# NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory

DevFeed: [NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory](<https://devfeed.tech/articles/nvidia-nvlink-fusion-expands-with-nvhbm-custom-high-bandwidth-memory-6957.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/nvlink-fusion-nvhbm-custom-high-bandwidth-memory/>)

Author: Jesse Clayton

Published: 2026-08-26T21:05:30Z

Content type: news

Language: en

Sources: [NVIDIA Blog](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [NVLink](<https://devfeed.tech/topics/nvlink.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [amazon](<https://devfeed.tech/topics/amazon.md>)

Tags: [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [amazon](<https://devfeed.tech/tags/amazon.md>), [aws](<https://devfeed.tech/tags/aws.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [performance](<https://devfeed.tech/tags/performance.md>), [xpu](<https://devfeed.tech/tags/xpu.md>)

## AI overview

NVIDIA expands NVLink Fusion with NVHBM, a high-bandwidth memory technology for custom AI infrastructure. By moving the memory controller into the HBM base die, NVHBM is designed to provide up to 30% greater memory bandwidth, 15% lower HBM power consumption, and up to 25% more XPU compute-die area than standard HBM4E. Amazon's Annapurna Labs will be the first memory partner to work with NVIDIA on the technology, alongside collaboration on NVLink scale-up architecture for future AWS Trainium systems.

## Source excerpt

The next wave of AI is placing new demands on infrastructure. As AI agents and trillion-parameter workloads become mainstream, the performance of AI infrastructure depends not only on compute, but on how compute, memory, storage, networking and software are designed together as a unified system. To help hyperscalers and AI innovators build the next generation [...]