Nvidia CEO Jensen Huang seems to have changed his tune about quantum computing. Speaking at Nvidia’s first GTC Paris event this week, he said, “Quantum computing is reaching an inflection point.” Not ...

Key Benefits of Litespark Faster Training Cycles: The Litespark framework works with NVIDIA accelerated computing to deliver significant advancements in training efficiency and scalability.

Mindbeam Litespark's innovative approach to AI optimization relies on proprietary algorithms that significantly enhance performance on NVIDIA GPU hardware. The framework ensures better resource ...

CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI strategy.

Plus, the DGX Station interoperates with the NVIDIA CUDA-X AI platform for desktop AI development, the NVIDIA NIM microservices, and the NVIDIA AI Enterprise software platform.

Finally, Nvidia said it’s enhancing its NeMo microservices, which provide a framework for developers to build robust and efficient data flywheels.

NVIDIA's Marco framework introduces a groundbreaking approach to chip design, utilizing graph-based tasks and multi-AI agents to streamline processes and improve efficiency.

"Nuts to that," says NVIDIA, who has officially ended support for GPU-accelerated PhysX and CUDA on 32-bit applications with the release of the GeForce RTX 50 series GPUs.

The White House unveiled sweeping new limits on the sale of advanced AI chips by Nvidia Corp. and its peers, leaving the Trump administration to decide how and whether to implement curbs that have ...