NVIDIA says hosted RL raised Nemotron 3 Nano from 22% to 91% for under $5
NVIDIAAI · x · 2026-07-24
NVIDIA says a hosted RL run took Nemotron 3 Nano from 22% to 91% accuracy on a math task for under $5.
Using Prime Intellect Lab, the workflow runs on hosted infrastructure: check a baseline, train until the reward improves, then retest to verify the model really learned. The result is a downloadable LoRA adapter.
NVIDIA also 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
- Lisa Su says AMD Helios is in full production and claims the fastest AI rack — karlfreund · 2026-07-24
- AMD says Helios brings 15% more compute and 50% more HBM4 bandwidth — BenBajarin · 2026-07-24
- Lisa Su says AMD’s new AI accelerator has 320B transistors and 432GB of memory — BenBajarin · 2026-07-24
- AI agents need identity, credit and atomic settlement, not human buttons — LexSokolin · 2026-07-24
- AMD launches Helios, a rack-scale AI system built on MI455X, EPYC Venice and DPUs — ryanshrout · 2026-07-24
- Cerebras CEO says inference speed is reshaping the entire AI chip stack — mattturck · 2026-07-24