The GeForce RTX 50 Series line of GPUs comes equipped with Tensor Cores designed for AI operations capable of achieving up to ...
Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...
Nvidia Corporation unveils a major CUDA update to counter Triton, boosting GPU programming and solidifying its AI software ...
The tech giant just made a move it hasn’t made in 20 years. Nvidia released one of its biggest updates in nearly 20 years. Key changes make GPUs easier to program, more efficient, and harder for ...
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This is how CUDA made NVIDIA the AI powerhouse
CUDA allowed NVIDIA GPUs to do what CPUs never could—fast, parallel computation for AI and machine learning. Analysts say this breakthrough laid the foundation for modern AI applications. From ...
Nvidia maintains a strong moat in AI hardware despite Google's Gemini 3 Pro TPU advancements, with its CUDA ecosystem and more general-purpose GPUs. The chip maker's robust sales growth, high ...
A small British software startup called Spectral Compute Ltd. believes it has what it takes to break Nvidia Corp.’s stranglehold on artificial intelligence data centers after raising $6 million in ...
Nvidia is quietly positioning itself at the center of quantum computing by linking today’s fastest AI GPUs with early quantum processors through its new NVQLink and CUDA-Q systems. This hybrid ...
If you haven’t heard, Nvidia is investing $5 billion in Intel. According to Nvidia CEO Jensen Huang, this exciting Nvidia-Intel alliance will create “Intel x86 SoCs that integrate Nvidia GPU chiplets, ...
AMD says that the next version of FSR, currently codenamed Redstone, will work on practically any GPU, including those made by competitors such as Nvidia. Unlike FSR 4, which requires the use of AMD's ...
AMD has shoved ROCm 7 onto GitHub, fuelling speculation that this might be the release to finally lead developers out of Nvidia’s CUDA walled garden and into a promised land. For years, Nvidia has ...
The CUDA toolkit is now packaged with Rocky Linux, SUSE Linux, and Ubuntu. This will make life easier for AI developers on these Linux distros. It will also speed up AI development and deployments on ...
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