Flex Ltd announced it will spin off its Power & Cloud division into an independent company focused on AI infrastructure. The new entity aims to accelerate innovation and better serve the growing AI compute and cloud market, with plans to operate independently by the end of 2026, according to a compa...
In 2026, AI infrastructure faces critical energy challenges requiring innovative solutions. This analysis explores the transition to DC power, large-scale renewable energy agreements, and AI-driven nuclear energy development, highlighting their strategic importance for sustainable and scalable AI gr...
Rising AI workload demands are prompting data centers to shift from traditional AC to DC power architectures. This transition reduces energy losses, supports higher power densities, and aligns with sustainability goals. While upfront costs and legacy infrastructure challenges remain, DC power delive...
The integration of multi-silicon inference clouds and disaggregated LLM deployments is reshaping AI infrastructure by addressing inference bottlenecks with heterogeneous hardware and cloud-native orchestration. This analysis explores recent investments and technological advances, highlighting their ...
The inference lattice is reshaping AI compute by distributing inference workloads across specialized, geographically dispersed nodes rather than relying on centralized mega-clusters. This shift addresses physical and social constraints of hyperscale data centers, improves latency and resilience, and...
Tesla and SpaceX’s announcement of Terafab, a $25 billion semiconductor fab targeting 1 terawatt of AI compute annually, signals a potential paradigm shift in AI chip manufacturing. While the scale promises to alleviate supply constraints and accelerate innovation, significant technological and oper...