The DGX Spark demonstrates Nvidia’s vertical integration across silicon design, system architecture and software platforms.

Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. In December 2011, Jensen Huang arrived onstage at a developer’s conference in Beijing armed with an ...

(Full disclosure: Intel invited me to its chipset fab in Phoenix, Ariz. Travel and lodging were paid by Intel, but Gizmodo did not guarantee any coverage as a condition of accepting the trip.) ...

What we know so far: Chinese tech firm Innosilicon Technology has unveiled the Fenghua No. 3 graphics card, a homegrown GPU built entirely on a new architecture. The launch marks a major step forward ...

Demand for AI chips is booming—and so is the need for software to run them. Chris Lattner’s startup Modular just raised $250 million to build the best developer tools for AI hardware.

Along with the dataset, Encord has created a new methodology for training multimodal AI models. It’s called EBind, and the ...

Get the most powerful cloud computing resources at a fraction of the cost of high-performance hardware with Liquid Web’s ...

AMD launched the latest version of its ROCm AI software stack last week, putting it in a better position to compete with Nvidia for AI hardware customers. Although the performance of AI chips is a key ...

Quantum computing is expected to add trillions in economic value over the coming decades as the technology becomes commercialized. Nvidia's hardware and software stack is well positioned to power the ...

A tensor processing unit (TPU)—sometimes referred to as a TensorFlow processing unit—is a special-purpose accelerator for machine learning. It is processing IC designed by Google to handled neural ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...