As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...

NVIDIA no longer wins AI by selling fast chips alone. Its edge now comes from a proprietary stack that wraps the GPU in software, systems ...

GPUzilla's $20B acquihire paves to way to AI agents that halucinate faster than ever GTC Nvidia will use Groq's language processing units (LPUs), a technology it paid $20 billion for, to boost the ...

Whether you're running one of the best graphics cards made by Nvidia or any entry-level model from several years ago, it'll be backed with CUDA cores. Not to be confused with Tensor Cores (AI cores), ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

In Nvidia’s decade and a half push to make GPU acceleration core to all kinds of high performance computing, a key component has been the CUDA parallel computing platform that made it easier for ...

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Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...