{"id":3690,"date":"2026-10-28T13:35:35","date_gmt":"2026-10-28T12:35:35","guid":{"rendered":"https:\/\/www.coolmod.com\/blog\/?p=3690"},"modified":"2026-10-28T13:44:35","modified_gmt":"2026-10-28T12:44:35","slug":"workstation-a-medida-de-alto-rendimiento-de-98-000e","status":"publish","type":"post","link":"https:\/\/www.coolmod.com\/blog\/categorias\/workstations\/workstation-a-medida-de-alto-rendimiento-de-98-000e\/","title":{"rendered":"Workstation a medida de alto rendimiento de 98.000\u20ac"},"content":{"rendered":"<p><b><span data-contrast=\"auto\">Hoy os presentamos el \u00faltimo proyecto que ha salido de nuestra secci\u00f3n COOLMOD IA, una workstation a medida de alto rendimiento valorada en aproximadamente 98.000 \u20ac,<\/span><\/b><span data-contrast=\"auto\"> montada a medida para <a href=\"https:\/\/www.integrasys-space.com\/\">Integrasys<\/a>, una empresa espa\u00f1ola de ingenier\u00eda de telecomunicaciones satelitales que monitoriza misiones de la NASA, desarrolla tecnolog\u00eda SIGINT para la OTAN y trabaja en digital twins de redes satelitales 5G.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p>En este post desglosamos el proyecto al completo: qui\u00e9n es Integrasys, qu\u00e9 necesidades nos trasladaron, qu\u00e9 componentes hemos elegido y por qu\u00e9 cada pieza de este equipo est\u00e1 donde est\u00e1. Si tu empresa trabaja con cargas de IA, simulaci\u00f3n o procesamiento masivo de datos, este caso te va a interesar.<\/p>\n<p>No es la primera vez que hacemos algo as\u00ed. Puedes echarle un ojo a <a class=\"text-interactive-link\" href=\"https:\/\/www.coolmod.com\/blog\/categorias\/hemos-montado-una-workstation-de-80000-eur\/\" target=\"_blank\" rel=\"noopener\">nuestra anterior workstation de +80.000 \u20ac<\/a>, otro proyecto real de COOLMOD IA.<\/p>\n<h2><span class=\"TextRun SCXW259450157 BCX0\" lang=\"ES-ES\" xml:lang=\"ES-ES\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW259450157 BCX0\" data-ccp-parastyle=\"heading 2\">El cliente: <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW259450157 BCX0\" data-ccp-parastyle=\"heading 2\">Integrasys<\/span><span class=\"NormalTextRun SCXW259450157 BCX0\" data-ccp-parastyle=\"heading 2\">, ingenier\u00eda satelital de referencia mundial. El proyecto: Una workstation a medida de alto rendimiento.<\/span><\/span><\/h2>\n<p><span data-contrast=\"auto\">Para entender por qu\u00e9 este PC existe, hay que entender qui\u00e9n lo ha pedido.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Integrasys es una empresa espa\u00f1ola de ingenier\u00eda que su campo son las telecomunicaciones satelitales, guerra electr\u00f3nica, inteligencia de se\u00f1ales (SIGINT) y ciberseguridad espacial. Por consiguiente, desarrollan un software propio que utilizan directamente organismos como:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">\ud83d\ude80 NASA \u2014 Seleccionada para monitorizar la misi\u00f3n Artemis II alrededor de la Luna<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">\ud83d\udee1\ufe0f OTAN \u2014 Sistemas de detecci\u00f3n de amenazas contra comunicaciones cr\u00edticas<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">\ud83c\uddea\ud83c\uddfa Agencia Espacial Europea (ESA)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">\ud83c\uddfa\ud83c\uddf8 Departamento de Defensa de EE.UU. (US DoD)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">\ud83c\uddeb\ud83c\uddf7\ud83c\uddee\ud83c\uddf9 Ministerios de Defensa de Francia e Italia<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">\u00bfPara qu\u00e9 necesita Integrasys una workstation a medida de alto rendimiento de IA de 98.000 \u20ac?<\/span><\/h3>\n<p><span class=\"TextRun SCXW174540112 BCX0\" lang=\"ES-ES\" xml:lang=\"ES-ES\" data-contrast=\"auto\"><span class=\"NormalTextRun SpellingErrorV2Themed SCXW174540112 BCX0\">Integrasys<\/span><span class=\"NormalTextRun SCXW174540112 BCX0\"> nos<strong> traslad\u00f3 tres necesidades concretas<\/strong> que esta <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW174540112 BCX0\">workstation<\/span><span class=\"NormalTextRun SCXW174540112 BCX0\"> a medida de alto rendimiento debe resolver:<\/span><\/span><span class=\"EOP Selected SCXW174540112 BCX0\" data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<h4 aria-level=\"4\">1. Simulaciones de constelaciones satelitales y digital twins<\/h4>\n<p><span data-contrast=\"auto\">Su producto <\/span><b><span data-contrast=\"auto\">GeoSig<\/span><\/b><span data-contrast=\"auto\"> es una plataforma web que permite dise\u00f1ar y evaluar constelaciones de sat\u00e9lites ISR (Inteligencia, Vigilancia y Reconocimiento), con <\/span><b><span data-contrast=\"auto\">estimaci\u00f3n de errores de geolocalizaci\u00f3n en tiempo real,<\/span><\/b><span data-contrast=\"auto\"> an\u00e1lisis de precisi\u00f3n basado en GDOP y simulaci\u00f3n de escenarios con par\u00e1metros configurables. Cada simulaci\u00f3n implica c\u00e1lculos de propagaci\u00f3n de se\u00f1al, \u00f3rbitas, geometr\u00eda espacial y modelos atmosf\u00e9ricos ejecut\u00e1ndose de forma simult\u00e1nea.