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 ...

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.

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

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 ...

Korean chip startup XCENA raised $135M at a $570M valuation to solve the AI memory bottleneck. Learn how their CXL-based MX1 chip changes AI infrastructure in 2026.

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 ...

If you've ever watched your games or rendering processes struggle to run out of nowhere, despite Task Manager telling you your GPU is well below max capacity, you've been lied to. Windows Task Manager ...

Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. Ripple effect: It seems fears that the global memory shortage and resulting high prices could impact ...