> ## Documentation Index > Fetch the complete documentation index at: https://docs.hyperbolic.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Private Cloud Overview > Custom GPU infrastructure for production-scale AI Private Cloud gives you dedicated GPU capacity configured around your networking, storage, security, and SLA requirements, with strong unit economics for long-term commitments. Private Cloud is arranged through our sales team under a custom contract. It is not self-serve and does not appear in your dashboard. ## When to use Private Cloud * Enterprise production workloads at sustained scale * Security-conscious teams that require single-tenant isolation * Large, long-term commitments (typically \$1M+ deployments) * