{"id":3469,"date":"2026-07-31T14:47:19","date_gmt":"2026-07-31T12:47:19","guid":{"rendered":"https:\/\/www.coolmod.com\/blog\/?p=3469"},"modified":"2026-08-13T11:59:10","modified_gmt":"2026-08-13T09:59:10","slug":"que-hardware-necesitas-para-ia-local-guia-completa-2026","status":"publish","type":"post","link":"https:\/\/www.coolmod.com\/blog\/categorias\/workstations\/que-hardware-necesitas-para-ia-local-guia-completa-2026\/","title":{"rendered":"\u00bfQu\u00e9 hardware necesitas para IA local? Gu\u00eda completa 2026"},"content":{"rendered":"<h2><span class=\"TextRun SCXW110901486 BCX0\" lang=\"ES-ES\" xml:lang=\"ES-ES\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW110901486 BCX0\" data-ccp-parastyle=\"heading 2\">\u00bfQu\u00e9 es ejecutar un LLM en local?<\/span><\/span><span class=\"EOP Selected SCXW110901486 BCX0\" data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Cuando hablamos de\u00a0<\/span><b><span data-contrast=\"auto\">ejecutar un LLM en local,<\/span><\/b><span data-contrast=\"auto\">\u00a0nos referimos a\u00a0<\/span><span data-contrast=\"none\">hacer funcionar un modelo de lenguaje grande (un\u00a0<\/span><i><span data-contrast=\"none\">Large\u00a0Language\u00a0Model<\/span><\/i><span data-contrast=\"none\">, como los que est\u00e1n detr\u00e1s de\u00a0ChatGPT\u00a0o Gemini)\u00a0<\/span><b><span data-contrast=\"none\">directamente en tu propio ordenador,\u00a0<\/span><\/b><span data-contrast=\"none\">sin enviar ni un\u00a0solo\u00a0dato\u00a0a los servidores de una empresa externa.\u00a0En lugar de que tu pregunta viaje por internet hasta un centro de datos de\u00a0OpenAI, Google o\u00a0Anthropic, todo el proceso (la lectura de tu texto, el razonamiento y la generaci\u00f3n de la respuesta) ocurre dentro de tu propio ordenador.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Durante a\u00f1os, esto fue territorio exclusivo de investigadores con acceso a equipos car\u00edsimos. Hoy la situaci\u00f3n ha cambiado por completo.\u00a0<\/span><b><span data-contrast=\"none\">La ejecuci\u00f3n de\u00a0LLMs\u00a0en local ha dejado de ser un experimento de entusiastas para convertirse en una opci\u00f3n seria y madura<\/span><\/b><span data-contrast=\"none\">.\u00a0En 2026, modelos abiertos como\u00a0<\/span><b><span data-contrast=\"none\">Llama 4<\/span><\/b><span data-contrast=\"none\">,\u00a0<\/span><b><span data-contrast=\"none\">Qwen 3<\/span><\/b><span data-contrast=\"none\">,\u00a0<\/span><b><span data-contrast=\"none\">DeepSeek\u00a0R1<\/span><\/b><span data-contrast=\"none\">\u00a0o\u00a0<\/span><b><span data-contrast=\"none\">Gemma 3<\/span><\/b><span data-contrast=\"none\">\u00a0pueden ejecutarse en hardware asequible con resultados que, en muchas tareas cotidianas, rivalizan directamente con los servicios de pago en la nube.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Ese salto de calidad, combinado con herramientas que han hecho el proceso trivial, es lo que ha convertido la IA local en una de las tendencias m\u00e1s importantes del a\u00f1o.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-3474\" src=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-1.jpg\" alt=\"\" width=\"1440\" height=\"380\" srcset=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-1.jpg 1440w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-1-300x79.jpg 300w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-1-1024x270.jpg 1024w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-1-768x203.jpg 768w\" sizes=\"(max-width: 1440px) 100vw, 1440px\" \/><\/p>\n<p><span data-contrast=\"none\">Pero \u00bfpor qu\u00e9 molestarse en montar todo esto en casa cuando ChatGPT est\u00e1 a un clic de distancia? La respuesta se resume en tres grandes ventajas.\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"none\">Privacidad<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"none\">coste\u00a0<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"none\">control<\/span><\/b><span data-contrast=\"none\">.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"none\">Vamos a verlas una por una, porque entender el\u00a0<\/span><i><span data-contrast=\"none\">porqu\u00e9<\/span><\/i><span data-contrast=\"none\">\u00a0es lo que te ayudar\u00e1 a decidir si esta tecnolog\u00eda encaja contigo o con tu empresa.<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Privacidad: tus datos nunca salen de tu equipo<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Este es, para la mayor\u00eda de\u00a0profesionales, el argumento definitivo. Cada vez que utilizas una API en la nube (ya sea la de\u00a0OpenAI, la de Google o cualquier otra)\u00a0<\/span><b><span data-contrast=\"none\">el contenido de tus consultas sale de tu ordenador y viaja hasta un servidor externo<\/span><\/b><span data-contrast=\"none\">. Para una pregunta trivial, eso no importa. Pero la situaci\u00f3n cambia radicalmente cuando trabajas con\u00a0<\/span><b><span data-contrast=\"none\">informaci\u00f3n sensible<\/span><\/b><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-3475\" src=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-2.jpg\" alt=\"\" width=\"1440\" height=\"380\" srcset=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-2.jpg 1440w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-2-300x79.jpg 300w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-2-1024x270.jpg 1024w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-2-768x203.jpg 768w\" sizes=\"(max-width: 1440px) 100vw, 1440px\" \/><\/p>\n<p><span data-contrast=\"none\">Piensa en un despacho de abogados que quiere resumir contratos confidenciales, en una cl\u00ednica que maneja historiales m\u00e9dicos, en un desarrollador que trabaja con c\u00f3digo propietario, o en una consultora que gestiona datos financieros de sus clientes. En todos estos casos,\u00a0<\/span><b><span data-contrast=\"none\">enviar ese contexto a una API externa introduce un riesgo real<\/span><\/b><span data-contrast=\"none\">, y en muchos sectores regulados directamente\u00a0<\/span><b><span data-contrast=\"none\">no es una opci\u00f3n legal<\/span><\/b><span data-contrast=\"none\">. La normativa de protecci\u00f3n de datos, los acuerdos de confidencialidad y las pol\u00edticas internas de\u00a0compliance\u00a0chocan de frente con la idea de mandar informaci\u00f3n delicada a un tercero.