One of the key trends for Nvidia right now is the growth of CUDA (Compute Unified Device Architecture), Nvidia's programming language for general-purpose GPU computing. In a keynote speech, Huang ...

CPUs can successfully do GPU jobs, but there is one important caveat.

Flow Computing is a pioneer in licensing on-die ultra-high-performance parallel computing solutions to CPU vendors of all architectures. And today the company is emerging from stealth with a funding ...

National Supercomputing Center in Shenzhen has deployed a new supercomputer called LineShine, as China pushes to strengthen ...

In brief: Fujitsu is a Japanese multinational conglomerate that mostly sells personal and enterprise computing products, as well as x86 and mainframe servers. The company is active in the ...

Until the late 1990s, the concept of a 3D accelerator card was something generally associated with high-end workstations. Video games and kin would run happily on the CPU in one’s desktop system, with ...

Forward-looking: New research details a process that allows a CPU, GPU, and AI accelerator to work seamlessly in parallel on separate tasks. The pioneering breakthrough could provide blazing-fast, ...

Early last week at COMPUTEX, Nvidia announced that its new GH200 Grace Hopper “Superchip”—a combination CPU and GPU specifically created for large-scale AI applications—has entered full production. It ...

The GPU server market is poised for strong growth, driven by AI and ML adoption. Key opportunities lie in expanding high-performance computing capabilities, AI-centric investments, and deploying ...