To date, AI has mostly relied on large cloud providers and centralized compute. Ian shares a chart showing something ...

As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...

More flexible systems naturally expose a wider range of configurations and performance profiles. For AI-native developers, ...

MU outpaces NVDA as AI demand surges, with faster EPS growth, sold-out HBM supply and a far lower valuation premium.

Sameeksha Gupta, an expert in computing systems, proposes a fresh perspective on an overlooked issue in AI infrastructure: GPU reliability in large-scale AI clusters. With a career grounded in ...

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...

Next gen GPU development is no longer about raw horsepower alone. Chipmakers are redesigning architectures around efficiency, smarter power delivery, and AI-first workloads. As silicon scaling slows, ...

Most modern flagship phones, tablets, and laptops with ARM-based processors have neural processing units (NPUs) that enable hardware-accelerated AI features. But most of those NPUs are designed by ...

TL;DR: The Intel Arc Pro B50 GPU, based on Battlemage architecture, offers a powerful, affordable workstation solution with 16GB GDDR6 memory, DisplayPort 2.1, and hardware AV1 decoding. It ...