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NVIDIA Nemotron 3.5 Lightning Turns a Sparse Agent Model into a SageMaker JumpStart Catalog Item What Is AI Agent Security? How Autonomous AI Changes the Attack Surface AI Agent for Cyber Security: What It Does, Where It Fails, and How to Deploy One Safely The Open-Weight LLM Power Map: Who Builds, Funds and Controls the Leading Models Open Source LLM or Just Open Weights? Check the License Before You Deploy Best Open Source LLM by Task: The Test Protocol for Coding, Research, Writing, and Reasoning NVIDIA Nemotron 3.5 Lightning Turns a Sparse Agent Model into a SageMaker JumpStart Catalog Item What Is AI Agent Security? How Autonomous AI Changes the Attack Surface AI Agent for Cyber Security: What It Does, Where It Fails, and How to Deploy One Safely The Open-Weight LLM Power Map: Who Builds, Funds and Controls the Leading Models Open Source LLM or Just Open Weights? Check the License Before You Deploy Best Open Source LLM by Task: The Test Protocol for Coding, Research, Writing, and Reasoning

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Editorial illustration for NVIDIA Nemotron 3.5 Lightning Arrives in Amazon SageMaker JumpStart: What to Verify Before You Deploy
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NVIDIA Nemotron 3.5 Lightning Turns a Sparse Agent Model into a SageMaker JumpStart Catalog Item

A sparse model built for continuous agent traffic is now a deployable listing inside a hyperscaler catalog. AWS says NVIDIA Nemotron 3.5 Lightning — 30 billion total parameters, 3 billion active — delivers up to 4x higher throughput and up to 30% faster task completion for always-on agents. We report what the announcement states, mark what it leaves out, and set out how to test it against your own workloads.

NE NewsForge Editorial Team · 8 min