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ExternalAI
NVIDIA Technical Blog

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

Pre-training frontier LLMs comes down to throughput. When training spans trillions of tokens across thousands of accelerators, every percentage point of step... 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 ha

NVIDIA Technical BlogRead original
ExternalSoftware Engineering
DZone

Stop Choosing Sides: An Engineering Leader's Framework for Build, Buy, and Hybrid AI Agents in 2026

"2025 was meant to be the year agents transformed the enterprise, but the hype turned out to be mostly premature. It wasn't a failure of effort. It was a failure of approach." — Kate Jensen, Head of Americas, Anthropic, TechCrunch, February 2026 Jensen's diagnosis is precise, and it matters that she made it in February 2026 — twelve months after the agent deployment wave crested. The teams that struggled in 2025 weren't short on ambition or resources. They were short on a coherent architectu

DZoneRead original

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