From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial ...

KAIST’s Upsample Anything tackles the memory problem behind sharper on-device AI vision, restoring high-resolution visual features from compressed image data without forcing smartphones to process ...

Microsoft Research’s Mirage stores 3D scene data directly in diffusion latent space, cutting GPU memory 55x and generation ...

GPU memory (VRAM) is the critical limiting factor that determines which AI models you can run, not GPU performance. Total VRAM requirements are typically 1.2-1.5x the model size due to weights, KV ...

These days, Nvidia primarily sells AI data center products, and its traditional consumer devices feel like more of a side ...

For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity ...

Credo Technology Group is upgraded to Strong Buy, driven by architectural advances addressing AI scaling bottlenecks and ...

GPU hardware was never built for safe multitenant use, fast fault recovery, or clean isolation between workloads. How do we ...

On Monday, Nvidia announced the HGX H200 Tensor Core GPU, which utilizes the Hopper architecture to accelerate AI applications. It’s a follow-up of the H100 GPU, released last year and previously ...