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

Shimon Ben-David, CTO, WEKA and Matt Marshall, Founder & CEO, VentureBeat As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...

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

Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...

Enterprises locked in GPU capacity during the AI scramble. Now utilization sits at 5% and the bill is due. Here's what the data says about where the market is heading.

But there’s one spec that has caused some concern among Ars staffers and others with their eyes on the Steam Machine: The GPU comes with just 8GB of dedicated graphics RAM, an amount that is steadily ...

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

Whether you’re a gamer trying to play recent AAA titles at high resolutions and maxed-out settings or an AI enthusiast trying to run models locally, we’ve reached the point where a GPU with 8GB of ...