RTX 500 GPU (Image = NVIDIA)
NVIDIA has launched a dedicated AI graphics processing unit (GPU) on a device to process artificial intelligence (AI) locally on laptops.
Venture Beat reported on the 26th (local time) that NVIDIA launched ‘RTX 500’ and ‘1000 Ada GPU’ for on-device AI processing for laptops at ‘MWC 2024’ held in Barcelona. Both models are specialized accelerators designed for productive AI tasks, image rendering and processing on portable devices.
The RTX 500 and 1000 Ada GPUs released today are an extension of the existing line based on the Ada Lovelace architecture, including the RTX 2000, 3000, 3500, 4000, and 5000 Ada GPUs.
“Productive and hybrid AI work environments are becoming the new industry standard, driving the need for more powerful laptops that can run applications locally,” explained NVIDIA.
The RTX 500 and 1000 Ada GPUs feature a neural processing unit (NPU) integrated within the CPU and an RTX GPU based on Tensor cores for local AI processing. NPU offloads light AI tasks to the CPU and helps the GPU process more complex tasks with a performance of 682 trillion operations per second.
Nvidia said its new GPU is aimed at light and thin laptops. The RTX 500 has 4GB of dedicated memory, and the RTX 1000 has 6GB of dedicated memory.
The new RTX 500 GPU provides up to 14x better productive AI performance on image creation models such as ‘Stable Diffusion’, up to 3x faster photo editing and up to 10x 3D rendering graphics performance compared to CPUs alone.
In addition, he explained that video editors can achieve significant efficiency in tasks such as removing background noise through AI, and graphic designers can increase the resolution of images through AI upgrades.
Windows laptops equipped with the new NVIDIA RTX 500 and 1000 Ada GPUs are expected to be released starting this spring through global manufacturing partners such as Dell, HP, and Lenovo.
Reporter Park Chan cpark@aitimes.com
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