The company is assembling a multi-architecture stack spanning AWS, Nvidia, AMD, Arm, and its own silicon. In the agentic era, no single chip wins, so it’s betting on all of them.
AWS is betting that its Trainium chips can reshape the economics of training and inference, even as it retains a strong partnership with semiconductor giant Nvidia.
More than 60% of global AI compute capacity sits with hyperscalers, led by Google, raising new questions about control, pricing power, and access.
AI networking is revolutionizing network operations by automating processes, improving performance, and enhancing security. Learn how AI can transform your network and explore its key use cases and challenges.
The $25B initiative could redefine chip manufacturing at scale, but supply constraints and long timelines likely mean IT buyers won’t feel its effects for years.
Location isn’t enough. IT leaders are prioritizing legal and operational autonomy to shield critical data from geopolitical volatility.
With enterprises mixing silicon and platforms, the focus is moving to how everything connects and runs together.
The city of Seattle consolidated its legacy sprawl to make room for more than 50 generative AI proof-of-concept projects.
Microsoft is questioning whether OpenAI’s recent partnership with AWS conflicts with the existing Azure exclusivity arrangement.
The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads.