<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;335559685&quot;:0}\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" title=\"Muestra de Geosig\" src=\"https:\/\/static.wixstatic.com\/media\/128ba8_c217b6c419bb4e1ab466705b0d7de4b7~mv2.png\/v1\/fill\/w_1048,h_494,al_c,q_90,enc_avif,quality_auto\/128ba8_c217b6c419bb4e1ab466705b0d7de4b7~mv2.png\" alt=\"Muestra de Geosig\" width=\"1048\" height=\"494\" \/>\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Adem\u00e1s, su proyecto <\/span><b><span data-contrast=\"auto\">INDISPENSABLE <\/span><\/b><span data-contrast=\"auto\">desarrolla <\/span><b><span data-contrast=\"auto\">un digital twin multiprop\u00f3sito<\/span><\/b><span data-contrast=\"auto\"> que optimiza la integraci\u00f3n de redes NTN (Non-Terrestrial Networks) en 5G avanzado, simulando conexiones sat\u00e9lite-tierra con enlaces h\u00edbridos RF y \u00f3pticos.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Lo que exige en t\u00e9rminos de hardware<\/span><\/b><span data-contrast=\"auto\"> potencia bruta de GPU para c\u00f3mputo paralelo masivo, VRAM suficiente para mantener simulaciones enteras en memoria y una CPU con decenas de n\u00facleos para orquestar m\u00faltiples hilos de c\u00e1lculo simult\u00e1neos.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<h4 aria-level=\"4\">2. An\u00e1lisis de se\u00f1ales RF y detecci\u00f3n de interferencias<\/h4>\n<p><b><span data-contrast=\"auto\">CleanRF<\/span><\/b><span data-contrast=\"auto\"> es su sistema de cancelaci\u00f3n de interferencias que protege se\u00f1ales de radiofrecuencia contra ataques de <\/span><b><span data-contrast=\"auto\">jamming<\/span><\/b><span data-contrast=\"auto\">, garantizando la superioridad espectral en redes 5G satelitales. Hablamos de capturar, analizar, clasificar y neutralizar interferencias en tiempo real sobre flujos de datos que pueden ocupar <\/span><b><span data-contrast=\"auto\">cientos de gigabytes por sesi\u00f3n de captura<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Por ello, para hacer esta workstation tambi\u00e9n buscamos que tuviera ancho de banda de memoria muy grande para procesar streams de datos RF continuos, almacenamiento NVMe ultrarr\u00e1pido para capturar sin p\u00e9rdidas y Tensor Cores para clasificaci\u00f3n automatizada de se\u00f1ales.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" title=\"CLEANRF | INTEGRASYS Interference Cancellation System\" src=\"https:\/\/static.wixstatic.com\/media\/128ba8_747154b5ed4c40e78793579cbd3c38aa~mv2.png\/v1\/fill\/w_1280,h_720,al_c\/128ba8_747154b5ed4c40e78793579cbd3c38aa~mv2.png\" alt=\"CLEANRF | INTEGRASYS Interference Cancellation System\" width=\"1280\" height=\"720\" \/><\/p>\n<h4 aria-level=\"4\">3. Productos internos de inteligencia artificial<\/h4>\n<p><span data-contrast=\"auto\">De manera paralela, I<\/span><span data-contrast=\"auto\">ntegrasys est\u00e1 desarrollando <\/span><b><span data-contrast=\"auto\">modelos propios de IA, <\/span><\/b><span data-contrast=\"auto\">por lo que entrenar estos modelos requiere ejecutar iteraciones sobre datasets masivos de se\u00f1ales satelitales durante horas o d\u00edas de forma ininterrumpida.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Adem\u00e1s, la naturaleza de su trabajo con <\/span><b><span data-contrast=\"auto\">defensa y organismos gubernamentales<\/span><\/b><span data-contrast=\"auto\"> hace que la nube no sea una opci\u00f3n viable. Los datos no pueden salir de su infraestructura. Necesitan <\/span><b><span data-contrast=\"auto\">IA en local<\/span><\/b><span data-contrast=\"auto\">.<\/span><\/p>\n<p>Para cualquier empresa, la IA local siempre ser\u00e1 mejor. Si quieres m\u00e1s informaci\u00f3n sobre esto, puedes echar un vistazo a nuestro blog \u00ab<a href=\"https:\/\/www.coolmod.com\/blog\/categorias\/destacadas\/ia-local-vs-suscripciones-de-ia\/\" target=\"_blank\" rel=\"noopener\">IA local vs suscripciones IA<\/a>\u00bb donde os lo explicamos mejor.