Salad - GPU Cloud | 10k+ GPUs for Generative AI

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Priceless AI

sari added

The human-centric platform for production ML & AI

Access data easily, scale compute cost-efficiently, and ship to production confidently with fully managed infrastructure, running securely in your cloud.

Infrastructure for ML, AI, and Data Science | Outerbounds

Nicolay Gerold added

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

Nicolay Gerold added

They will start to support autoscaling in March. You can configure multiple clouds and they deploy to the cheapest one.

Grass: Earn A Stake in the AI Revolution

getgrass.io

Mark Fishman added

Crowdsourced compute, “passive income”

AI-first infrastructure companies like Coreweave, Lambda Labs, Foundry, Replicate and Modal are unbundling the public clouds and providing what AI companies need most: plentiful GPUs at a reasonable cost, available on-demand and highly scalable, with a nice PaaS developer experience.

Sonya Huang • Generative AI’s Act Two

Darren LI added

Create stunning visuals in seconds with AI.

clipdrop.co

sari and added

Announcing Together Inference Engine – the fastest inference available

November 13, 2023・By Together

The Together Inference Engine is multiple times faster than any other inference service, with 117 tokens per second on Llama-2-70B-Chat and 171 tokens per second on Llama-2-13B-Chat

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Today we are announcing Together Inference Engine, the world’s fast... See more

Announcing Together Inference Engine – the fastest inference available

Nicolay Gerold added

Sonya Huang • Generative AI’s Act Two

Darren LI added