Dedicated compute.
Managed.
Bare Metal as a Service (BMaaS) gives you dedicated, single-tenant GPU clusters built for demanding AI workloads. ChronoScale manages the infrastructure end-to-end — from compute, networking, and storage to deployment and operations — so you can focus on running and scaling your AI workloads.
Beyond shared
AI infrastructure.
Dedicated infrastructure.
Predictable performance.
Shared GPU cloud spreads a fabric across competing tenants. A ChronoScale cluster is yours alone, which makes throughput and response times something you can plan against.
Single-tenant AI infrastructure
Shared GPU cloud
Configured for your workload.
You define the outcome. ChronoScale designs the compute, network, storage, cooling, and operating model around it.
Purpose-built
AI compute.
As models grow, infrastructure choices determine training throughput, inference margin, reliability, and how fast teams can move from experiment to production.
Foundation model training
Scale-out GPU clusters engineered for distributed training, with high-bandwidth GPU fabrics, low-latency networking, and high-throughput storage.
High-throughput inference
Dedicated GPU infrastructure designed for sustained, high-volume inference with predictable performance, low-latency data movement, and scalable throughput.
HPC and simulation
Accelerated compute infrastructure with high-speed interconnects and parallel storage for compute- and data-intensive scientific, engineering, and simulation workloads.
Built to grow with your workloads.
Scale dedicated GPU infrastructure as workload requirements evolve — from initial deployment through larger, higher-density environments. ChronoScale manages the infrastructure lifecycle so compute, networking, storage, cooling, and operations scale together.