<\/p>\n<h2 aria-level=\"2\"><\/h2>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">Especificaciones de la workstation<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:279}\"> a medida de alto rendimiento<\/span><\/h2>\n<p><span data-contrast=\"auto\">Cada pieza de esta workstation responde directamente a las necesidades que acabamos de describir.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-3710\" src=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/multi-2-scaled.jpg\" alt=\"\" width=\"2560\" height=\"1153\" srcset=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/multi-2-scaled.jpg 2560w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/multi-2-300x135.jpg 300w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/multi-2-1024x461.jpg 1024w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/multi-2-768x346.jpg 768w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/multi-2-1536x692.jpg 1536w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/multi-2-2048x922.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Especificaciones completas<\/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<table data-tablestyle=\"MsoNormalTable\" data-tablelook=\"1696\" aria-rowcount=\"10\" aria-colcount=\"4\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Componente<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Modelo<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Especificaci\u00f3n clave<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Qty<\/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=\"auto\">CPU<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">AMD Threadripper PRO 9985WX<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">64 n\u00facleos \/ 128 hilos \/ 5.4 GHz \/ 256 MB L3 \/ AVX-512<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u00d71<\/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=\"auto\">GPU<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">NVIDIA RTX PRO 6000 Blackwell<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">96 GB GDDR7 ECC \/ 24.064 CUDA cores \/ 752 Tensor Cores<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">\u00d73<\/span><\/b><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=\"auto\">Placa base<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">ASUS Pro WS WRX90E-SAGE SE<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Socket sTR5 \/ 7\u00d7 PCIe 5.0 x16 \/ Dual 10GbE<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u00d71<\/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=\"auto\">RAM<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">V-COLOR 256 GB DDR5<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">4\u00d764 GB \/ 5600 MHz \/ CL36<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u00d71<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"6\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Almacenamiento<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Samsung 990 PRO 4TB NVMe<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">7.450 \/ 6.900 MB\/s lectura\/escritura<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">\u00d72<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"7\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Fuente<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">SilverStone Hela 2500Rz<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">2.500W \/ Cybenetics Platinum \/ ATX 3.1<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u00d71<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"8\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Refrigeraci\u00f3n<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">SilverStone XE360-TR5<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">AIO 360mm para socket TR5<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u00d71<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"9\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Ventilaci\u00f3n<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Noctua NF-A8 PWM + NF-A14 Industrial<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Flujo optimizado en chasis<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u00d72 + \u00d71<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"10\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Chasis<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">SilverStone SST-RM51<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Rackmount 5U para m\u00faltiples GPUs de gran formato<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u00d71<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 aria-level=\"3\"><span data-contrast=\"none\">CPU: AMD Threadripper PRO 9985WX<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h4>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3695 size-full\" title=\"Ensamblando un procesador AMD Threadripper para workstation a medida de alto rendimiento\" src=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/thread-scaled.jpg\" alt=\"Ensamblando un procesador AMD Threadripper para workstation a medida de alto rendimiento\" width=\"2560\" height=\"1707\" srcset=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/thread-scaled.jpg 2560w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/thread-300x200.jpg 300w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/thread-1024x683.jpg 1024w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/thread-768x512.jpg 768w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/thread-1536x1024.jpg 1536w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/thread-2048x1365.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/p>\n<p><span data-contrast=\"auto\">Arquitectura <\/span><b><span data-contrast=\"auto\">Zen 5 a 4 nm<\/span><\/b><span data-contrast=\"auto\">. <\/span><b><span data-contrast=\"auto\">64 n\u00facleos y 128 hilos<\/span><\/b><span data-contrast=\"auto\"> con boost de hasta <\/span><b><span data-contrast=\"auto\">5.4 GHz<\/span><\/b><span data-contrast=\"auto\">. Este procesador ha sido la elecci\u00f3n por estas tres caracter\u00edsticas concretas:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">128 l\u00edneas PCIe 5.0<\/span><\/b><span data-contrast=\"auto\"> \u2192 Alimenta las tres RTX PRO 6000 simult\u00e1neamente sin cuellos de botella. En una plataforma de consumo, tres GPUs competir\u00edan por ancho de banda.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">8 canales de memoria DDR5 ECC<\/span><\/b><span data-contrast=\"auto\"> \u2192 El doble que cualquier plataforma HEDT convencional. Esto es cr\u00edtico cuando GeoSig necesita mantener una constelaci\u00f3n entera de sat\u00e9lites simulados en RAM mientras el modelo atmosf\u00e9rico corre en paralelo.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">AVX-512<\/span><\/b><span data-contrast=\"auto\"> \u2192 Set de instrucciones que permite procesar vectores de 512 bits por ciclo. Para procesamiento de se\u00f1ales RF y operaciones matem\u00e1ticas de geolocalizaci\u00f3n, esto se traduce en el doble de throughput frente a AVX2 en operaciones de punto flotante.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Los <\/span><b><span data-contrast=\"auto\">256 MB de cach\u00e9 L3<\/span><\/b><span data-contrast=\"auto\"> reducen la latencia de acceso a datos, algo que se nota especialmente en las iteraciones repetitivas del entrenamiento de modelos de IA.<\/span><\/p>\n<h4 aria-level=\"2\"><span data-contrast=\"none\">GPU: 3\u00d7 NVIDIA RTX PRO 6000 Blackwell<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h4>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3696 size-full\" title=\"Workstation a medida de alto rendimiento ensamblada y preparada con 3 tarjetas gr\u00e1ficas nvidia PRO\" src=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/graf-scaled.jpg\" alt=\"Workstation a medida de alto rendimiento ensamblada y preparada con 3 tarjetas gr\u00e1ficas nvidia PRO\" width=\"2560\" height=\"1707\" srcset=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/graf-scaled.jpg 2560w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/graf-300x200.jpg 300w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/graf-1024x683.jpg 1024w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/graf-768x512.jpg 768w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/graf-1536x1024.jpg 1536w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/graf-2048x1365.