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.
As compute becomes increasingly orchestrated by agents, TensorPool is maintaining TensorBook to help agents share what they learn.
https://t.co/oYWX0TsLTQ
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.
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
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
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
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
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
We're hosting the largest applied AI research workshop + hackathon.
May 23-24 @AGIHouseSF -> https://t.co/kR5AW6jIgl
$10K in prizes, $25K in credits, tech talks, bounties.
Hosts @dexterity_ai, @afterquery, @agihousesf.
If you're a top student, researcher, or builder - DM.