<\/span><\/p>\n<p><span class=\"TextRun SCXW247050224 BCX0\" lang=\"ES-ES\" xml:lang=\"ES-ES\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW247050224 BCX0\">Aqu\u00ed es donde la IA local brilla con luz propia.\u00a0<\/span><\/span><span class=\"TextRun MacChromeBold SCXW247050224 BCX0\" lang=\"ES-ES\" xml:lang=\"ES-ES\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW247050224 BCX0\">Con un LLM ejecut\u00e1ndose en tu\u00a0<\/span><span class=\"NormalTextRun SCXW247050224 BCX0\">ordenador<\/span><span class=\"NormalTextRun SCXW247050224 BCX0\">, el dato nunca sale del per\u00edmetro<\/span><\/span><span class=\"TextRun SCXW247050224 BCX0\" lang=\"ES-ES\" xml:lang=\"ES-ES\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW247050224 BCX0\">. No hay servidor externo, no hay transferencia por internet, no hay una empresa ajena procesando tu informaci\u00f3n. La conversaci\u00f3n empieza y termina dentro de tu ordenador.<\/span><\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Coste cero por token: sin suscripciones ni\u00a0APIs\u00a0de pago<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">El segundo gran motivo es econ\u00f3mico. Los servicios de IA en la nube funcionan con un modelo de\u00a0<\/span><b><span data-contrast=\"none\">pago por uso,\u00a0<\/span><\/b><span data-contrast=\"none\">cobras cada\u00a0<\/span><i><span data-contrast=\"none\">token.\u00a0<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"none\">Coste por consulta:<\/span><\/b><span data-contrast=\"none\">\u00a0pr\u00e1cticamente\u00a0<\/span><b><span data-contrast=\"none\">cero<\/span><\/b><span data-contrast=\"none\">. Solo pagas la electricidad que consume tu equipo mientras genera la respuesta.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"none\">Consultas ilimitadas:<\/span><\/b><span data-contrast=\"none\">\u00a0puedes lanzar mil peticiones o un mill\u00f3n sin que la factura cambie.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"none\">Esto es especialmente relevante para tres perfiles:\u00a0<\/span><b><span data-contrast=\"none\">desarrolladores<\/span><\/b><span data-contrast=\"none\">\u00a0que hacen pruebas constantes durante el desarrollo,\u00a0<\/span><b><span data-contrast=\"none\">empresas<\/span><\/b><span data-contrast=\"none\">\u00a0que procesan grandes vol\u00famenes de texto de forma sistem\u00e1tica, y\u00a0<\/span><b><span data-contrast=\"none\">entusiastas<\/span><\/b><span data-contrast=\"none\">\u00a0que quieren experimentar.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Una vez amortizado el hardware, tu asistente de IA trabaja gratis, veinticuatro horas al d\u00eda, sin l\u00edmites de uso ni sorpresas en la factura.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">\u00bfCu\u00e1ndo tiene sentido frente a la nube?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">No todo es blanco o negro. La IA local no sustituye por completo a los grandes modelos en la nube en todos los escenarios.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">La siguiente tabla resume cu\u00e1ndo tiene sentido cada opci\u00f3n, para que puedas ubicarte r\u00e1pidamente:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoNormalTable\" data-tablelook=\"1696\" aria-rowcount=\"8\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Situaci\u00f3n<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">IA local\u00a0<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">IA en la nube<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"2\">\n<td data-celllook=\"69905\"><span data-contrast=\"none\">Trabajas con\u00a0<\/span><b><span data-contrast=\"none\">datos confidenciales o regulados<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u2705 Ideal<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u274c Riesgo \/ no permitido<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Uso intensivo y continuo<\/span><\/b><span data-contrast=\"none\">\u00a0(miles de consultas)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u2705 Coste fijo<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u274c Factura creciente<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"69905\"><span data-contrast=\"none\">Necesitas el\u00a0<\/span><b><span data-contrast=\"none\">modelo m\u00e1s potente del mercado<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u26a0\ufe0f Limitado por tu hardware<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u2705 Acceso a lo \u00faltimo<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"5\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Sin inversi\u00f3n inicial<\/span><\/b><span data-contrast=\"none\">\u00a0en equipo<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u274c Requiere hardware<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u2705 Empiezas gratis<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"6\">\n<td data-celllook=\"69905\"><span data-contrast=\"none\">Quieres\u00a0<\/span><b><span data-contrast=\"none\">funcionamiento sin conexi\u00f3n a internet<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u2705 Funciona offline<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u274c