
For multi-node training jobs, storage speeds often become the bottleneck. Read how TensorPool solves that. tensorpool.dev/blog/fast-nfs-…

AMD Instinct MI300x have entered the pool on tensorpool.dev! Starting at $2.49/hr. #AMD #MI300x

Excited to launch our tutorial series. Learn how to easily spin up a GPU and attach storage. youtu.be/4qPY2UHG71o
youtube.com
YouTube
TensorPool Tutorial 1: Spin Up Your First GPU
Multi-node B200s and H200s have entered the pool on tensorpool.dev! B200s starting at $4.99/hr, H200s starting at $2.99/hr.

We're hosting the largest applied AI research workshop + hackathon. May 23-24 @AGIHouseSF -> agenthacks.org $10K in prizes, $25K in credits, tech talks, bounties. Hosts @dexterity_ai, @afterquery, @agihousesf. If you're a top student, researcher, or builder - DM.

New TensorPool feature alert! You can now train a job on multiple GPUs.
🌊@TensorPool is the easiest way to use cloud GPUs. They bring the world’s GPUs to your local IDE. ycombinator.com/launches/Mq0-t… Congrats on the launch, @TychoSvoboda, @joshkmartinez, and @hlumelonotshe!
🚀 @TensorPool launched! The Easiest Way To Use GPUs 🌊 "Just describe your job and they handle all the GPU orchestration and execution at half the cost" 🌐 fondo.ai/433HH4i Founded by Tycho Svoboda, Joshua Martinez & Hlumelo Notshe
fondo.com
Fondo | TensorPool Launches: The Easiest Way To Use GPUs 🌊
TensorPool Launches: The Easiest Way To Use GPUs 🌊
Massive quality of life updates in TensorPool V2! Including: - Stdout streaming to your terminal - A ton of new CLI commands so you can manage your job from your IDE - Brand new CLI dashboard - A100 release Check out our updated docs to get started: github.com/tensorpool/ten…
github.com
GitHub - tensorpool/tensorpool: A CLI for GPUs
A CLI for GPUs. Contribute to tensorpool/tensorpool development by creating an account on GitHub.
TensorPool beta is up. Free for two weeks. Try us out! github.com/tensorpool/ten…
github.com
GitHub - tensorpool/tensorpool: A CLI for GPUs
A CLI for GPUs. Contribute to tensorpool/tensorpool development by creating an account on GitHub.
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