Containerized ML at Scale, Fully Managed
Key Features
Single-tenant GPU clusters pre-loaded with CUDA and the NVIDIA software. One highly-available control-plane VM; GPU worker nodes on bare metal.
Vanilla Kubernetes scheduler with GPU resource awareness. Pods land on nodes with the right GPUs; no topology tuning required at launch.
Resize the cluster via our cloud console or API call. Add or remove GPU nodes in minutes.
Easily monitor your workloads via built-in dashboards and logging
Isolated VPC, RBAC enabled. SSO federation available.
9 × 5 engineer-to-engineer support with 24 × 7 hardware paging. Real people who know GPUs and Kubernetes.
Use Cases
Large Model Inference
Run massive models with predictable latency. Optimize for throughput, batch size, and performance per watt.
Generative AI applications for text, image, and audio.
Scaling ML infrastructure as your customer base grows.
Why BUZZ HPC Managed Kubernetes
Performance-first GPU hardware, zero undifferentiated DevOps toil, and honest, engineer-level support. We start lean so you can ship faster, and we’ll grow the feature set as your needs mature.
