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 ...

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 ...

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 ...

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

Nvidia's Vera CPU is built to run AI systems that can execute tasks at scale, enabling faster, more autonomous software ...

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

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 ...

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 launches high-performance, energy-efficient NVIDIA Vera CPUs to drive diverse workloads across industries, including agentic AI, reinforcement learning and data processing.Vera serves ...

The data processing unit, or DPU, is a new class of programmable processor that enables servers to more efficiently move data, freeing up valuable CPU cycles and allowing services to be statefully ...

There are central processing units (CPUs), graphics processing units (GPUs) and even data processing units (DPUs) – all of which are well-known and commonplace now. GPUs in particular have seen a ...

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 ...