MicroLED-based interconnects paired with imaging fiber could reduce networking energy use by up to 50% while easing AI-driven bottlenecks inside data centers.

The new processor signals a shift in AI data center design as orchestration, inference, and real-time execution move to the center of next-generation workloads.

Nvidia CEO Jensen Huang debuted a five-rack AI platform with Groq for agentic inference, raised revenue outlook to $1 trillion through 2027, and sketched a path for orbital data centers.

The AI cloud provider is pairing next-gen GPU infrastructure with new development tools aimed at accelerating the shift from model training to production-scale AI.

The five-year agreement would expand Nebius’s AI cloud footprint as hyperscalers race to secure next-generation GPU capacity.

Seawater cooling offers a sustainable solution for data centers, reducing reliance on freshwater while addressing growing environmental concerns.

Enterprises adopting artificial intelligence face challenges distinct from those of hyperscale users in data center capacity and capability planning.

The company is forging ahead with new data center commitments as part of its $10 billion expansion plan to support growing demand for AI and high-density compute infrastructure.

The main bottleneck for the data center investment boom isn’t capital, land, or energy. It’s labor.

Mixed-density data halls demand cooling strategies grounded in workloads, facility constraints, and the teams on the floor.