Requiere conexi\u00f3n<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"7\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Uso ocasional<\/span><\/b><span data-contrast=\"none\">\u00a0(pocas preguntas al d\u00eda)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u26a0\ufe0f Sobredimensionado<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u2705 M\u00e1s pr\u00e1ctico<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"8\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Control total<\/span><\/b><span data-contrast=\"none\">\u00a0sobre el modelo y los datos<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u2705 Absoluto<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">\u274c Dependes del proveedor<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span data-contrast=\"none\">En resumen,\u00a0<\/span><b><span data-contrast=\"none\">la IA local gana con contundencia cuando la privacidad, el coste recurrente o el control son prioritarios<\/span><\/b><span data-contrast=\"none\">, mientras que la nube sigue siendo c\u00f3moda para el uso espor\u00e1dico o cuando necesitas acceso al \u00faltimo modelo gigante del mercado.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">Qu\u00e9 hardware necesitas seg\u00fan el modelo que quieras ejecutar<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"none\">Esta es, probablemente, la secci\u00f3n m\u00e1s importante de toda la gu\u00eda.\u00a0<\/span><b><span data-contrast=\"none\">\u00bfQu\u00e9 PC necesito para ejecutar IA en local?<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">La VRAM es el cuello de botella<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Si te quedas con una sola idea de este art\u00edculo, que sea esta.\u00a0<\/span><b><span data-contrast=\"none\">El principal cuello de botella para la IA local rara vez es la CPU; casi siempre se trata de la VRAM de la GPU y del ancho de banda de la memoria<\/span><\/b><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-3477\" src=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-3.jpg\" alt=\"\" width=\"1440\" height=\"380\" srcset=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-3.jpg 1440w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-3-300x79.jpg 300w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-3-1024x270.jpg 1024w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-3-768x203.jpg 768w\" sizes=\"(max-width: 1440px) 100vw, 1440px\" \/><\/p>\n<p><b><span data-contrast=\"none\">la VRAM de la GPU debe alojar el modelo completo para alcanzar el rendimiento pico<\/span><\/b><span data-contrast=\"none\">\u00a0(m\u00e1s de 50 tokens por segundo, una velocidad a la que el texto aparece m\u00e1s r\u00e1pido de lo que puedes leer). Cuando la VRAM es insuficiente, la herramienta que uses\u00a0<\/span><b><span data-contrast=\"none\">descarga parte de las capas del modelo a la RAM del sistema a trav\u00e9s del bus PCIe<\/span><\/b><span data-contrast=\"none\">, y ah\u00ed es donde todo se derrumba<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Esta tabla es tu mapa de referencia. Cruza el modelo que quieres usar con la VRAM que necesita (usando la cuantizaci\u00f3n est\u00e1ndar Q4_K_M, que explicaremos m\u00e1s adelante):<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoNormalTable\" data-tablelook=\"1696\" aria-rowcount=\"5\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Modelo<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Par\u00e1metros<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">VRAM m\u00ednima (Q4_K_M)<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">GPU recomendada<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Velocidad aproximada<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"2\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Llama 4 Scout 8B<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">8B<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">6 GB<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">RTX 5060 8GB<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">40+\u00a0tok\/s<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Qwen 3 14B<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">14B<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">10 GB<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">RTX 5060 Ti 16GB<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">30+\u00a0tok\/s<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">DeepSeek\u00a0R1 32B<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">32B<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">20 GB<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">RTX 5090 24GB<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">20+\u00a0tok\/s<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"5\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Llama 3.3 70B<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">70B<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">42 GB<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">RTX 5090 32GB (offload\u00a0parcial)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">8-15\u00a0tok\/s<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span data-contrast=\"none\">F\u00edjate en un detalle crucial de la \u00faltima fila: el modelo de\u00a0<\/span><b><span data-contrast=\"none\">70B par\u00e1metros necesita 42 GB de VRAM<\/span><\/b><span data-contrast=\"none\">, m\u00e1s de lo que ofrece incluso la potent\u00edsima RTX 5090 (32 GB). Por eso aparece \u00aboffload\u00a0parcial\u00bb, una parte del modelo se descarga a la RAM y la velocidad cae.