Introducing NVIDIA Nemotron 3.5 Lightning

NVIDIA Nemotron 3.5 Lightning is a 30-billion-parameter mixture-of-experts model with 3 billion active parameters, distilled from Nemotron 3 Ultra and designed for high-volume, always-on agentic applications such as personal assistance, financial services, cybersecurity, telecom, and retail. Available through Baseten Dedicated Inference on NVIDIA infrastructure, it supports a one-million-token context window and is presented as delivering nearly four times the throughput of similar open models while reducing task-completion time by 30% through faster reasoning and token generation. Baseten and CodeRabbit tested the model for high-volume code-review routing, using supervised fine-tuning and reinforcement learning to improve route agreement and reliability. The resulting rank-16 LoRA adapter reportedly achieved about 4% higher accuracy than the baseline, used roughly half the API cost, generated 63.4% fewer output tokens, and reached 314.82 aggregate output tokens per second across eight concurrent requests on an A100 GPU.

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