Platform Analysis
Cloud platforms are the interface through which most organizations access AI capabilities. US hyperscalers dominate globally, though Chinese platforms lead domestically.
Key Metrics
Reach = (Active developers) × (Enterprise penetration) × (Regions served with compliant offerings)
Allocation Share (%) = (Platform accelerator hours delivered / Total accelerator hours delivered) × 100
What matters in this layer
The platform layer turns hardware into accessible capability: orchestration, networking, storage, monitoring, and security. Platforms also set the policy surface through export compliance and customer screening.
Turnkey training and inference services reduce friction and pull demand. Tooling quality and reliability directly affect adoption.
Platforms that can secure supply (accelerators, networking, power) can gate downstream innovation and attract the best workloads.
AWS Expands AI Infrastructure
Amazon Web Services continues to expand its AI infrastructure, offering access to NVIDIA GPUs, custom Trainium chips, and a growing suite of foundation models.
Alibaba Cloud Deploys Domestic AI Chips
Alibaba Cloud is increasingly deploying domestic AI accelerators across its infrastructure, reducing dependence on restricted US technology.
Microsoft Azure AI Demand Surges
Microsoft reports unprecedented demand for Azure AI services, with enterprise customers rapidly adopting Copilot and other AI-powered tools.