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Per-Tensor and Per-Block Scaling Strategies for Effective FP8 Training

Decorative image.In this blog post, we’ll break down the main FP8 scaling strategies—per-tensor scaling, delayed and current scaling, and per-block scaling (including the…Decorative image.

In this blog post, we’ll break down the main FP8 scaling strategies—per-tensor scaling, delayed and current scaling, and per-block scaling (including the Blackwell-backed MXFP8 format)—and explain why each is essential for maintaining numerical stability and accuracy during low-precision training. Understanding these approaches will help with choosing the right recipe for your own FP8 workflows.

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How to Build Custom AI Agents with NVIDIA NeMo Agent Toolkit Open Source Library

AI agents are revolutionizing the digital workforce by transforming business operations, automating complex tasks, and unlocking new efficiencies. With the…

AI agents are revolutionizing the digital workforce by transforming business operations, automating complex tasks, and unlocking new efficiencies. With the ability to collaborate, these agents can now work together to tackle complex problems and drive even greater impact. The NVIDIA NeMo Agent toolkit is an open source library that simplifies the integration of agents…

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How AI Factories Can Help Relieve Grid Stress

In many parts of the world, including major technology hubs in the U.S., there’s a yearslong wait for AI factories to come online, pending the buildout of new energy infrastructure to power them. Emerald AI, a startup based in Washington, D.C., is developing an AI solution that could enable the next generation of data centers
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Misc

Training and Finetuning Sparse Embedding Models with Sentence Transformers v5