How Nvidia's Vera Rubin platform deploys asset specificity, software lock-in, and two decades of developer infrastructure to build a structural compet.

Jensen Huang has unveiled new CPU and Groq-powered AI system as Nvidia targets $1-trillion revenue opportunity.

The company’s newly announced Groq 3 LPX racks, which pack 256 LP30 language processing units (LPUs) into a single system, show time-to-market was the reason Nvidia bought rather than built. We're ...

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

It looks like chipmaker Nvidia may be looking to get more aggressive with its investment in artificial intelligence ...

Unlike Nvidia's earlier Grace processors, which were primarily sold as companions to GPUs, Vera is positioned as a ...

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

Dare we hope that those Olympus cores turn up in a future PC chip?

Indian IT stocks, including Infosys, Wipro and Coforge, plunged up to 6% due to concerns over AI disruption and anticipation ...

You would be very hard pressed to find any sort of CPU or microcontroller in a commercial product that uses anything but binary to do its work. And yet, other options exist! Ternary computing ...

Nvidia announced Monday at GTC 2026 that its new Groq-based inference server rack will be available alongside the Vera Rubin ...

Nvidia said the revenue opportunity for its ​artificial intelligence chips may reach at least $1 trillion through 2027, as ...