Reducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading - NVIDIA Developer

developer.nvidia.com 2026-07-11 NVIDIA Developer

Entities

Companies:NVIDIA

Technologies:3nm EUV JAX XLA NVLink-C2C LHS MoE HBM GPU memory activation rematerialization

Tags

Large Language Model GPU Memory High-Bandwidth Memory Host Offloading JAX Framework NVIDIA Blackwell XLA Compiler Activation Rematerialization MoE Model Batch Size Optimization

News Summary

This article explores how host offloading techniques can alleviate high-bandwidth memory (HBM) bottlenecks in large language model (LLM) training using the JAX framework. As model size, sequence lengt... Read original →

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