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Nvidia has just made a significant change: you can now run CUDA on RISC‑V processors. Previously, CUDA needed x86 or Arm CPUs ...
By enabling CUDA applications to run on third-party GPUs from AMD, Intel, and others, this effort could dramatically expand ...
Nvidia’s Omniverse, Blackwell chips, and AI factories fuel massive growth, with strong margins and an unmatched ecosystem ...
Although Nvidia GPUs no longer run in Macs, Apple's MLX will soon be running there too. This makes interesting ports possible ...
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Perhaps the biggest contribution is the launch of CUDA-Q, a quantum computing-focused version of Nvidia's software. Nvidia's CUDA software was a primary reason for the success of its GPUs in the AI ...
Unlike CUDA, the ROCm software stack can take advantage of several domains, such as general-purpose GPGPU, high-performance computing (HPC), and heterogeneous computing.
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