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eigenlayer and avs: explain like i'm five https://t.co/L8nlbeXQgR

Suhail Kakar (🫰,✨)

x.com

"Manage GPU clusters for running LLMs" https://t.co/rgumVV1w9w

Tom Dörr

x.com

dstack is an open-source toolkit and orchestration engine for running GPU workloads. It's designed for development, training, and deployment of gen AI models on any cloud.

Supported providers: AWS, GCP, Azure, Lambda, TensorDock, Vast.ai, and DataCrunch.

Latest news ✨

[2024/01] dstack 0.14.0: OpenAI-compatible endpoints preview (Release)

[2023/12] dst

dstackai • GitHub - dstackai/dstack: dstack is an open-source toolkit for running GPU workloads on any cloud. It works seamlessly with any cloud GPU providers. Discord: https://discord.gg/u8SmfwPpMd

(1/4) EVM storage 📦 Slots, bits, bytes and gas refunds… How is storage structured and accessed in the EVM? https://t.co/tI0UpcsXo3

malone

x.com

Stack I'm using for https://t.co/25PpiT9sEw (long list...) 🧱 @tan_stack - Framework / APIs / Forms ☁️ @vercel - Hosting / Analytics ✉️ @resend - Emails ⚒️ @tiptap_editor - Text Editor 👤 @better_auth - Auth 📦 @convex_dev - Database /... See more

Raheem Gordon x.com

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Stacks: The Nakamoto Upgrade https://t.co/d6JV4tRZDw

Franklin Templeton Digital Assets

x.com

open-source GPU cluster manager for AI models https://t.co/DXpDY3Xkxq

Tom Dörr

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old -> new sqs -> qstash step functions -> upstash workflow elasticache -> upstash redis

Enes Akar x.com

The way I understand it, you can use it to create clusters of cheap GPUs (e.g. from vast ai). https://t.co/4JoZO7DBWE

Tom Dörr x.com