GPU hosting guides for running open-source AI models such as Qwen, Llama, DeepSeek and Mistral: VRAM requirements, provider prices and deployment tutorials.
Mistral AI is Europe’s leading AI lab, and it publishes many of its models with open weights. The lineup covers everything from the tiny Ministral 3 models that run on a laptop GPU, to Mistral Small 4 (a 119B Mixture-of-Experts model), Mistral Medium 3.5, and the 675B-parameter Mistral Large 3. 🧮 Not sure which GPU … Read more
Gemma 4 is Google DeepMind’s family of open AI models, built from the same research as Gemini. Released in 2026 under the Apache 2.0 license, it is free for commercial use. Every model is multimodal: it understands images and video, and the smaller models also understand audio. 🧮 Not sure which GPU you need? Try … Read more
DeepSeek makes some of the strongest open-weight AI models you can download today. The DeepSeek V4 family, and the newer DeepSeek-V4.1-Flash released in September 2026, come close to closed frontier AI models on coding, math and agentic benchmarks. They are MIT-licensed, so you can self-host them, fine-tune them and use them commercially. 🧮 Not sure … Read more
Alibaba’s Qwen family is now one of the most popular open-weight LLM lineups. You can download it, fine-tune it and use it commercially. The catch is hardware: even the mid-size Qwen3.8-27B needs a 24 GB GPU to run well, and the 122B and 397B MoE models need data-center cards. 🧮 Not sure which GPU you … Read more