NVIDIA Expands NVLink Fusion with Next-Generation NVHBM High-Bandwidth Memory Technology
- Published
- Source
- NvidiaNews
NVIDIA has expanded its NVLink Fusion technology by introducing NVIDIA NVHBM, a next-generation high-bandwidth memory designed to enhance AI infrastructure. This innovation aims to meet the increasing demands of AI agents and trillion-parameter workloads by integrating memory performance with compute, storage, and networking in a unified system.
The introduction of NVHBM is significant as it offers up to 30% greater memory bandwidth and 15% lower power consumption compared to traditional HBM architectures. By integrating the memory controller into the HBM base die, NVIDIA frees up to 25% more area on the XPU compute die, allowing for more efficient designs. This development is expected to accelerate the deployment of custom AI chips in collaboration with leading memory partners.
Amazon's Annapurna Labs will be the first to implement NVHBM technology, enhancing performance for AI workloads with its next-generation Trainium chips. This collaboration signifies a strategic partnership that aims to optimize AWS infrastructure designs. No further timeline was disclosed at the time of publication.
Original report
NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory
NvidiaNews · NVIDIAThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
-
2
RobotToday Weekly October 5 – 9, 2026 RobotToday · 1 day ago
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
NVIDIA Robotics
United States
NVIDIA robotics division delivering Isaac simulation and training tools, Jetson edge compute modules, and Omniverse digital twin frameworks for physical AI.
Deci AI (Acquired by NVIDIA)
Israel
Israeli deep learning optimization startup acquired by NVIDIA in May 2024 for ~$300M; known for AutoNAC neural architecture search technology.
Amazon Robotics
United States
Amazon's robotics division, formerly Kiva Systems (founded 2003, acquired 2012), in North Reading, MA, developing AMRs and automation for Amazon fulfilment.
AMAZONEN-WERKE H. DREYER SE & Co. KG
Germany
Family-owned German farm machinery maker since 1883 whose Venterra inter-row hoes use a camera-controlled shift frame and RowSpray band spraying.
Nscale
United Kingdom
London-based Nscale runs a full-stack AI/GPU cloud platform and on Aug 1, 2026 agreed to acquire Anyscale for $1.65 billion.
ZML
France
Paris-based open-source project shipping a hardware-agnostic AI inference compiler stack that runs models on NVIDIA, AMD, TPU, and Trainium chips.
Decart
Israel
Israel-based AI lab founded 2023 by Dean Leitersdorf and Moshe Shalev; builds the Oasis world model and Lucy real-time video generation model for physical AI.
Cervoz Technology Co., Ltd.
Taiwan
Taiwanese supplier of industrial-grade SSDs, DRAM modules, and embedded peripherals engineered for AMR/AGV, machine vision, and edge robotics applications.
ChangXin Memory Technologies 长鑫存储技术有限公司
China
Hefei DRAM chipmaker founded 2016, listed on Shanghai's STAR Market (688825); the largest integrated DRAM manufacturer in mainland China.
Fireworks AI
United States
Redwood City AI infra startup (2022) serving open-source LLMs like Kimi K3 via API, used by Cursor, Vercel and Notion.
Kinetix AI 超维动力
China
Shenzhen embodied-AI startup building ultra-human-like humanoid robots powered by a physical world model for whole-body control.
SK hynix Inc.
Korea, Republic of (South)
Icheon, South Korea memory chipmaker (KRX: 000660), majority owned by SK Group; a top HBM supplier for AI accelerator platforms.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
