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NVIDIA AI

@NVIDIAAI

Introducing NVIDIA Nemotron 3.5 Lightning⚡

An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster.

It delivers up to 4x the output speed of similar-sized models.
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1:00 PM UTC · Aug 11, 20265.1K likes271 replies
NVIDIA AI

@NVIDIAAI

Lightning pairs strong accuracy with speed.

On PinchBench, it reaches 86% accuracy while completing 10,000 tasks 35% faster than Qwen3.6 35B at similar accuracy.
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1:01 PM UTC · Aug 11, 2026295 likes4 replies
NVIDIA AI

@NVIDIAAI

Lightning is built to specialize.

Post-train Nemotron 3.5 Lightning with NVIDIA NeMo for your domain data, tools, workflows and policies.

Across cybersecurity, coding, legal and energy tasks, post-training improves accuracy for specialized work.
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1:01 PM UTC · Aug 11, 2026257 likes5 replies
NVIDIA AI

@NVIDIAAI

Long-running agents spend most of their time executing: calling tools, validating results and delegating work.

Nemotron 3.5 Lightning is built for this high-volume execution, at a size that can run anywhere from an NVIDIA DGX Spark to the data center.

See it running agentic workflows on DGX Spark and read the technical breakdown: nvda.ws/4heK23m
1:37 PM UTC · Aug 11, 2026160 likes5 replies
NVIDIA AI

@NVIDIAAI

Not every step in an agent workflow needs the same model.

That’s why we’re also releasing NVIDIA NeMo Switchyard, a new open source library for model routing.

Use frontier models for complex reasoning and planning, and Lightning for high-volume, specialized execution.

Learn more: nvda.ws/457eK7l
1:44 PM UTC · Aug 11, 2026138 likes4 replies
NVIDIA AI

@NVIDIAAI

And it ships with its data.

Alongside Lightning, we’re releasing Nemotron-RL-Agentic-Terminal-Pivot, the open agentic RL dataset used to post-train its coding agent capabilities.

Dataset on @huggingface 🤗→ huggingface.co/datasets/nvidi…

huggingface.co

nvidia/Nemotron-RL-Agentic-Terminal-Pivot-v1 · Datasets at Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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