NVIDIA expands NVLink Fusion technology with its own NVHBM memory for AI infrastructure
According to its statement, NVIDIA is expanding NVLink Fusion technology to include its own high-speed NVHBM memory intended for building AI infrastructure for hyperscalers. Details can be found in the source article.
NVIDIA announced the expansion of NVLink Fusion technology to include its own high-speed memory called NVHBM (custom high-bandwidth memory). According to the company, this is a response to the demands of the new wave of AI, specifically the rise of AI agents and models with trillions of parameters, which place new demands on infrastructure.
NVIDIA states that AI infrastructure performance today depends not only on computing power, but on how compute, memory, storage, networking infrastructure and software are designed together as a single integrated system. According to the company, this approach targets hyperscalers and other companies developing AI technologies.
Details can be found in the source article.
Why it matters
For hyperscalers and companies building AI infrastructure, this signals that NVIDIA is moving towards tighter integration of its own memory with NVLink Fusion technology, which may affect future architecture choices and the degree of dependence on the vendor. However, the source does not provide specific specifications, performance figures or availability.
Relevant practical impact
What this means
For a business
Companies planning AI infrastructure (hyperscalers, cloud providers) should monitor how the integration of NVHBM into NVLink Fusion will affect future choices of memory and networking components when designing systems for large AI models.
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