AI data centers dominated PowerGen, revealing how inference-driven demand, grid limits, and self-built power are reshaping ...

LLM quietly powers faster, cheaper AI inference across major platforms — and now its creators have launched an $800 million ...

Local AI concurrency perfromace testing at scale across Mac Studio M3 Ultra, NVIDIA DGX Spark, and other AI hardware that handles load ...

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...

Quadric aims to help companies and governments build programmable on-device AI chips that can run fast-changing models ...

Nebius (NBIS) is a top 2026 AI stock pick—scalable GPU infrastructure poised to win as SaaS commoditizes. See growth, margin ...

SGLang, which originated as an open source research project at Ion Stoica’s UC Berkeley lab, has raised capital from Accel.

Some Chinese AI developers said China’s push to catch up with the U.S. in AI is being slowed by a bottleneck in access to ...

Cloudflare’s NET AI inference strategy has been different from hyperscalers, as instead of renting server capacity and aiming to earn multiples on hardware costs that hyperscalers do, Cloudflare ...

Conceptual illustration of a researcher using the DUT CMB Scientific Engine 3.0 to interpret deep-universe data through transparent, mission-grade cosmological inference. Open, mission-grade software ...

A proposal to revise an E.U. law requiring carmakers to stop producing combustion engines by 2035 would offer some relief to automakers, but it sets back the region’s climate goals. By Patricia Cohen ...