"AI performance"

AMD challenges Nvidia’s AI dominance with Helios, new Instinct GPUs, EPYC processors, ROCm.ai software, and major customer deployment plans.

Nvidia is expanding its AI platform with its Vera CPU, a custom Arm-based server processor featuring its "Olympus" microarchitecture, design...

Chinese open models like GLM-5.2 and DeepSeek-V4 now rival frontier AI at a fraction of the cost, and that could strand the data center bet...

Samsung is sampling HBM4E samples. Kioxia works with HPE on terrestrial and space computing. Peak:AIO and Los Alamos Laboratory break metada...

Companies use AI to track contribution and decide promotions. This experiment found it hears easy names 5x more often. Your name could quiet...

Apple is increasing the battery capacity of the iPhone 18 Pro and iPhone 18 Pro Max, but users should not expect more endurance. Instead, it...

PC makers should focus on outmaneuvering direct competitors, prioritizing build quality and design aesthetics over chasing the absolute lowe...

The AI is the engine. The data is the fuel. The quality of that fuel and the governance of the engine determine whether it runs or stalls mi...

Taylor Swift's Fearless era meets enterprise AI: Okta data from 20,000+ orgs delivers 15 fearless findings and 4 moves every business leader...

What the user has been doing in the session, not just what they're looking at, is a separate context layer that most teams haven't scoped ye...

The room sat in Southeast Asia. The pattern does not.

When data cannot move quickly and reliably, insights arrive more slowly and AI systems become harder to scale.