A shift in the way artificial intelligence data centers work is bringing an unexpected technology back into a leading role.

Data storage and data processing have always been separate functions, but what if they could be unified and achieve much better performance? That’s the promise of computational storage. Although media ...

As AI workloads become more demanding, specialised chips are taking centre stage. Here's how different processors work and where they fit in ...

Graphics processing units have become much more prominent in recent years because of their ability to perform the complex calculations on large data sets that underpin modern artificial intelligence ...

Arm Holdings plc today debuted a new central processing unit, the AGI CPU, that’s optimized to power artificial intelligence clusters. The company says the chip provides more than twice as much ...

In today’s increasingly AI-assisted, software-defined IT world, it’s understandable how federal enterprise leaders might overlook some of the revolutionary developments reshaping the hardware ...

Nvidia is going after a lucrative market that's currently dominated by AMD and Intel.

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can be ...

HPE (NYSE: HPE) today announced the expansion of its industry-leading server portfolio with the introduction of the HPE ProLiant Compute DL394 Gen12, powered by NVIDIA Vera CPU. This next-generation ...

Existing processors in PCs, smartphones and other devices can be supercharged for enormous power and efficiency gains using a new parallel processing software framework designed to eliminate ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...