Valve's decision to ship its latest Steam Machine with a single memory module is drawing closer scrutiny as early testing ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Daisy-chaining two of Dell's Nvidia GB10 DGX Spark systems didn't just pump up my home AI lab—it fundamentally changed how I ...

Yes, that simple question is, in the modern Nvidia world that has come to dominate AI training and to a certain extent HPC simulation and modeling, heretical. But given that CPUs are in many cases ...

My 4K videos stuttered in VLC until I turned off one setting.

These new AI-focused SBCs pair multicore processors with integrated NPUs for edge computing, robotics, and embedded ...

The Leica SL3-P boasts an elegant design, fantastic image and video features, and a straightforward control scheme, but its focus tracking and battery life are a letdown for a camera that costs this ...

Neuromorphic computing is a computing approach that mimics how the human brain works. Our gray matter is a marvel of nature, capable of handling huge volumes of data with incredible energy efficiency.

TL;DR: About a decade ago, AMD added Transparent Secure Memory Encryption to its high-end processors to close a gap in hardware security. TSME encrypts everything in RAM, which blunts cold-boot ...

In the first quarter, he bought shares in a trio of hardware companies poised to benefit from the rise of agentic AI. With the proliferation of artificial intelligence (AI) agents, data centers are ...

These days, Nvidia primarily sells AI data center products, and its traditional consumer devices feel like more of a side project. But the company occasionally still releases something designed for ...

Abstract: Domain-specific architecture has greatly improved performance and energy efficiency in in-memory databases, especially for accelerating single-functional computing logic in analytic query ...