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Nvidia Debuts Nemotron 3.5 Lightning and NeMo Switchyard for Local AI Workflows

New lightweight model and orchestration tool aim to make running AI on RTX and DGX hardware more practical.

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By David, AI Engineer · Aug 12, 2026

Nvidia has released Nemotron 3.5 Lightning, a smaller, faster variant of its Nemotron model family designed to run efficiently on consumer RTX GPUs and DGX workstations rather than requiring cloud-scale infrastructure. Alongside it, the company introduced NeMo Switchyard, a routing and orchestration layer that lets developers mix and match different models or model sizes depending on the task, hardware available, and latency needs.

The pairing suggests Nvidia's strategy: make it easier for developers to prototype and deploy AI locally, then scale to larger models only when necessary, all while staying inside Nvidia's own hardware and software stack.

Both tools target developers building AI-powered apps who want more control over cost, latency, and privacy than a pure API-based approach offers.

Why it matters: This is part of Nvidia's broader push to keep developers locked into its ecosystem even as inference moves toward smaller, cheaper models. Local-first routing tools like Switchyard could reduce dependence on cloud AI APIs, but they also deepen reliance on Nvidia-specific tooling rather than open standards.

Sources: Hacker News

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