In the news

Announcing Day-0 Support for NVIDIA Nemotron 3.5 Lightning on vLLM

vLLM · NVIDIA Nemotron Team and vLLM Team · Published August 10, 2026 · 3 min read

In 30 seconds

What happened: NVIDIA Nemotron 3.5 Lightning, a 30B parameter mixture-of-experts model optimized for agent tasks, now has day-zero support in vLLM serving framework.
Why it matters: Matters for engineers deploying agentic systems that need fast execution of frequent, well-scoped steps without sacrificing reasoning or tool-use capability.
Watch out: Model uses only 3B active parameters per token despite 30B total size; performance gains depend heavily on choosing appropriate speculative decoding method for your hardware.

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In the news

vLLM · NVIDIA Nemotron Team and vLLM Team · Published August 10, 2026 · 3 min read

What happened: NVIDIA Nemotron 3.5 Lightning, a 30B parameter mixture-of-experts model optimized for agent tasks, now has day-zero support in vLLM serving framework.
Why it matters: Matters for engineers deploying agentic systems that need fast execution of frequent, well-scoped steps without sacrificing reasoning or tool-use capability.
Watch out: Model uses only 3B active parameters per token despite 30B total size; performance gains depend heavily on choosing appropriate speculative decoding method for your hardware.

The same event, reported by other publishers we follow.

Each one covers how the technique works, when it earns its cost, and where it breaks.

One pattern, one tradeoff, one production failure story. A short weekly briefing for people building agentic systems.

Weekly email, one-click unsubscribe. We only use your address to send the briefing.