Google DeepMind unveiled a way to train advanced AI models across distributed data centers. Known as decoupled distributed low-communication (DiLoCo), the architecture isolates local disruptions such ...

Concerns about how personal data is used in AI development and training are escalating, along with ever-increasing associated ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations prepare, manage, and move their data. AI-ready data platforms, vector databases ...

Booz Allen and Future Tech leaders share how using hybrid design, edge AI and GPUs can accelerate secure federal AI deployment.

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...

Most infrastructure decisions look fine on paper until real AI workloads begin running at scale. Then performance issues ...

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Dave McCarthy, Research Vice President for Cloud and Infrastructure Services at IDC, joins SDxCentral’s Kat Sullivan to discuss how the AI cloud stack is evolving as companies move from model training ...

Training a frontier AI model means keeping thousands of GPUs synchronized for weeks on end. When a single network link fails, the entire job can crash, wiping out days of compute that cost millions of ...

Data centers may be coming to your neighborhood as side installations associated with new homes—and in exchange would offer ...