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It’s not a real problem for a system like this. The system uses CXL. Their rant is just because they didn’t take the time to do a click down into what the specs are.

The system uses CXL/AMBA CHI specs under NVLink-C2C. This means the memory is linked both to the GPU directly as well as to the CPU.

All of their complaints are pretty unfounded in that case and they would have to rewrite any concerns taking into account those specs.

Check https://www.nvidia.com/en-us/project-digits/ which is where I did my next level dive on this.

EDIT: This is all me assuming they are talking about the bandwidth requirements of allocating all memory as being CPU allocation rather than enabling concepts like LikelyShared vs Unique.

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Nvidia Corporation is an American multinational corporation and technology company. It is a software and fabless company which designs and supplies graphics processing units (GPUs), application programming interfaces (APIs) for data science and high-performance computing, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Nvidia is also a dominant supplier of artificial intelligence (AI) hardware and software.

Nvidia’s professional line of GPUs are used for edge-to-cloud computing and in supercomputers and workstations for applications in such fields as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design. Its GeForce line of GPUs are aimed at the consumer market and are used in applications such as video editing, 3D rendering and PC gaming. The company expanded its presence in the gaming industry with the introduction of the Shield Portable (a handheld game console), Shield Tablet (a gaming tablet) and Shield TV (a digital media player), as well as its cloud gaming service GeForce Now.


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