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-3481\" src=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-4.jpg\" alt=\"\" width=\"1440\" height=\"380\" srcset=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-4.jpg 1440w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-4-300x79.jpg 300w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-4-1024x270.jpg 1024w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/07\/llm-4-768x203.jpg 768w\" sizes=\"(max-width: 1440px) 100vw, 1440px\" \/><\/p>\n<p><span data-contrast=\"none\">Para ejecutar c\u00f3modamente modelos de 70B o m\u00e1s, entramos en el terreno de las configuraciones profesionales o Mini\u00a0PCs\u00a0IA, algo que veremos al final.<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Nivel 1 \u2014 Modelos 7B-8B: desde 8 GB de VRAM<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Este es el punto de entrada, y para la inmensa mayor\u00eda de usuarios\u00a0<\/span><b><span data-contrast=\"none\">es todo lo que realmente necesitan<\/span><\/b><span data-contrast=\"none\">.\u00a0Los modelos de 7 a 8 mil millones de par\u00e1metros (7B-8B) son sorprendentemente capaces: redactan textos, responden preguntas, resumen documentos, traducen, ayudan con programaci\u00f3n b\u00e1sica y mantienen conversaciones coherentes.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"none\">Para la mayor\u00eda de\u00a0usuarios, entre 8 y 12 GB de VRAM es el punto \u00f3ptimo para ejecutar modelos en local<\/span><\/b><span data-contrast=\"none\">. Con esa cantidad de memoria puedes ejecutar modelos 7-8B como\u00a0<\/span><b><span data-contrast=\"none\">Llama 3.1 8B<\/span><\/b><span data-contrast=\"none\">\u00a0o\u00a0<\/span><b><span data-contrast=\"none\">Qwen 3 8B<\/span><\/b><span data-contrast=\"none\">\u00a0con cuantizaci\u00f3n Q4_K_M a\u00a0<\/span><b><span data-contrast=\"none\">m\u00e1s de 40 tokens por segundo<\/span><\/b><span data-contrast=\"none\">, una velocidad excelente para uso interactivo real.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Las tarjetas gr\u00e1ficas ideales para este nivel son las <\/span><b><span data-contrast=\"none\">RTX 5060<\/span><\/b><span data-contrast=\"none\">, consideradas de forma un\u00e1nime las mejores opciones calidad-precio para empezar en IA local.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-teams=\"true\"><div\n            class=\"coolmod-widget-root\"\n            data-products=\"[{&quot;code&quot;:&quot;PROD-038815&quot;,&quot;name&quot;:&quot;Asus Dual GeForce RTX 5060 8GB OC GDDR7 DLSS4&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-038815_1.jpg&quot;,&quot;price&quot;:569.95000000000005,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/asus-dual-geforce-rtx-5060-8gb-oc-gddr7-dlss4\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-038947&quot;,&quot;name&quot;:&quot;MSI GeForce RTX 5060 GAMING OC 8GB GDDR7 DLSS4&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-038947_1.jpg&quot;,&quot;price&quot;:562.95000000000005,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/msi-geforce-rtx-5060-gaming-oc-8gb-gddr7-dlss4\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-039005&quot;,&quot;name&quot;:&quot;Gigabyte GeForce RTX 5060 AERO OC 8GB GDDR7 DLSS4&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-039005_1.jpg&quot;,&quot;price&quot;:526.96000000000004,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/gigabyte-geforce-rtx-5060-aero-oc-8gb-gddr7-dlss4\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-045512&quot;,&quot;name&quot;:&quot;Zotac Gaming GeForce RTX 5060 Twin Edge OC 8GB GDDR7 DLSS4&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-045512_1.jpg&quot;,&quot;price&quot;:592.95000000000005,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/zotac-gaming-geforce-rtx-5060-twin-edge-oc-8gb-gddr7-dlss4\\\/&quot;,&quot;badge&quot;:&quot;&quot;}]\"\n            data-publish-date=\"2026-07\"\n            data-post-id=\"3469\"\n            data-post-slug=\"que-hardware-necesitas-para-ia-local-guia-completa-2026\">\n        <\/div><\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Nivel 2 \u2014 Modelos 13B-34B: 34 GB de VRAM<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Cuando das el salto a modelos de entre 13B y 34B par\u00e1metros,\u00a0<\/span><b><span data-contrast=\"none\">las respuestas son m\u00e1s matizadas, el razonamiento m\u00e1s profundo y la capacidad de seguir instrucciones complejas mejora notablemente<\/span><\/b><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Para este nivel necesitas <strong>34<\/strong><\/span><b><span data-contrast=\"none\"><strong>\u00a0<\/strong>GB de VRAM<\/span><\/b><span data-contrast=\"none\">. Aqu\u00ed entran en juego tarjetas como la\u00a0<\/span><b><span data-contrast=\"none\">RTX 5090 (24 GB\/32 GB)<\/span><\/b><span data-contrast=\"none\">, que permiten ejecutar modelos como\u00a0<\/span><b><span data-contrast=\"none\">DeepSeek\u00a0R1 32B<\/span><\/b><span data-contrast=\"none\">\u00a0con soltura.