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A 15-year-long roller coaster ride of appeals and counter-appeals over the European Commission’s antitrust ruling has ended in victory for the company.
India’s cloud providers and server manufacturers plan to boost Nvidia GPU deployment nearly tenfold by the year’s end compared to 18 months ago.
The company says the computing broker is aimed at solving the GPU shortage for compute-intensive workloads by improving resource allocation and memory management across AI platforms and applications.
The two competitors have become allies in a bid to stave off Arm.
Jointly designed architecture is intended for GPU-loaded AI factories, which will generate tremendous amounts of heat.
In addition to the rack architecture contributions, Nvidia is broadening its Spectrum-X networking support for OCP standards.
New Epyc chip to offer scale-up performance or scale-out capacity for a wide range of data center workloads.
However, the chipmaker’s dramatic claim for the performance gains of its GPUs is over a 10-year span, and only applies to one type of calculation.
The announcement follows IBM’s recent partnership with Intel, signaling a rising interest in Intel’s AI hardware.
IBM Cloud users can now access Nvidia H100 Tensor Core GPU instances for AI and high-performance computing workloads.