TensorPool

The CLI for GPUs

[Hlumelo Notshe @hlumelonotshe]

We're joining OpenAI! Building TensorPool with @joshkmartinez and @Tycho was such a fun ride. At @TensorPool we wanted to empower every researcher to focus on the science and not infrastructure. I'm excited to continue that mission. So grateful to everyone thats been on the ride

[Joshua Martinez @joshkmartinez]

I'm happy to share that @TychoSvoboda , @hlumelonotshe, and I have joined @OpenAI

Our mission at @TensorPool was to accelerate ML research by helping teams get more out of their infrastructure. At OpenAI, we are carrying that mission forward at an unprecedented scale.

To our users, partners, and investors: thank you for your trust and support along the way.

[Tycho Svoboda @TychoSvoboda]

Another overdue announcement for your feed....@joshkmartinez , @hlumelonotshe and I have joined @OpenAI! We've had a blast building @TensorPool to make infra easy, and are pumped to keep pushing on that mission at an unprecedented scale.

HUGE thanks to our investors, users, and other folks that helped us along the way :)

[TensorPool @TensorPool]

https://t.co/2PJVsLK68D

[TensorPool @TensorPool]

Introducing TensorPool Recon

Chat-based observability for Prometheus-instrumented GPU clusters.

Ask what’s going on with your GPU fleet, Recon responds with PromQL-backed findings and generative UI charts.

[TensorPool @TensorPool]

As compute becomes increasingly orchestrated by agents, TensorPool is maintaining TensorBook to help agents share what they learn.
https://t.co/oYWX0TsLTQ

[TensorPool @TensorPool]

As research agents become increasingly capable at training machine learning models, they need a way to avoid repeating the same expensive mistakes.

TensorBook is shared research memory for agents.

What MoltBook is to Reddit, TensorBook is to Stack Overflow.

[TensorPool @TensorPool]

TensorPool now offers globally distributed Object Storage.

This means that no matter where your GPUs are, your data lives right next door.

[TensorPool @TensorPool]

Hi all! We’ve shipped container support and an updated version of our Jobs product!

Container Support: Users can now select from base images to be deployed on their clusters

Jobs: You can now submit a job directly to an existing cluster

Let us know what you think :D

[Tycho Svoboda @TychoSvoboda]

Pretty proud of this cracked Jupyter NB for ML we've been working on!

It solves the reproducibility issues, flaky kernels, and inability to scale experiments that you see with traditional notebook paradigms.

Check out this demo!
https://t.co/vHlJE0kAc2

[TensorPool @TensorPool]

@AcceleratedCS @rrhoover we gotchu!

[Tycho Svoboda @TychoSvoboda]

vibe training is here!!!

watch me easily fine-tune glm-4 using CC & TensorPool.

SKILL.md used: https://t.co/faKjLyq4Vd
Model fine-tuned: https://t.co/EElPNyabp4

https://t.co/0JNUtBrf93

[Joshua Martinez @joshkmartinez]

@TensorPool Takeover

[LAION @laion_ai]

After launching SongRater — our open platform for music perception data 💙 — we’re excited to share a big update: Tensorpool is sponsoring $20 for everyone who annotates at least 2 songs!
Open music AI needs open data. You can help → https://t.co/TGVxgUrqkV

[TensorPool @TensorPool]

RT @TychoSvoboda: It’s always amazing to see small teams outperform companies with $100M+ in funding, and even more amazing when you get to…

[TensorPool @TensorPool]

B300s have entered the pool at https://t.co/8xFylvI2Do!

Starting at $5.49/hr.

[Tycho Svoboda @TychoSvoboda]

At TensorPool, we've worked with world-class research teams and startups training foundation models. We've noticed they all face the same three challenges:
1) Underutilization and idle time is inevitable and expensive
2) Researchers see model training as a set of experiments
3) Model developers are stuck on statically sized clusters
We built TensorPool Jobs to fix this.

https://t.co/yKeO3REGfk

[TensorPool @TensorPool]

More and more people are choosing B200s over H100s. We did the math on why.

Read here: https://t.co/S651jCeOpr

[TensorPool @TensorPool]

For multi-node training jobs, storage speeds often become the bottleneck. Read how TensorPool solves that.

https://t.co/FdvWc3JAc0

[TensorPool @TensorPool]

AMD Instinct MI300x have entered the pool on https://t.co/8xFylvI2Do! Starting at $2.49/hr.

#AMD #MI300x