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-teams=\"true\"><div\n            class=\"coolmod-widget-root\"\n            data-products=\"[{&quot;code&quot;:&quot;PROD-037677&quot;,&quot;name&quot;:&quot;Asus ROG Astral GeForce RTX 5090 OC Gaming 32GB GDDR7 DLSS4&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-037677_1.jpg&quot;,&quot;price&quot;:7299.9499999999998,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/asus-rog-astral-geforce-rtx-5090-oc-gaming-32gb-gddr7\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-042217&quot;,&quot;name&quot;:&quot;Gigabyte GeForce RTX 5090 WindForce OC 32GB GDDR7 DLSS4&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-042217_1.jpg&quot;,&quot;price&quot;:3999.9499999999998,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/gigabyte-geforce-rtx-5090-windforce-oc-32gb-gddr7-dlss4\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-046458&quot;,&quot;name&quot;:&quot;Zotac Gaming GeForce RTX 5090 SOLID OC White Edition 32GB GDDR7 DLSS4&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-046458_1.jpg&quot;,&quot;price&quot;:4899.96,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/zotac-gaming-geforce-rtx-5090-solid-oc-white-edition-32gb-gddr7-dlss4\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-047787&quot;,&quot;name&quot;:&quot;Gigabyte AORUS GeForce RTX 5090 INFINITY 32GB GDDR7 DLSS4&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-047787_1.jpg&quot;,&quot;price&quot;:4899.96,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/gigabyte-aorus-geforce-rtx-5090-infinity-32gb-gddr7-dlss4\\\/&quot;,&quot;badge&quot;:&quot;&quot;}]\"\n            data-publish-date=\"2026-07\"\n            data-post-id=\"3469\"\n            data-post-slug=\"que-hardware-necesitas-para-ia-local-guia-completa-2026\">\n        <\/div><\/span><\/p>\n<p><span data-contrast=\"none\">Un consejo de oro. Es <\/span><b><span data-contrast=\"none\">mejor ejecutar un modelo de 34B en cuantizaci\u00f3n Q6_K que un modelo de 70B en Q2_K<\/span><\/b><span data-contrast=\"none\">, porque la p\u00e9rdida de calidad al comprimir un modelo hasta Q2_K es severa.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Nivel 3 \u2014 Modelos 70B+: 48 GB+ de VRAM o configuraciones multi-GPU<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Aqu\u00ed llegamos al territorio profesional.\u00a0Los modelos de\u00a0<\/span><b><span data-contrast=\"none\">70 mil millones de par\u00e1metros o m\u00e1s<\/span><\/b><span data-contrast=\"none\">\u00a0ofrecen una calidad que se acerca de verdad a los grandes servicios comerciales, pero exigen una cantidad de memoria que ning\u00fan hardware de consumo est\u00e1ndar puede ofrecer por s\u00ed solo. Como vimos en la tabla, un modelo de 70B necesita alrededor de\u00a0<\/span><b><span data-contrast=\"none\">42 GB de VRAM<\/span><\/b><span data-contrast=\"none\">, y para trabajar con holgura la recomendaci\u00f3n es disponer de\u00a0<\/span><b><span data-contrast=\"none\">48 GB o m\u00e1s<\/span><\/b><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Existen dos caminos para llegar ah\u00ed:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ol>\n<li><b><span data-contrast=\"none\">GPUs\u00a0profesionales de gran capacidad<\/span><\/b><span data-contrast=\"none\">, como las tarjetas de la serie RTX PRO o las Radeon AI PRO, dise\u00f1adas espec\u00edficamente para cargas de trabajo de IA y con cantidades de VRAM muy superiores a las tarjetas gaming.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"none\">Configuraciones multi-GPU<\/span><\/b><span data-contrast=\"none\">, donde combinas varias tarjetas para sumar su memoria. Por ejemplo, dos RTX 5090 de 32 GB llegan a 64 GB combinados, aunque conviene saber que la memoria no se comporta exactamente como un \u00fanico bloque limpio y a\u00f1ade complejidad de configuraci\u00f3n, consumo y refrigeraci\u00f3n.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ol>\n<p><span data-teams=\"true\"><div\n            class=\"coolmod-widget-root\"\n            data-products=\"[{&quot;code&quot;:&quot;PROD-041952&quot;,&quot;name&quot;:&quot;PNY NVIDIA RTX Pro 6000 IA Blackwell Max-Q 96GB GDDR7&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-041952_1.jpg&quot;,&quot;price&quot;:18734.950000000001,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/pny-nvidia-rtx-pro-6000-ia-blackwell-max-q-96gb-gddr7\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-045257&quot;,&quot;name&quot;:&quot;NVIDIA RTX PRO 5000 IA Blackwell 48GB GDDR7 ECC Bulk&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-045257_1.jpg&quot;,&quot;price&quot;:10496.959999999999,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/nvidia-rtx-pro-5000-ia-blackwell-48gb-gddr7-ecc-bulk\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-046386&quot;,&quot;name&quot;:&quot;PNY NVIDIA RTX Pro 4000 IA Blackwell SFF Edition 24GB GDDR7 Smallbox&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-046386_1.jpg&quot;,&quot;price&quot;:3420.9499999999998,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/pny-nvidia-rtx-pro-4000-ia-blackwell-sff-edition-24gb-gddr7-smallbox\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-046475&quot;,&quot;name&quot;:&quot;NVIDIA RTX PRO 4500 IA Blackwell 32GB GDDR7 ECC Bulk&quot;,&quot;category&quot;:&quot;Tarjetas Gr\\u00e1ficas&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-046475_1.jpg&quot;,&quot;price&quot;:6102.9499999999998,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/nvidia-rtx-pro-4500-ia-blackwell-32gb-gddr7-ecc-bulk\\\/&quot;,&quot;badge&quot;:&quot;&quot;}]\"\n            data-publish-date=\"2026-07\"\n            data-post-id=\"3469\"\n            data-post-slug=\"que-hardware-necesitas-para-ia-local-guia-completa-2026\">\n        <\/div><\/span><\/p>\n<p><span data-contrast=\"none\">Pero llegados a este punto,\u00a0tambi\u00e9n\u00a0podr\u00edas\u00a0considerar los Mini\u00a0PCs\u00a0para IA. (La que consideramos mejor opci\u00f3n).<\/span><span data-ccp-props=\"{}\"> De estos os hablaremos m\u00e1s adelante.