NVIDIA Develops Custom "NVHBM" Memory For AI, Claiming 30% More Bandwidth and 15% Lower Power Than HBM4E

NVIDIA NVLink Fusion and NVHBM Revolutionize AI Accelerators

NVIDIA's NVLink Fusion and NVHBM redefine AI infrastructure with up to 30% higher memory bandwidth and 15% lower power use, targeting next-gen AI factories. (Read More)

NVIDIA NVHBM Memory Promises 30% Higher Bandwidth Than HBM4E

NVIDIA has announced NVHBM, a custom high-bandwidth memory technology built into the HBM base die rather than on the compute die itself. This approach, which NVIDIA plans to use in its future GPUs, is now extended to third-party XPU customers through NVLink Fusion. The main idea behind it is rather simple, since standard HBM puts the memory controller on the compute die, that is consuming silicon that could otherwise be used for compute. NVHBM m…

Nvidia custom 'NVHBM' promises 30% higher bandwidth, 15% lower power than commodity HBM4e — custom base die and PHY will be available to NVLink Fusion partners

Nvidia's NVLink Fusion program gives the company's partners the building blocks necessary to connect custom chips with the NVLink scale-up domain used to join many separate processors into a single coherent system like the Vera Rubin NVL72 rack-scale accelerator. Today, Nvidia is adding a new building block to that toolkit: NVHBM, a custom implementation of the high-bandwidth memory that underpins practically every AI accelerator in use today. G…

NVIDIA Develops Custom "NVHBM" Memory For AI, Claiming 30% More Bandwidth and 15% Lower Power Than HBM4E

NVIDIA has just announced its custom HBM solution called NVHBM, which will be used in future GPUs, offering higher bandwidth & lower power. NVHBM Is A Custom HBM Solution Designed By NVIDIA & Amazon's Annapurna Labs To Speed Up DRAM Capabilities For Future Agentic & Physical AI Workloads The NVIDIA NVHBM DRAM solution is an extension of NVLink Fusion, offering higher memory performance and efficiency to XPUs at a time when memory bandwidth is be…