AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

Why it matters: Nvidia introduced CUDA in 2006 as a proprietary API and software layer that eventually became the key to unlocking the immense parallel computing power of GPUs. CUDA plays a major role ...

NVIDIA has revealed the GB300 Blackwell Ultra, a massive step forward in its AI accelerator lineup. This chip builds on the already powerful GB200 but increases compute resources, memory size, and ...

Nvidia is the undisputed leader in professional GPU applications, and that doesn’t come down solely to making the best graphics cards. A big piece of the puzzle is Nvidia’s CUDA platform, which is the ...

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A startup focused on customizing large language models for enterprises reveals its embrace of AMD’s Instinct MI200 GPUs and ROCm platform as the chip designer mounts its largest offensive yet against ...

Huawei has greenlit a plan to open-source its CANN software toolkit for its Ascend AI GPUs. According to the South China Morning Post, Huawei is making this move in order to better compete against ...

Nvidia's RTX 3090 is an undeniably monstrous gaming PC component, and an RTX 3090 Ti refresh could push the Ampere architecture even further. However, it looks like team green is already preparing to ...

An Nvidia RTX 4080 potential specs update has arrived, and the upcoming GeForce graphics card will seemingly arrive with fewer CUDA cores than previously anticipated. The rest of the RTX 4000 GPU's ...

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