<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">RAM, SSD y otros componentes que importan<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Aunque la GPU es la estrella, el resto del equipo no debe quedarse corto o se convertir\u00e1 en un lastre. Estos son los m\u00ednimos que debes respetar:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"none\">Memoria RAM: 32 GB de RAM es el m\u00ednimo pr\u00e1ctico para trabajo serio con IA local en 2026<\/span><\/b><span data-contrast=\"none\">. La RAM es especialmente importante cuando el modelo no cabe entero en la VRAM y hay que descargar parte a la memoria del sistema<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"none\">Almacenamiento SSD:<\/span><\/b><span data-contrast=\"none\">\u00a0los modelos ocupan mucho espacio (un modelo de 70B puede rondar las decenas de gigabytes), as\u00ed que necesitas un\u00a0<\/span><b><span data-contrast=\"none\">SSD\u00a0NVMe\u00a0r\u00e1pido<\/span><\/b><span data-contrast=\"none\">\u00a0tanto por capacidad como por velocidad de carga.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"none\">Fuente de alimentaci\u00f3n y refrigeraci\u00f3n:<\/span><\/b><span data-contrast=\"none\">\u00a0las\u00a0GPUs\u00a0potentes consumen mucho y generan mucho calor durante la inferencia sostenida. Una fuente de calidad con margen de potencia y una buena refrigeraci\u00f3n no son opcionales si vas a exigirle al equipo durante horas.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-teams=\"true\"><div\n            class=\"coolmod-widget-root\"\n            data-products=\"[{&quot;code&quot;:&quot;PROD-009205&quot;,&quot;name&quot;:&quot;Corsair Vengeance LPX Black 32GB 2x16GB 3200MHz CL16&quot;,&quot;category&quot;:&quot;Memorias RAM&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-009205_1.jpg&quot;,&quot;price&quot;:149.96000000000001,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/corsair-vengeance-lpx-black-32gb-2x16gb-3200mhz-pc4-25600-cl16-memoria-ddr4-69999\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-033921&quot;,&quot;name&quot;:&quot;Corsair SF1000 80 Plus Platinum SFX 1000W ATX 3.1 PCIe 5.1 Modular&quot;,&quot;category&quot;:&quot;Fuentes de Alimentaci\\u00f3n&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-033921_1.jpg&quot;,&quot;price&quot;:214.94999999999999,&quot;old_price&quot;:249.94999999999999,&quot;discount&quot;:14,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/corsair-sf1000-2024-80-plus-platinum-sfx-1000w-atx-3-1-pcie-5-1-modular\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-034697&quot;,&quot;name&quot;:&quot;Corsair iCUE LINK TITAN 360 RX RGB Negro&quot;,&quot;category&quot;:&quot;Kits R. L\\u00edquida All in One&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-034697_1.jpg&quot;,&quot;price&quot;:190.94999999999999,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/corsair-icue-link-titan-360-rx-rgb-negro\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-038850&quot;,&quot;name&quot;:&quot;Western Digital Black SN7100 1TB PCIe Gen4 x4 NVMe SSD&quot;,&quot;category&quot;:&quot;Almacenamiento HDD y SSD&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-038850_1.jpg&quot;,&quot;price&quot;:199.94999999999999,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/western-digital-black-sn7100-1tb-pcie-gen4-x4-nvme-ssd\\\/&quot;,&quot;badge&quot;:&quot;&quot;}]\"\n            data-publish-date=\"2026-07\"\n            data-post-id=\"3469\"\n            data-post-slug=\"que-hardware-necesitas-para-ia-local-guia-completa-2026\">\n        <\/div><\/span><\/p>\n<p><span data-contrast=\"none\">La siguiente tabla resume los requisitos m\u00ednimos y recomendados seg\u00fan los niveles vistos anteriormente:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoNormalTable\" data-tablelook=\"1696\" aria-rowcount=\"5\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Componente<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">M\u00ednimo (Nivel 1)<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Recomendado (Nivel 2)<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Profesional (Nivel 3)<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"2\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">VRAM (GPU)<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">8-12 GB<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">16-24 GB<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">48 GB+<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">RAM<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">16 GB<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">32 GB<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">64-128 GB<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">Almacenamiento<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">SSD\u00a0NVMe\u00a0500 GB<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">SSD\u00a0NVMe\u00a01 TB<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">SSD\u00a0NVMe\u00a02 TB+<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"5\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"none\">GPU ejemplo<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">RTX 3060 12GB<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">RTX 4090 \/ 5090<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"none\">RTX PRO \/\u00a0Mini PC IA<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">Qu\u00e9 PC necesitas para IA local\u00a0(3 configuraciones recomendadas)<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"none\">Aqu\u00ed tienes tres configuraciones tipo, pensadas para tres perfiles de usuario distintos. Pi\u00e9nsalas como puntos de partida que puedes ajustar seg\u00fan tu presupuesto y tus necesidades.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Configuraci\u00f3n de entrada (~800-1.200\u20ac): para modelos 7B<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Esta es la puerta de acceso a la IA local, ideal para\u00a0<\/span><b><span data-contrast=\"none\">estudiantes, entusiastas que empiezan y profesionales que quieren probar la tecnolog\u00eda<\/span><\/b><span data-contrast=\"none\">\u00a0sin una gran inversi\u00f3n. Con este equipo ejecutar\u00e1s modelos de 7B-8B con fluidez, m\u00e1s que suficiente para asistencia de escritura, res\u00famenes, traducci\u00f3n y programaci\u00f3n b\u00e1sica.