AI-ready architecture
Purpose-built infrastructure for distributed training, fine-tuning and inference at scale.
Scalable GPU infrastructure designed for advanced model training, fine-tuning and high-throughput inference—connected to the power and data center resources that make AI growth possible.
Future Watt combines high-performance GPU compute, high-bandwidth networking and vertically connected energy infrastructure. The platform is designed to support demanding AI workloads with flexible capacity, operational visibility and responsive support.
Purpose-built infrastructure for distributed training, fine-tuning and inference at scale.
Low-latency networking keeps data moving efficiently across accelerated compute clusters.
Energy, data center and compute expertise coordinated through one infrastructure platform.
Isolated resources and private networking support enterprise data and workload requirements.
Develop language, multimodal, diffusion and foundation models on scalable GPU clusters.
Deploy responsive AI services for reasoning, search, vision and real-time applications.
Run high-volume simulations for energy, industrial systems, cities and complex physical assets.
Extract patterns from large data sets for computer vision, analytics and scientific discovery.
Build adaptive recommendation systems that learn continuously from customer behavior.
Identify emerging issues and support predictive maintenance across connected infrastructure.
Expand compute capacity as training, inference and data requirements grow.
Connect AI infrastructure with renewable power, storage and grid resources.
Monitor resource performance and improve the value of GPU cloud spending.
Work with an infrastructure team focused on reliability and operational response.
Discuss NVIDIA GB200, B200, H200 and H100, or AMD MI300X and MI355X configurations with our team. Specifications, capacity and availability are confirmed during an inquiry.
Ask about GPU options ↗