Your system is hoarding your RAM, reserving it for the iGPU you don't even need.

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

The GPUs powering today's models carry limited high-bandwidth memory (HBM) before external memory is required—that's the memory wall, and at inference scale, every model hits it. As the industry ...

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 ...

Privacy-preserving AI workloads can make expensive GPUs look underused. CIOs should understand the bottleneck before ...

Most infrastructure decisions look fine on paper until real AI workloads begin running at scale. Then performance issues ...

Use left and right arrow keys to seek audio. Meta has been training on its new Llama 3 405B model on a cluster of 16,384 x NVIDIA H100 80GB AI GPUs. Half of the issues during its 54-day training run ...

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 ...

Tensormesh Inc. has hit upon a way to make artificial intelligence inference more efficient by eliminating the need for ...

When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access static ...

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 ...