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\"> <div\n            class=\"coolmod-widget-root\"\n            data-products=\"[{&quot;code&quot;:&quot;PROD-008730&quot;,&quot;name&quot;:&quot;COOLPC Gamer VI - Ryzen 5 8400F \\\/ Radeon RX 9070 GRE 12Gb \\\/ 16GB DDR5 \\\/ NVMe 1Tb \\\/ W11&quot;,&quot;category&quot;:&quot;COOLPC - Gamer&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-008730_1.jpg&quot;,&quot;price&quot;:1499.95,&quot;old_price&quot;:1677.5899999999999,&quot;discount&quot;:11,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-gamer-vi\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-009805&quot;,&quot;name&quot;:&quot;COOLPC Gamer V - Ryzen 7 5700X \\\/ GeForce RTX 5060 Ti 8Gb \\\/ 32GB DDR4 \\\/ NVMe 1Tb \\\/ W11&quot;,&quot;category&quot;:&quot;COOLPC - Gamer&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-009805_1.jpg&quot;,&quot;price&quot;:1399.95,&quot;old_price&quot;:1748.54,&quot;discount&quot;:20,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-gamer-iv\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-010982&quot;,&quot;name&quot;:&quot;COOLPC Gamer III - Ryzen 5 5500F \\\/ GeForce RTX 5060 8Gb \\\/ 16GB DDR4 \\\/ NVMe 1Tb \\\/ W11&quot;,&quot;category&quot;:&quot;COOLPC - Gamer&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-010982_1.jpg&quot;,&quot;price&quot;:999.95000000000005,&quot;old_price&quot;:1262.5,&quot;discount&quot;:21,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-gamer-iii\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-045909&quot;,&quot;name&quot;:&quot;COOLPC Gamer VII Core - Ryzen 5 8400F \\\/ GeForce RTX 5060 8Gb \\\/ 16GB DDR5 \\\/ NVMe 1Tb \\\/ W11&quot;,&quot;category&quot;:&quot;COOLPC - Gamer&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-045909_1.jpg&quot;,&quot;price&quot;:1199.95,&quot;old_price&quot;:1345.6500000000001,&quot;discount&quot;:11,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-gamer-vii-core\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;}]\"\n            data-publish-date=\"2026-07\"\n            data-post-id=\"3469\"\n            data-post-slug=\"que-hardware-necesitas-para-ia-local-guia-completa-2026\">\n        <\/div><\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Configuraci\u00f3n intermedia (+3.500\u20ac): para modelos hasta 34B<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">El punto dulce para el\u00a0<\/span><b><span data-contrast=\"none\">profesional serio, el desarrollador y la peque\u00f1a empresa<\/span><\/b><span data-contrast=\"none\">\u00a0que va a usar la IA local como herramienta de trabajo diaria. Con este equipo accedes a modelos de 13B-34B, con un salto notable en calidad de respuesta y capacidad de razonamiento.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\"> <div\n            class=\"coolmod-widget-root\"\n            data-products=\"[{&quot;code&quot;:&quot;PROD-011109&quot;,&quot;name&quot;:&quot;COOLPC Gamer XVIII - R7 9850X3D \\\/ GeForce RTX 5080 16Gb \\\/ 32GB DDR5 \\\/ NVMe 2Tb \\\/ W11&quot;,&quot;category&quot;:&quot;COOLPC - Gamer Extreme&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-011109_1.jpg&quot;,&quot;price&quot;:3999.9499999999998,&quot;old_price&quot;:4841.5,&quot;discount&quot;:17,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-gamer-xviii\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-011773&quot;,&quot;name&quot;:&quot;COOLPC Gamer XVII - R7 9800X3D \\\/ GeForce RTX 5080 16Gb \\\/ 32Gb DDR5 \\\/ NVMe 2Tb \\\/ W11&quot;,&quot;category&quot;:&quot;COOLPC - Gamer Extreme&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-011773_1.jpg&quot;,&quot;price&quot;:3999.9499999999998,&quot;old_price&quot;:4569.5,&quot;discount&quot;:12,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-gamer-xvii\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-016589&quot;,&quot;name&quot;:&quot;COOLPC Gamer XIX - Ryzen 9 9950X3D2 \\\/ GeForce RTX 5070 Ti 16Gb \\\/ 32GB DDR5 \\\/ NVMe 2Tb \\\/ W11&quot;,&quot;category&quot;:&quot;COOLPC - Gamer Extreme&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-016589_1.jpg&quot;,&quot;price&quot;:4699.9499999999998,&quot;old_price&quot;:5213.5,&quot;discount&quot;:10,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-gamer-xix\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-039054&quot;,&quot;name&quot;:&quot;NZXT Gaming by COOLPC IV - R7 9800X3D \\\/ GeForce RTX 5080 16Gb \\\/ 128GB DDR5 \\\/ NVMe 2Tb \\\/ W11&quot;,&quot;category&quot;:&quot;COOLPC - Special Edition&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-039054_1.jpg&quot;,&quot;price&quot;:6112.0100000000002,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/nzxt-gaming-by-coolpc-iv\\\/&quot;,&quot;badge&quot;:&quot;&quot;}]\"\n            data-publish-date=\"2026-07\"\n            data-post-id=\"3469\"\n            data-post-slug=\"que-hardware-necesitas-para-ia-local-guia-completa-2026\">\n        <\/div><\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Configuraci\u00f3n avanzada \/ profesional: para modelos 70B+<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Aqu\u00ed entramos en el terreno de las\u00a0<\/span><b><span data-contrast=\"none\">workstations\u00a0especializadas en IA<\/span><\/b><span data-contrast=\"none\">, para quienes necesitan ejecutar los modelos m\u00e1s grandes, entrenar modelos propios o procesar grandes vol\u00famenes de datos con la m\u00e1xima calidad y estabilidad.