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

Cutting corners: Faced with rising memory costs, Meta says it is reusing old DDR4 RAM in its servers rather than buying new hardware. The company revealed this week that it is repurposing DDR4 memory ...

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 ...

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

PC hardware is in dire straits, but getting better game performance (or a more pleasurable-to-use rig) doesn't mean ...

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 ...