Mobile, Nokia, and Nvidia break down AI RAN into two distinct categories and debate the CPU vs. GPU question at the network ...

The balance of power in high-performance computing is tilting toward tightly fused CPU-GPU designs, and two old rivals are suddenly aligned around that future. Intel and Nvidia are now chasing a mega ...

Nvidia said SpaceX was among the first companies evaluating the Vera CPU. ・SpaceXAI is evaluating Vera for reinforcement learning and simulation workloads for its AI training stack. ・SpaceX is ...

TL;DR: AMD unveiled its next-gen 2nm EPYC "Venice" CPUs with Zen 6 cores and Instinct MI455X AI accelerators in the Helios AI rack, delivering up to 2.9 Exaflops, 31TB HBM4 memory, and advanced liquid ...

The artificial intelligence (AI) infrastructure build-out remains one of the biggest growth drivers the stock market has ever ...

Server CPUs — the processors that were all but written off two years ago — are now the component most likely to delay your organization’s AI deployment, and three earnings reports released since late ...

You've heard of Gorgon Point, which emerged as the Ryzen AI 400 series at the Consumer Electronics Show earlier this month, but what about Gorgon Halo? Rumor has those chips are en route too, though ...

AI workloads leave little room for infrastructure missteps. A general-purpose application server tolerates a wide hardware ...

Jensen Huang still owns the AI stage, Nvidia NASDAQ:NVDA remains the default name in data-center spend, and the company has ...

Nvidia on Monday took the wraps off Vera Rubin, a sweeping new computing platform built from seven chips now in full production — and backed by an extraordinary lineup of customers that includes ...

AI-powered overclocking is changing how performance tuning works by removing guesswork from CPU and GPU optimization. Instead of manual voltage tweaks and repeated stress tests, machine learning ...

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, ...