Nvidia’s new RTX 500 and RTX 1000 Ada Generation laptop GPUs aim for AI on the go

The mobile chips deliver up to 14x the generative AI performance of CPU-only systems, Nvidia says.

Following its launch of the RTX 2000 Ada Generation desktop graphics card earlier this month, chipmaker Nvidia is continuing to expand its graphics processing unit (GPU) portfolio. Today Nvidia announced two new laptop GPUs, the Nvidia RTX 500 and 1000 Ada Generation.

Like the latest desktop card, the new laptop GPUs flesh out the entry-tier of the Ada Generation chips. The Nvidia RTX 500 and 1000 join the RTX 2000, 3000, 3500, 4000 and 5000 laptop GPUs. In a blog post announcing the new processors, Nvidia emphasized their appeal for artificial intelligence (AI) applications.

“The new RTX 500 GPU delivers up to 14x the generative AI performance for models like Stable Diffusion, up to 3x faster photo editing with AI and up to 10x the graphics performance for 3D rendering compared with a CPU-only configuration — bringing massive leaps in productivity for traditional and emerging workflows,” wrote John Della Bona, senior product marketing manager for professional visualization at Nvidia.

Trillions of operations per second (TOPS) performance comparison of Nvidia’s Ada Generation laptop GPUs, including the new RTX 500 and RTX 1000. (Image: Nvidia.)

Trillions of operations per second (TOPS) performance comparison of Nvidia’s Ada Generation laptop GPUs, including the new RTX 500 and RTX 1000. (Image: Nvidia.)

The Nvidia RTX 500 includes 4 GB of video memory (VRAM) and the Nvidia RTX 1000 includes 6 GB. Both GPUs offer the latest features of the Ada Lovelace architecture, including third-generation RT Cores for ray tracing, fourth-generation Tensor Cores for AI, and Ada Generation CUDA Cores for graphics and compute workloads.

Nvidia announced that the RTX 500 and RTX 1000 will be available in mobile workstations this spring from partners including Dell, HP, Lenovo and MSI.

Written by

Michael Alba

Michael is a senior editor at engineering.com. He covers computer hardware, design software, electronics, and more. Michael holds a degree in Engineering Physics from the University of Alberta.