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wfalcon

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LitServe: Build custom AI inference engines

github.com
1 points·by wfalcon·il y a 9 mois·0 comments

Build your own AI model inference engines

github.com
1 points·by wfalcon·il y a 9 mois·0 comments

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1 points·by wfalcon·il y a 11 mois·0 comments

[untitled]

1 points·by wfalcon·il y a 11 mois·0 comments

[untitled]

1 points·by wfalcon·il y a 12 mois·0 comments

[untitled]

1 points·by wfalcon·il y a 12 mois·0 comments

[untitled]

1 points·by wfalcon·il y a 12 mois·0 comments

Agent sandbox: safe, persistent cloud environments for agents

lightning.ai
2 points·by wfalcon·l’année dernière·1 comments

[untitled]

1 points·by wfalcon·l’année dernière·0 comments

[untitled]

1 points·by wfalcon·l’année dernière·0 comments

Lightning AI hub: Production AI in your cloud in minutes

lightning.ai
16 points·by wfalcon·l’année dernière·0 comments

Deploy dedicated DeepSeek 32B on L40 GPUs ($8/hour)

lightning.ai
19 points·by wfalcon·l’année dernière·6 comments

I'm crazy: I deployed DeepSeek in my company VPC in <24 hours without Kubernetes

lightning.ai
5 points·by wfalcon·l’année dernière·2 comments

Deploy a custom Llama 3 API in 15 lines of code

lightning.ai
1 points·by wfalcon·il y a 2 ans·0 comments

Thunder – A new compiler for PyTorch that can use many device executors at once

github.com
11 points·by wfalcon·il y a 2 ans·1 comments

Remote GPU development with VSCode [video]

youtube.com
1 points·by wfalcon·il y a 2 ans·0 comments

comments

wfalcon
·l’année dernière·discuss
Studios are a great google colab alternative with:

- persistent storage (setup env and data persists across restarts)

- free ssh and connect your local IDE

- CPU setup, GPU run (do setup work on CPUs and switch to run on a GPU when ready)

- no credit card

- pay-as-you-go if you need more GPU hours

- A100s, H100s, and more GPUs available
wfalcon
·il y a 2 ans·discuss
this is also what our (Lightning AI) lit-gpt library does. https://github.com/Lightning-AI/lit-gpt
wfalcon
·il y a 4 ans·discuss
welcome to Lightning AI! Mike, super excited to drive the future of ML together.