---
title: "NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory"
slug: "nvidia-erweitert-nvlink-fusion-um-custom-memory-nvhbm"
date: 2026-08-26
category: releases
tags: [agents, nvidia]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/nvidia-erweitert-nvlink-fusion-um-custom-memory-nvhbm
---

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

**Published**: 2026-08-26 | **Category**: releases | **Sources**: 1

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## TL;DR

The next wave of AI is placing new demands on infrastructure.

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## Summary

The next wave of AI is placing new demands on infrastructure. As AI agents and trillion-parameter workloads become mainstream, performance depends not only on compute but on how compute, memory, storage, networking and software are designed together as one system. Nvidia is extending NVLink Fusion with NVHBM, a custom high-bandwidth memory option, so hyperscalers and AI builders can tailor the next generation of their systems.

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## Why it matters

The next wave of AI is placing new demands on infrastructure.

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## Key Points

- The next wave of AI is placing new demands on infrastructure.
- As AI agents and trillion-parameter workloads become mainstream, performance depends not only on compute but on how compute, memory, storage, networking and software are designed together as one system.
- Nvidia is extending NVLink Fusion with NVHBM, a custom high-bandwidth memory option, so hyperscalers and AI builders can tailor the next generation of their systems.

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## Nauti's Take

The upside for anyone running large models is concrete: when memory is tuned to the workload instead of bought off the shelf, the bottleneck moves away from raw bandwidth. The risk is lock-in, because the deeper custom memory sits inside NVLink Fusion, the more expensive a platform switch becomes. Below hyperscaler scale this stays a footnote with a delayed effect, since designs like this help decide what inference costs per token two years from now.

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## FAQ

**Q:** What is NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory about?

**A:** The next wave of AI is placing new demands on infrastructure.

**Q:** Why does it matter?

**A:** The next wave of AI is placing new demands on infrastructure.

**Q:** What are the key takeaways?

**A:** The next wave of AI is placing new demands on infrastructure.. As AI agents and trillion-parameter workloads become mainstream, performance depends not only on compute but on how compute, memory, storage, networking and software are designed together as one system.. Nvidia is extending NVLink Fusion with NVHBM, a custom high-bandwidth memory option, so hyperscalers and AI builders can tailor the next generation of their systems.

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## Related Topics

- [agents](https://news.ainauten.com/en/tag/agents)
- [nvidia](https://news.ainauten.com/en/tag/nvidia)

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## Sources

- [NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory](https://blogs.nvidia.com/blog/nvlink-fusion-nvhbm-custom-high-bandwidth-memory/) - NVIDIA

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-08-27*