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\"> <div\n            class=\"coolmod-widget-root\"\n            data-products=\"[{&quot;code&quot;:&quot;PROD-044433&quot;,&quot;name&quot;:&quot;COOLPC IA Pro MAX - Threadripper 9980X \\\/ Radeon Ai 9700 32GB \\\/ 128GB DDR5 \\\/ SSD 2TB&quot;,&quot;category&quot;:&quot;COOLPC - IA&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-044433_1.jpg&quot;,&quot;price&quot;:16999.950000000001,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-threadripper\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-044832&quot;,&quot;name&quot;:&quot;COOLPC IA Pro Core - Ryzen 7 9700X \\\/ Radeon Ai 9700 32GB \\\/ 32GB DDR5 \\\/ SSD 2TB&quot;,&quot;category&quot;:&quot;COOLPC - IA&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-044832_1.jpg&quot;,&quot;price&quot;:4499.9499999999998,&quot;old_price&quot;:5081.2299999999996,&quot;discount&quot;:11,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-ai-pro-core\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-044833&quot;,&quot;name&quot;:&quot;COOLPC IA Pro X - Threadripper 9960X \\\/ Radeon AI 9700 32GB \\\/ 64GB DDR5 \\\/ SSD 2TB&quot;,&quot;category&quot;:&quot;COOLPC - IA&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-044833_1.jpg&quot;,&quot;price&quot;:7499.9499999999998,&quot;old_price&quot;:8350.7800000000007,&quot;discount&quot;:10,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-ai-pro-x\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-045408&quot;,&quot;name&quot;:&quot;COOLPC IA Master - Threadripper 9955WX \\\/ Radeon Ai 9700 32GB \\\/ 128GB DDR5 \\\/ SSD 2TB&quot;,&quot;category&quot;:&quot;COOLPC - IA&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-045408_1.jpg&quot;,&quot;price&quot;:12999.950000000001,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/coolpc-ia-master-threadripper-9975wx-rx-9700-24gb-128gb-ddr5-ssd-2tb\\\/&quot;,&quot;badge&quot;:&quot;&quot;}]\"\n            data-publish-date=\"2026-07\"\n            data-post-id=\"3469\"\n            data-post-slug=\"que-hardware-necesitas-para-ia-local-guia-completa-2026\">\n        <\/div><\/span><\/p>\n<p><span data-contrast=\"none\">En estas configuraciones\u00a0tambi\u00e9n\u00a0valoramos introducir los <strong>Mini\u00a0PCs\u00a0para IA, capaces de mover modelos de IA de hasta 200.000 millones de par\u00e1metros\u2026<\/strong>\u00a0Adem\u00e1s, puedes hacer un rack con ellos y conectar hasta 3 simult\u00e1neamente.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\"> <div\n            class=\"coolmod-widget-root\"\n            data-products=\"[{&quot;code&quot;:&quot;PROD-045450&quot;,&quot;name&quot;:&quot;Asus Ascent GX10-GG0003BN Nvidia GB10 Grace Blackwell 128GB 1TB DGX Spark IA&quot;,&quot;category&quot;:&quot;Mini PCs&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-045450_1.jpg&quot;,&quot;price&quot;:6799.9499999999998,&quot;old_price&quot;:7299.9499999999998,&quot;discount&quot;:7,&quot;promo&quot;:true,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/asus-ascent-gx10-gg0003bn-ia-nvidia-gb10-grace-blackwell-128gb-1tb-wifi7\\\/&quot;,&quot;badge&quot;:&quot;Oferta&quot;},{&quot;code&quot;:&quot;PROD-045451&quot;,&quot;name&quot;:&quot;Asus Ascent GX10-GG0026BN Nvidia GB10 Grace Blackwell 128GB 2TB DGX Spark IA&quot;,&quot;category&quot;:&quot;Mini PCs&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-045451_1.jpg&quot;,&quot;price&quot;:8997.9500000000007,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/asus-ascent-gx10-gg0026bn-ia-nvidia-gb10-grace-blackwell-128gb-2tb-wifi7\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-046115&quot;,&quot;name&quot;:&quot;Gigabyte AI TOP ATOM Nvidia GB10 Grace Blackwell 128GB 4TB DGX Spark Gen5&quot;,&quot;category&quot;:&quot;Mini PCs&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-046115_1.jpg&quot;,&quot;price&quot;:8516.9500000000007,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/gigabyte-ai-top-atom-atagb10-9000-arm-cortex-x295-cortex-a725-nvidia-blackwell-128gb-4tb-dgx-os\\\/&quot;,&quot;badge&quot;:&quot;&quot;},{&quot;code&quot;:&quot;PROD-047796&quot;,&quot;name&quot;:&quot;Asus Ascent GX10-GG0027BN Nvidia GB10 Grace Blackwell 128GB 4TB DGX Spark IA&quot;,&quot;category&quot;:&quot;Mini PCs&quot;,&quot;image&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/images\\\/product\\\/large\\\/PROD-047796_1.jpg&quot;,&quot;price&quot;:9287.9500000000007,&quot;old_price&quot;:null,&quot;discount&quot;:0,&quot;promo&quot;:false,&quot;url&quot;:&quot;https:\\\/\\\/www.coolmod.com\\\/asus-ascent-gx10-gg0027bn-nvidia-gb10-nvidia-blackwell-128gb-4tb-dgx-os\\\/&quot;,&quot;badge&quot;:&quot;&quot;}]\"\n            data-publish-date=\"2026-07\"\n            data-post-id=\"3469\"\n            data-post-slug=\"que-hardware-necesitas-para-ia-local-guia-completa-2026\">\n        <\/div><\/span><\/p>\n<p><span data-contrast=\"none\"><a href=\"https:\/\/www.coolmod.com\/blog\/categorias\/destacadas\/mini-pcs-como-las-nuevas-workstations-de-ia\/\" target=\"_blank\" rel=\"noopener\">Toda la informaci\u00f3n aqu\u00ed.<\/a>\u00a0Te dejamos un art\u00edculo completo para que veas lo que merecen la pena.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00bfQu\u00e9 es ejecutar un LLM en local?\u00a0 Cuando hablamos de\u00a0ejecutar un LLM en local,\u00a0nos referimos a\u00a0hacer funcionar un modelo de lenguaje grande (un\u00a0Large\u00a0Language\u00a0Model, como los<\/p>\n","protected":false},"author":10,"featured_media":3495,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9,31,168],"tags":[],"class_list":["post-3469","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-componentes","category-destacadas","category-workstations"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.12 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u00bfQu\u00e9 hardware necesitas para IA local? 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