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Nvidia plans to roll out RTX-powered ‘Copilot+’ PCs in partnership with Microsoft

At Microsoft Build this week, the company announced plans for a new range of ‘Copilot+' PCs, which are designed with AI computing in mind, complete with the necessary hardware to accelerate AI workloads. Now, Nvidia is joining in, announcing plans to launch RTX-powered Copilot+ PCs this year.
To support the future of AI development on Windows, Nvidia is planning to roll out a range of RTX-powered Copilot+ PCs. With Nvidia's hardware under the hood, these systems will be able to run up to three times faster using Large Language Models with ONNX Runtime or DirectML.

Some other advancements Nvidia has made to improve AI performance includes:

Large Language Models (LLMs) now run up to 3x faster with ONNX Runtime (ORT) and DirectML using the new NVIDIA R555 Game Ready Driver. ORT and DirectML are high-performance tools used to run AI models locally on Windows PCs.
PyTorch will support DirectML execution backends, enabling Windows developers to train and infer complex AI models on Windows natively. NVIDIA and Microsoft are collaborating to scale performance on RTX GPUs.
NVIDIA has optimised AI workflows within WebNN — a standard that helps web app developers accelerate deep learning models with on-device AI accelerators, like Tensor Cores — to deliver the powerful performance of RTX GPUs directly within browsers.

Many OEM partners will be making Copilot+-branded PCs in the months ahead, including full desktops, to laptops and other portable systems.
Discuss on our Facebook page, HERE.
KitGuru Says: It became clear last year that AI performance would be a key focus for hardware marketing in the years ahead. This is something that has happened plenty of times in the past. The question is, will the masses begin using AI tools in their day-to-day PC use to make this level of marketing effective outside of the professional market?The post Nvidia plans to roll out RTX-powered ‘Copilot+’ PCs in partnership with Microsoft first appeared on KitGuru.

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