The team received the Test of Time Award for their paper, GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server. The paper addresses the challenges of scaling deep ...

CtrlS says AI is forcing data centres to rethink power, cooling, sovereignty, and compute access as enterprises move toward ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing. Organizations are modernizing AI data center infrastructure with GPU computing, ...

Explore Nebius, the AI cloud built for GPU intensive training, scalable inference, managed ML tools and real world AI ...

Sales of Intel's central processing units and custom AI processors are gaining traction as AI inference workloads grow.

The deal will significantly expand US optical fibre manufacturing capacity, strengthen domestic supply chains and accelerate ...

Here's how distributed compute, latency, cost and resilience are reshaping infrastructure strategy for business leaders.

In-chip monitoring restores trust through predictive maintenance that can identify and correct errors in real time.

New funding reflects VAST’s rare combination of growth and profitability, driven by its central role in powering AI ...

Artificial intelligence disputes are rapidly moving beyond copyright and into trade secrets. As companies race to develop and deploy advanced ...

The free and open source Linux kernel has seen three serious local privilege escalation (LPE) vulnerabilities in recent weeks ...