
Nvidia releases Nemotron 3.5 Lightning and NeMo Switchyard for agent workloads
The 30B mixture-of-experts model runs 4x faster on output, while the routing library cuts task cost to a third of Opus 4.8.
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The 30B mixture-of-experts model runs 4x faster on output, while the routing library cuts task cost to a third of Opus 4.8.

The new open-weights model runs 4x faster than class rivals and slots into RTX PCs, DGX Spark, and Jetson for always-on agentic workloads.

Harvey, Glean, and Arcee AI have customized Nemotron for legal, search, and inference — hitting frontier accuracy at up to 20x lower cost.

LangChain tuned its Deep Agents harness for Nemotron 3 Ultra, matching top closed models on business tasks without retraining.

The deal puts customizable frontier models inside air-gapped federal environments, with agencies keeping the weights they train.

An open stack of models, tools, skills and a secure runtime aimed at digital coworkers — with Cadence, CrowdStrike, SAP and Siemens already on board.

OpenClaw hit 250,000 GitHub stars in 60 days. NVIDIA is now hardening it for enterprises with NemoClaw, OpenShell and Nemotron models.
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