For years, co-founder and chief executive officer Jensen Huang and other higher-ups at Nvidia have been banging on the message that the company is more than its GPUs, that the chips that have become ...

The AI industry has converged on a deceptively simple metric: cost per token. It’s easy to understand, easy to compare, and easy to market. Every new system promises to drive it lower. Charts show ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. KubeCon + CloudNativeCon Europe 2026 in Amsterdam made one thing clear. Kubernetes is no ...

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...

The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads. 2026 is predicted to be the year that ...

Nvidia CEO Jensen Huang debuted a new AI inference system during his GTC conference keynote. The product incorporates technology from Groq, with which Nvidia made a $20 billion deal. The chip can ...

Pascari aiDAPTIV™ technology enables larger-model inference on AI devices with intelligent flash tiering to extend retention and reduce recompute GTC 2026 — Phison Electronics (8299TT), a global ...

New revenue opportunity forecast marks big step-up from $500 billion seen through 2026 Nvidia unveils CPU, AI system based on Groq's technology to for inference computing Nvidia faces increased ...

Each spring, thousands of software engineers gather in San Jose, Calif., to ogle the latest superfast computer processors and take coding workshops at Nvidia’s NVDA0.52%increase; green up pointing ...

Mehdi Hosseini, Susquehanna, joins 'Closing Bell Overtime' to talk the memory storage investing, the state of AI-driven volatility, and more. Got a confidential news tip? We want to hear from you.

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...