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/p>\n<p><span data-contrast=\"auto\">Esta GPU es la m\u00e1s potente que hay en el mercado, pero para llegar a los requisitos que necesitaban ten\u00edamos que combinar <\/span><b><span data-contrast=\"auto\">tres unidades<\/span><\/b><span data-contrast=\"auto\">. Estos son los n\u00fameros combinados:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoNormalTable\" data-tablelook=\"1696\" aria-rowcount=\"9\" aria-colcount=\"3\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">M\u00e9trica<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Por GPU<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Total (\u00d73)<\/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\"><span data-contrast=\"auto\">VRAM GDDR7 ECC<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">96 GB<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">288 GB<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">CUDA Cores<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">24.064<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">72.192<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Tensor Cores<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">752<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">2.256<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"5\">\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">RT Cores<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">188<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">564<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"6\">\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Rendimiento IA<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">4.000 TOPS<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">~12.000 TOPS<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"7\">\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Precisi\u00f3n simple (FP32)<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">125 TFLOPS<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">375 TFLOPS<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"8\">\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Ancho de banda memoria<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">1.792 GB\/s<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">5.376 GB\/s<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"9\">\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">TDP<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">600W<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">1.800W<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5 aria-level=\"4\">\u00bfPor qu\u00e9 288 GB de VRAM importan tanto?<\/h5>\n<p><span data-contrast=\"auto\">Porque permiten cargar modelos de IA de <\/span><b><span data-contrast=\"auto\">m\u00e1s de 200 mil millones de par\u00e1metros completos en memoria<\/span><\/b><span data-contrast=\"auto\"> sin fragmentaci\u00f3n ni offloading a CPU.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Para Integrasys, esto significa:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Ejecutar <\/span><b><span data-contrast=\"auto\">simulaciones GeoSig completas<\/span><\/b><span data-contrast=\"auto\"> con constelaciones de decenas de sat\u00e9lites sin paginar a disco.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Procesar <\/span><b><span data-contrast=\"auto\">streams de se\u00f1ales RF en tiempo real<\/span><\/b><span data-contrast=\"auto\"> con CleanRF mientras los Tensor Cores clasifican autom\u00e1ticamente el tipo de interferencia.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Entrenar <\/span><b><span data-contrast=\"auto\">redes neuronales propias<\/span><\/b><span data-contrast=\"auto\"> sobre datasets de se\u00f1ales satelitales sin tener que reducir el batch size por limitaciones de memoria.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Adem\u00e1s, los <\/span><b><span data-contrast=\"auto\">2.256 Tensor Cores combinados<\/span><\/b><span data-contrast=\"auto\"> son el acelerador espec\u00edfico para operaciones de IA. Nos dan multiplicaciones de matrices en precisi\u00f3n mixta (FP16\/FP8) que son la base de cualquier entrenamiento de deep learning actual.