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nemotron-3.5-lightning

Nemotron-3.5-Lightning is NVIDIA’s high-efficiency Mixture-of-Experts (MoE) model designed specifically for low-latency, high-throughput environments. While the total parameter count sits at 30B, it only utilizes 3B active parameters per token, offering a massive performance leap for developers needing rapid inference without the computational overhead of dense large-scale models. For engineers building agentic workflows, tool-calling loops, or real-time RAG pipelines, this model strikes a pragmatic balance between reasoning depth and execution speed. Unlike general-purpose heavyweights, Lightning is optimized for specialized task execution and high-frequency API calls. It integrates seamlessly into existing NVIDIA-optimized stacks and is particularly effective when you need to scale agentic reasoning across thousands of concurrent sessions where traditional LLMs would become a cost or latency bottleneck.

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01 / MODEL CARD

Model card

Nemotron-3.5-Lightning is NVIDIA’s high-efficiency Mixture-of-Experts (MoE) model designed specifically for low-latency, high-throughput environments. While the total parameter count sits at 30B, it only utilizes 3B active parameters per token, offering a massive performance leap for developers needing rapid inference without the computational overhead of dense large-scale models. For engineers building agentic workflows, tool-calling loops, or real-time RAG pipelines, this model strikes a pragmatic balance between reasoning depth and execution speed. Unlike general-purpose heavyweights, Lightning is optimized for specialized task execution and high-frequency API calls. It integrates seamlessly into existing NVIDIA-optimized stacks and is particularly effective when you need to scale agentic reasoning across thousands of concurrent sessions where traditional LLMs would become a cost or latency bottleneck.

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Providernvidia
LicenseAPI
02 / FILES & VERSIONS

Model files and versions

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Source repositoryhttps://openrouter.ai/nvidia/nemotron-3.5-lightning
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04 / WORKFLOW

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05 / DISCUSSIONS

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