NVDA's Vera Rubin platform signals a shift to full-stack AI infrastructure, promising higher efficiency, lower costs and stronger dominance in compute markets.

For the past few years, Nvidia has dominated the AI training segment, powering the development of large language models and ...

Azilen partners with Merge to accelerate HRTech and HRIS integrations for SaaS platforms with unified API-driven ...

From the “inference inflection point” to OpenClaw’s rise as an agent operating system, Nvidia’s GTC keynote outlined the ...

At NVIDIA GTC 2026, DeepRoute.ai presented a comprehensive introduction to its 40-billion-parameter Vision-Language-Action (VLA) ...

He honed his climate-responsive designs in some of the planet’s fastest warming regions. Now, the Burkina Faso–raised Kéré is ...

Certification gives NVIDIA customers a verified path to deploy exabyte-scalable object storage with native S3 API ...

As global AI computing platforms continue to evolve toward higher density, increased power demands, and rack-scale ...

Nvidia CEO Jensen Huang sees $1T GPU demand by 2027 as AI inference surges; CUDA ecosystem and cloud partners fuel growth.

A new consulting firm focuses on the systems behind customer experience, helping organizations design CRM architecture, ...

At its GTC conference, Nvidia is expected to share some of its vision for incorporating technology from AI chip startup Groq.

Meta’s new generation of MTIA AI chips highlights how hyperscalers are redesigning the infrastructure stack, from silicon and interconnects to rack density, cooling, and ...