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<h4 aria-level=\"3\"><span data-contrast=\"none\">Placa base: ASUS Pro WS WRX90E-SAGE SE<\/span><\/h4>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3699 size-full\" title=\"Placa base workstation a medida de alto rendimiento para Integrasys\" src=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/DSC7499-scaled-e1793184675757.jpg\" alt=\"Placa base workstation a medida de alto rendimiento para Integrasys\" width=\"1706\" height=\"2029\" srcset=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/DSC7499-scaled-e1793184675757.jpg 1706w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/DSC7499-scaled-e1793184675757-252x300.jpg 252w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/DSC7499-scaled-e1793184675757-861x1024.jpg 861w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/DSC7499-scaled-e1793184675757-768x913.jpg 768w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/DSC7499-scaled-e1793184675757-1291x1536.jpg 1291w\" sizes=\"(max-width: 1706px) 100vw, 1706px\" \/><\/p>\n<p><span data-contrast=\"auto\">No cualquier placa base puede gestionar un sistema de este calibre. La <\/span><b><span data-contrast=\"auto\">WRX90E-SAGE SE<\/span><\/b><span data-contrast=\"auto\"> es una placa de formato <\/span><b><span data-contrast=\"auto\">SSI EEB<\/span><\/b><span data-contrast=\"auto\"> (m\u00e1s grande que ATX) dise\u00f1ada espec\u00edficamente para workstations profesionales:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<ul>\n<li><b><span data-contrast=\"auto\">7 slots PCIe 5.0 x16<\/span><\/b><span data-contrast=\"auto\"> \u2192 Permite la instalaci\u00f3n de las 3 GPUs con espacio y ancho de banda dedicado.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Power stages 32+3+3+3<\/span><\/b><span data-contrast=\"auto\"> \u2192 Regulaci\u00f3n de voltaje sobredimensionada para alimentar los 350W del Threadripper PRO sin variaciones bajo carga sostenida.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Dual 10 Gigabit Ethernet Intel<\/span><\/b><span data-contrast=\"auto\"> \u2192 Transferencia de datos a alta velocidad hacia servidores internos o redes de captura de se\u00f1ales.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">4 slots M.2 PCIe 5.0<\/span><\/b><span data-contrast=\"auto\"> \u2192 Para los dos Samsung 990 PRO con conexi\u00f3n directa al procesador.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">ASUS Control Center Express<\/span><\/b><span data-contrast=\"auto\"> \u2192 Gesti\u00f3n in-band y out-of-band del equipo, fundamental para un entorno empresarial donde la m\u00e1quina puede necesitar administraci\u00f3n remota.<\/span><\/li>\n<\/ul>\n<h4 aria-level=\"3\"><span data-contrast=\"none\">RAM, almacenamiento, alimentaci\u00f3n y refrigeraci\u00f3n<\/span><\/h4>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3697 size-full\" title=\"Memorias de workstation a medida de alto rendimiento\" src=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/milti-scaled.jpg\" alt=\"Memorias de workstation a medida de alto rendimiento\" width=\"2560\" height=\"977\" srcset=\"https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/milti-scaled.jpg 2560w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/milti-300x114.jpg 300w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/milti-1024x391.jpg 1024w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/milti-768x293.jpg 768w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/milti-1536x586.jpg 1536w, https:\/\/www.coolmod.com\/blog\/wp-content\/uploads\/2026\/10\/milti-2048x781.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/p>\n<p><b><span data-contrast=\"auto\">256 GB de DDR5 a 5.600 MHz (4\u00d764 GB, CL36)<\/span><\/b><span data-contrast=\"auto\"> \u2192 Quad-channel a trav\u00e9s de los 8 canales del Threadripper PRO. Permite mantener simult\u00e1neamente el entorno de simulaci\u00f3n, los pipelines de preprocesamiento de datos y los frameworks de IA cargados en memoria sin swapping a disco.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">8 TB de NVMe (2\u00d7 Samsung 990 PRO 4TB)<\/span><\/b><span data-contrast=\"auto\"> \u2192 Velocidades de lectura de hasta <\/span><b><span data-contrast=\"auto\">7.450 MB\/s<\/span><\/b><span data-contrast=\"auto\"> y escritura de <\/span><b><span data-contrast=\"auto\">6.900 MB\/s<\/span><\/b><span data-contrast=\"auto\">. Los datasets de se\u00f1ales RF capturadas en sesiones de monitorizaci\u00f3n pueden ocupar cientos de gigabytes. Con 8 TB de almacenamiento NVMe ultrarr\u00e1pido, Integrasys puede almacenar y acceder a semanas de capturas sin recurrir a almacenamiento externo m\u00e1s lento.