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Received β€” 6 July 2026 ⏭ NVIDIA Technical Blog

Enhancing Goodput in Large-Scale LLM Training with Nonuniform Tensor Parallelism

6 July 2026 at 21:44
Deocrative image.Training LLMs at massive scale brings unique infrastructure challenges, especially as jobs span thousands of GPUs and run for extended periods. The longer these...Deocrative image.

Training LLMs at massive scale brings unique infrastructure challenges, especially as jobs span thousands of GPUs and run for extended periods. The longer these jobs run, the greater the likelihood of encountering unscheduled interruptions or resource fluctuations. Even infrequent device unavailability can have outsized effects on tightly interconnected clusters, resulting in slowdowns for a given…

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Received β€” 30 June 2026 ⏭ NVIDIA Technical Blog

Designing GPU-Accelerated Query Engines with NVIDIA GQE

30 June 2026 at 17:36
Decorative image.GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advancesβ€”including high bandwidth memory (HBM), NVIDIA...Decorative image.

GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advancesβ€”including high bandwidth memory (HBM), NVIDIA NVLink-C2C, and dedicated decompression engines featured in NVIDIA GB200 NVL4β€”help remove these bottlenecks by increasing effective storage capacity, accelerating data movement between CPUs and GPUs, and speeding data access without consuming…

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Received β€” 29 June 2026 ⏭ NVIDIA Technical Blog

How to Govern Autonomous Agents in Enterprise AI FactoriesΒ 

29 June 2026 at 15:50
Decorative image.AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on...Decorative image.

AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on behalf of a user. This unlocks productivity, but can also give agents access to sensitive enterprise data and the ability to complete tasks and take action across business systems, making a secure, governed environment essential.

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Received β€” 26 June 2026 ⏭ NVIDIA Technical Blog

Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer

26 June 2026 at 16:00
Decorative image.As context windows grow longer, moving large model weights efficiently becomes critical to performance. A common way to address this is quantization, an...Decorative image.

As context windows grow longer, moving large model weights efficiently becomes critical to performance. A common way to address this is quantization, an optimization technique that compresses model weights into a smaller data format. One quantization format is NVFP4, an innovative 4-bit floating point introduced with NVIDIA Blackwell architecture. That’s the approach behind our new Nemotron 3…

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