Nvidia Digits represents a significant leap forward in AI technology. By combining powerful hardware, a comprehensive ...

Quantum computing stocks have seen quite a run-up in recent months, but determining which companies are leading the charge ...

‘They work really closely with Nvidia’s CUDA stack. They can help optimize AI models for running on Nvidia GPUs, where, in the market today, a lot of AI is running. Really, what they're doing ...

Its GPU technology unlocked the door to AI, and now NVIDIA is capitalizing on it using a full-stack method. The CUDA framework is central to the advances that now include a new platform for robotics, ...

The Register: What does Nvidia's software stack for AI look like in terms of programming languages? Is it still largely CUDA, Python, C, and C++? Are you looking elsewhere for greater speed and ...

Blackwell production has ramped up to 100%; there are plans for capacity expansion, including into the U.S., and the next-gen technology will soon be available. Rubin, the next iteration of NVIDIA’s ...

It’s likely that this chip will also be used in other GPUs further down the Nvidia stack, such as the RTX 5070 ... The RTX 5080 has 10,752 CUDA cores, which is less than half the number of ...

Give it enough time and we'll inevitably see NVIDIA flesh out its recently unveiled GeForce RTX 50 series lineup with more ...

The more critical threat to Nvidia is the attack on the monopoly of CUDA, its proprietary software stack that allows developers to leverage the parallel processing capabilities of Nvidia GPUs to ...

Tae Kim is a senior technology writer at Barron's and author of the new book The Nvidia Way. In this podcast, best-selling author Morgan Housel interviews Kim for a conversation about: The early days ...