
New Graviton5-powered C9g and C9gd instances target AI orchestration alongside HPC and analytics as AWS argues CPUs remain central to the next generation of AI infrastructure.
AWS has released new compute-optimized instances powered by its latest Arm-based processor, designed for AI orchestration, high-performance computing, and analytics workloads. The new instances offer improved performance per processor core along with enhanced memory support and security features. While GPUs remain central to AI model training and large-scale inference, the broader AI infrastructure increasingly requires CPUs to handle orchestration, memory management, scheduling, and other tasks that keep expensive accelerators fully utilized. Industry analysts note that CPU demand is expected to grow rapidly as AI systems evolve into more complex agentic architectures requiring multi-step workflows and tool calling.

As utilities struggle to keep pace with AI-driven demand, a new industry coalition aims to create a common playbook for powering next-generation data centers.

Nvidia AI chip competitor Etched says it has already booked $1 billion under contract for the inference systems powered by its chip.

The deal reflects the operator’s strategy to scale its footprint amid surging AI-driven demand for data center infrastructure, while potentially signaling Blackstone’s shift toward higher-return investments.
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