Dedicated GPU clusters engineered to integrate seamlessly with your existing infrastructure, delivering predictable capacity, production-grade resilience, and complete operational control.
Not a GPU rental, a private cluster your platform team attaches to the fleet you already run. Hover or tap a card to explore.
A resilient GPU cluster is not just reliable servers. It is the physical site, power and cooling, network fabric, recovery systems, and observability stack operating as one system.
Built on Bleeding Edge AI FactoriesHosted in secure facilities with resilient power, cooling, and dedicated connectivity: the physical site engineered to keep GPUs running.
Not best-effort GPU hosting.
A production cluster operated as a full system.
A resilient GPU cluster is not just reliable servers. It is the physical site, power and cooling, network fabric, recovery systems, and observability stack operating as one system.
Hosted in secure facilities with resilient power, cooling, and dedicated connectivity: the physical site engineered to keep GPUs running.
Hardened, bunker-grade facilities with layered physical security: secured perimeter, CCTV, 24/7 on-site guards, mantraps and biometric access, operated under ISO 27001 and SOC 2 controls.
Designed around NVIDIA cluster patterns with dedicated management layers and the right topology for cluster-scale throughput: a true non-blocking leaf–spine fat-tree.
At cluster scale, hardware failure is a question of when, not if. The cluster is engineered to detect, isolate, and recover from unhealthy nodes automatically, through continuous monitoring, remediation workflows, and hands-on operational response.
Telemetry across compute, fabric, storage, power, cooling, and connectivity gives operators a live view of cluster health.
Not best-effort GPU hosting. A production cluster operated as a full system.
Deploy private clusters across NVIDIA GPU families, from proven Hopper systems to Blackwell and rack-scale NVL platforms.
Blackwell-generation capacity for customers planning newer cluster deployments.
Start with the private cluster footprint you need today, then expand through planned capacity waves as demand grows. We help your team define the GPU roadmap, network architecture, storage profile, connectivity model, and operating layer so future capacity deploys as a repeatable motion.
Work with Bleeding Edge to define GPU family, scale, fabric, storage, CPU capacity, connectivity, and operating model upfront, so the first deployment is designed with future expansion in mind.
More capacity, without starting over.
A repeatable path to private GPU capacity.
Deployment windows measured in months, not years. Target new-build windows can be defined upfront, subject to GPU availability, site readiness, and customer requirements.
Start with the private cluster footprint you need today, then expand through planned capacity waves as demand grows. We help your team define the GPU roadmap, network architecture, storage profile, connectivity model, and operating layer so future capacity deploys as a repeatable motion.
Work with Bleeding Edge to define GPU family, scale, fabric, storage, CPU capacity, connectivity, and operating model upfront, so the first deployment is designed with future expansion in mind.
Bring the initial cluster online as bare metal, managed Kubernetes, or Slurm, integrated into your network, gateways, observability, and deployment systems.
Grow through additional capacity blocks without starting from zero. Expand the existing environment where appropriate, or add new private clusters behind the same control plane, gateway, and operating model.
Design the capacity program around your roadmap, including future NVIDIA platforms, evolving power and cooling requirements, and new cluster architectures as they become available.
Deployment windows measured in months, not years. Target new-build windows can be defined upfront, subject to GPU availability, site readiness, and customer requirements.
More capacity, without starting over. A repeatable path to private GPU capacity.
