Vast AI: Run ANY LLM Using Cloud GPU and Ollama!

[@intheworldofai]

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[@jackpre3399]

If we planning to run the Llama 3.1 405B model on a cloud GPU, cost will be: GPU Cost: Using NVIDIA H100 GPUs at $3.33/hr. For 3 GPUs over 10 hours, it’s around $99.90. Storage Cost: At $0.03/GB/hr, for 820GB over 10 hours, it’s about $246.00. Total Estimated Cost: $345.90 for a 10-hour session !!!

[@magicandr]

That's crazy

[@randomfacts11223]

Bro, you don't need a 4080 to a run a model like phi 2. A GTX 1660 Ti is enough for that small model. Even the llama 3.1 8b can run on that

[@PhuongTran-ud2br]

My laptop's gpu is 3060 6gb vram, can i run llama3 on this? Or some small model? Sorry if my bad english :D

[@j0hnc0nn0r-sec]

I run them both on a 1080 with 16 GB RAM. No problems

[@brunodutra5566]

@@PhuongTran-ud2br Yes you can run it locally

[@faisalferoz6859]

I need to run and train the 4 terabyte dataset. Kindly suggest me any solution

[@JayS.-mm3qr]

So which models would one run on this thing, and why? I've used llms on LmStudio, Anything LLM, and Ollama, with a 4060ti 16gb. Never had a problem. But I don't get the hugest models. Are the huge ones really that much better, that it would justify paying for it? Can I use Claude Sonnet on this Vast AI site?

[@algorsmith8381]

damn here in jan 2025 , how did i miss this video 😑😑😑😑😑😑😑😑😑 i missed out on so much money

[@intheworldofai]

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[@flrn84791]

"12 of 24 GB VRAM" for phi 2 🤡🤣 First, learn to read, it says "CAN RUN ON 12GB TO 24GB VRAM GPUs", not "NEEDS 12 TO 24GB OF VRAM". Second, that's not even remotely true, phi 2 at Q4 quantization needs 1.6GB of VRAM, so any GPU with 2 GB of VRAM can load and run it. Third, yikes, way to try and sell vast AI uh. Alright bye, thanks for the laugh.