Hosted RL lifts Nemotron 3 Nano from 22% to 91% on math for under $5
NVIDIAAI · x · 2026-07-24
A hosted RL workflow reportedly lifted Nemotron 3 Nano from 22% to 91% accuracy on a math task for under $5.
- The loop runs on hosted infrastructure via Prime Intellect Lab.
- The workflow is: check a baseline, train until reward improves, then retest to verify the model actually learned.
- The result is a downloadable LoRA adapter.
- NVIDIA says the same setup can be scaled to Nemotron 3 Super and Ultra by changing one line.
Related event: NVIDIA Boosts Nemotron Model Accuracy to 91% for Under $5(3 posts)→
More from Infra
- 12 KV Cache Reduction Techniques Every AI Engineer Should Understand, Explained — blaizedsouza · 2026-09-11
- The shadow GPU capacity market is formalizing, with Meta selling excess compute to outside buyers — DavidLinthicum · 2026-09-11
- Engram's random reads don't suit SSDs; CPU-memory over NVLink could serve all 72 GPUs — bookwormengr · 2026-09-11
- 80% of the DIY LLM inference hype posters have already quit — it's brutally hard systems work — abhijithneil · 2026-09-11
- Hugging Face's Ultra Scale Playbook: a free book on training LLMs on GPU clusters — mdancho84 · 2026-09-11
- Is inference latency becoming the biggest bottleneck for production AI agents? — Euphoric_Sea632 · 2026-09-11