Just before , it unveiled its latest GPUs for laptops and, what a surprise, they’re designed to heavily aid AI processing. The RTX 500 and 1000 Ada Generation graphics cards are primarily for thin and light laptops. While they won’t offer as much TOPS AI performance as current higher-end mobile GPUs, they can be a convenient option for AI processing on the go for researchers, content creators, and video editors. It’s worth noting that these are workstation GPUs, not gaming GPUs.
GPUs that are based on the Ada Lovelace architecture offer up to twice the ray tracing performance of previous generation GPUs (they use third generation ray tracing cores). Meanwhile, fourth-generation tensor cores deliver up to twice the performance of previous GPUs, according to NVIDIA. The company says this helps “accelerate deep learning training, inference and AI-based creative workloads.”
The RTX 500 has 4 GB of dedicated memory, while the RTX 1000 has 6 GB. NVIDIA says they deliver up to 154 and 193 TOPS of AI performance respectively. Compared to an AI-only CPU configuration, the RTX 500 is predicted to deliver up to three times faster AI-powered photo editing, up to 10x higher graphics performance for 3D rendering, and up to 14x higher generative AI performance for different models.
The GPUs also support , the company’s scaling technology. In addition, an eighth generation encoder includes support. NVIDIA says this video codec is “up to 40 percent more efficient than H.264, enabling new capabilities for broadcasting, streaming and video calling.”
If you’re interested in picking up a laptop with an RTX 500 or 1000 GPU, you won’t have to wait long. They will debut this spring in laptops from Dell, HP, Lenovo and MSI.
https://www.engadget.com/nvidias-rtx-500-and-1000-ada-gpus-bring-more-ai-smarts-to-thin-and-light-workstations-161517977.html?src=rss