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Fuente de 2.500W SilverStone Hela 2500Rz<\/span><\/b><span data-contrast=\"auto\"> \u2192 No es un capricho. Es una necesidad matem\u00e1tica:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoNormalTable\" data-tablelook=\"1696\" aria-rowcount=\"5\" aria-colcount=\"2\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Componente<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Consumo m\u00e1ximo<\/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\"><span data-contrast=\"auto\">3\u00d7 RTX PRO 6000<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">1.800W<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Threadripper PRO 9985WX<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">350W<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">RAM + NVMe + ventiladores + placa<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">~100W<\/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=\"auto\">Total estimado<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">~2.250W<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span data-contrast=\"auto\">La certificaci\u00f3n <\/span><b><span data-contrast=\"auto\">Cybenetics Platinum<\/span><\/b><span data-contrast=\"auto\"> garantiza eficiencia superior al 92 % bajo carga, y la compatibilidad <\/span><b><span data-contrast=\"auto\">ATX 3.1 \/ PCIe 5.0<\/span><\/b><span data-contrast=\"auto\"> proporciona alimentaci\u00f3n limpia a las GPUs a trav\u00e9s de los nuevos conectores 12V-2\u00d76.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Refrigeraci\u00f3n SilverStone XE360-TR5<\/span><\/b><span data-contrast=\"auto\"> \u2192 AIO de 360mm <\/span><b><span data-contrast=\"auto\">dise\u00f1ada espec\u00edficamente para socket TR5<\/span><\/b><span data-contrast=\"auto\">. Los 350W del Threadripper PRO necesitan una soluci\u00f3n de refrigeraci\u00f3n que no es compatible con AIO est\u00e1ndar. Los ventiladores <\/span><b><span data-contrast=\"auto\">Noctua NF-A8 PWM y NF-A14 Industrial PPC-2000<\/span><\/b><span data-contrast=\"auto\"> complementan el flujo de aire interno, moviendo el calor generado por las tres GPUs de 600W fuera del chasis <\/span><b><span data-contrast=\"auto\">SilverStone SST-RM51<\/span><\/b><span data-contrast=\"auto\">, un rackmount 5U con espacio suficiente para alojar tres GPUs de gran formato en vertical.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">IA local vs. cloud: por qu\u00e9 Integrasys no puede depender de 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><\/h2>\n<p><span data-contrast=\"auto\">Este punto es clave para entender la inversi\u00f3n. <\/span><b><span data-contrast=\"auto\">98.000 \u20ac es mucho dinero. Pero no lo es si lo comparas con la alternativa:<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoNormalTable\" data-tablelook=\"1696\" aria-rowcount=\"7\" aria-colcount=\"3\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Criterio<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Cloud (3\u00d7 GPU pro equivalente)<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Workstation local<\/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=\"auto\">Coste mensual<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">~15.000 \u20ac+\/mes<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">0 \u20ac tras la inversi\u00f3n<\/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=\"auto\">Privacidad de datos<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u274c Datos en servidores externos<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u2705 Todo en tu infraestructura<\/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=\"auto\">Latencia<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Variable, dependiente de red<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">M\u00ednima, ejecuci\u00f3n local<\/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=\"auto\">Disponibilidad<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Sujeta al proveedor<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">24\/7 bajo tu control<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"6\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Amortizaci\u00f3n<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">Nunca (gasto recurrente)<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">~6-7 meses<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"7\">\n<td data-celllook=\"69905\"><b><span data-contrast=\"auto\">Datos clasificados de defensa<\/span><\/b><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u274c Incompatible con protocolos NATO\/DoD<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"69905\"><span data-contrast=\"auto\">\u2705 