{"id":8438,"date":"2025-08-01T15:14:19","date_gmt":"2025-08-01T15:14:19","guid":{"rendered":"https:\/\/bdih.spri.eus\/ollama-zerbitzaria\/"},"modified":"2025-08-01T16:54:35","modified_gmt":"2025-08-01T16:54:35","slug":"servidor-ollama","status":"publish","type":"post","link":"https:\/\/bdih.spri.eus\/es\/servidor-ollama\/","title":{"rendered":"Servidor Ollama"},"content":{"rendered":"

Ollama es una plataforma dise\u00f1ada para gestionar y ejecutar modelos de lenguaje grandes (Large Language Models o LLMs) de manera local en dispositivos. Ofrece una forma sencilla de descargar, ejecutar y utilizar estos modelos de inteligencia artificial sin la necesidad de conexi\u00f3n a la nube. Puede utilizar nuestra plataforma para experimentar y testear el modelo que mejor se ajuste a sus necesidades.<\/p>\n","protected":false},"excerpt":{"rendered":"

Ollama es una plataforma dise\u00f1ada para gestionar y ejecutar modelos de lenguaje grandes (Large Language Models o LLMs) de manera local en dispositivos. Ofrece una forma sencilla de descargar, ejecutar y utilizar estos modelos de inteligencia artificial sin la necesidad de conexi\u00f3n a la nube. Puede utilizar nuestra plataforma para experimentar y testear el modelo…<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-8438","post","type-post","status-publish","format-standard","hentry"],"acf":[],"yoast_head":"\nServidor Ollama - BDIH<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bdih.spri.eus\/es\/servidor-ollama\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Servidor Ollama - BDIH\" \/>\n<meta property=\"og:description\" content=\"Ollama es una plataforma dise\u00f1ada para gestionar y ejecutar modelos de lenguaje grandes (Large Language Models o LLMs) de manera local en dispositivos. 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