NVIDIA Nemotron 3.5 Lightning: a 30B sparse model built for high-frequency agent execution
What happened
Nemotron 3.5 Lightning 是个 30B 参数的混合专家模型，但每次推理只激活大约 3B 参数，所以跑得快、成本低。NVIDIA 把它设计给 Agent 流程里的执行层用：比如选工具、读文件、检查结果这些需要反复调用模型、但单次任务很明确的步骤。它跟 Nemotron 3 Ultra 不是替代关系，Ultra 负责费脑子的规划，Lig...
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NVIDIA positions Nemotron 3.5 Lightning as the execution layer in agent workflows—handling frequent tool calls, file reads, and result checks rather than heavy planning. It's a 30B MoE model that activates only ~3B parameters per token, keeping latency and cost low for high-volume calls. It complements, not replaces, Nemotron 3 Ultra. Weights are open, with tool calling and structured output support. Context goes up to 1M tokens, though OpenRouter's standard tier caps at 262K. Worth a look if your agent makes many model calls per run.