Compatible<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span data-contrast=\"auto\">Para una empresa que trabaja con <\/span><b><span data-contrast=\"auto\">datos clasificados de la OTAN, la NASA y ministerios de defensa europeos<\/span><\/b><span data-contrast=\"auto\">, enviar informaci\u00f3n a un servidor cloud de AWS o Azure <\/span><b><span data-contrast=\"auto\">simplemente no es una opci\u00f3n<\/span><\/b><span data-contrast=\"auto\">. La workstation local no es solo una preferencia t\u00e9cnica: es un <\/span><b><span data-contrast=\"auto\">requisito de seguridad<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Y desde el punto de vista financiero, una inversi\u00f3n de 98.000 \u20ac frente a un gasto recurrente de m\u00e1s de 15.000 \u20ac\/mes se amortiza en <\/span><b><span data-contrast=\"auto\">menos de 7 meses<\/span><\/b><span data-contrast=\"auto\">. A partir de ah\u00ed, cada mes de uso es ahorro neto.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">COOLMOD IA sigue creciendo<\/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=\"auto\">Este montaje para Integrasys representa un nuevo hito para <\/span><a href=\"https:\/\/www.coolmod.com\/contenido\/coolmod-ia\/\" target=\"_blank\" rel=\"noopener\"><b><span data-contrast=\"auto\">COOLMOD IA<\/span><\/b><\/a><span data-contrast=\"auto\">. Desde nuestra anterior <a href=\"https:\/\/www.coolmod.com\/blog\/categorias\/hemos-montado-una-workstation-de-80000-eur\/\" target=\"_blank\" rel=\"noopener\">workstation de m\u00e1s de 80.000 \u20ac<\/a>, hemos seguido empujando los l\u00edmites de lo que podemos ofrecer a empresas que necesitan computaci\u00f3n de \u00e9lite.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Nuestro proceso para <\/span><b><span data-contrast=\"auto\">workstations profesionales de IA para empresas<\/span><\/b><span data-contrast=\"auto\"> sigue un flujo completo:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<ol>\n<li><b><span data-contrast=\"auto\">Consultor\u00eda<\/span><\/b><span data-contrast=\"auto\"> \u2192 Analizamos el caso de uso, las cargas de trabajo y los requisitos de seguridad.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Dise\u00f1o a medida<\/span><\/b><span data-contrast=\"auto\"> \u2192 Seleccionamos cada componente en funci\u00f3n de las necesidades reales del cliente.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Validaci\u00f3n<\/span><\/b><span data-contrast=\"auto\"> \u2192 Verificamos compatibilidad el\u00e9ctrica, t\u00e9rmica y de firmware.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Montaje profesional<\/span><\/b><span data-contrast=\"auto\"> \u2192 Ensamblaje por t\u00e9cnicos especializados.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Testeo bajo estr\u00e9s<\/span><\/b><span data-contrast=\"auto\"> \u2192 Pruebas de estabilidad prolongadas bajo carga m\u00e1xima.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Entrega y soporte<\/span><\/b><span data-contrast=\"auto\"> \u2192 Env\u00edo seguro y soporte postventa dedicado.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ol>\n<p><span data-contrast=\"auto\">Si tu empresa trabaja con <\/span><b><span data-contrast=\"auto\">inteligencia artificial, simulaci\u00f3n, an\u00e1lisis de datos o cualquier carga de computaci\u00f3n intensiva<\/span><\/b><span data-contrast=\"auto\">, COOLMOD IA puede dise\u00f1ar y montar exactamente lo que necesitas. Da igual que sean 5.000 \u20ac o 100.000 \u20ac. Lo que importa es que cada euro resuelva un problema real de tu negocio.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">\ud83d\udce9 Contacta con nuestro equipo B2B: <\/span><\/b><a href=\"mailto:comercial@coolmod.com\"><span data-contrast=\"auto\">comercial@coolmod.com<\/span><\/a><span data-ccp-props=\"{&quot;335559685&quot;:0}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hoy os presentamos el \u00faltimo proyecto que ha salido de nuestra secci\u00f3n COOLMOD IA, una workstation a medida de alto rendimiento valorada en aproximadamente 98.000<\/p>\n","protected":false},"author":10,"featured_media":3708,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,168],"tags":[195,55,123,165],"class_list":["post-3690","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-corporativos","category-workstations","tag-coolmod-ia","tag-ia","tag-tecnologia","tag-workstation"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.12 - 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