Samsung’s Exynos 2600 posts strong Vulkan and OpenCL benchmark scores, coming surprisingly close to Qualcomm’s Snapdragon 8 ...

If you want to test out an idea in HPC simulation and modeling and see how it affects a broad array of scientific ...

As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.

This decision represents far more than a new product launch; it is the culmination of Nvidia's push to become a one-stop silicon provider for AI and ...

The launch of the Zhenwu 810E marks the latest initiative by China’s Big Tech firms to develop a domestic alternative to Nvidia’s AI chips.

Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

The Rubin GPU boasts five times more AI training compute power than Blackwell. The Rubin GPU boasts five times more AI training compute power than Blackwell. is a news writer covering all things ...

Alphabet has a lot to gain by developing its quantum technology in-house. The tech giant is already seeing real-world applications for its technology. There's one quantum computing business that ...

At long last, Intel may be ready to reveal a new GPU as it seeks to compete with AMD and Nvidia in the gaming card space. What seems to be an Intel GitHub repository includes a reference to "b770," as ...

Abstract: This article consists of a collection of slides from the author's conference presentation on NVIDIA's CUDA programming model (parallel computing platform and application programming ...