Enterprises locked in GPU capacity during the AI scramble. Now utilization sits at 5% and the bill is due. Here's what the ...

Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...

Recent insights from practitioners and researchers show that in running AI agents locally, hardware power—while important—is no longer the sole determinant of performance. Workflow integration, ...

AMD’s AI chip sales fall within its data center segment, and it was predictably the best-performing unit, as sales rose 57% ...

AMD's new PCIe AI accelerator uses the CDNA 4 architecture, has 128 CUs, and can be configured to run at 450W for ...

It's not just about graphics processing units (GPUs) and data center build-outs any longer.

Pure-play power infrastructure providers like Applied Digital, Cipher Mining, Core Scientific, Galaxy Digital, and TeraWulf offer superior risk-adjusted returns over neocloud providers in AI ...

Discover why Elon Musk is leasing SpaceX compute capacity to Anthropic and how this surprising deal impacts the broader AI ...

Targeted at agentic AI, Instinct MI350P PCIe cards are dual-slot drop-in cards for standard air-cooled servers. They are ...

The University of Utah, in partnership with Elemental Nuclear Energy Corp., will use its TRIGA research reactor to generate electricity for a high-performance GPU running a live AI workload. The proof ...

Of course, there's a direct play by investing in the tech companies developing AI software and agents, or the hardware ...