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Received β€” 8 June 2026 ⏭ NVIDIA Technical Blog

Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell

By: Max Xu
8 June 2026 at 18:18
Decorative image.Pre-training frontier LLMs comes down to throughput. When training spans trillions of tokens across thousands of accelerators, every percentage point of step...Decorative image.

Pre-training frontier LLMs comes down to throughput. When training spans trillions of tokens across thousands of accelerators, every percentage point of step time can add up to days of training and substantial compute costs. Numerical precision is one of the highest-leverage knobs available, but low- bit mixed-precision pretraining is hard to get right. To address this…

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Received β€” 27 May 2026 ⏭ NVIDIA Technical Blog

NVIDIA Blackwell Sets STAC-AI Record for LLM Inference in Finance

27 May 2026 at 20:00
Large language models (LLMs) are revolutionizing the financial trading landscape by enabling sophisticated analysis of vast amounts of unstructured data to...

Large language models (LLMs) are revolutionizing the financial trading landscape by enabling sophisticated analysis of vast amounts of unstructured data to generate actionable trading insights. These advanced AI systems can process financial news, social media sentiment, earnings reports, and market data to predict stock price movements and automate investment strategies with unprecedented…

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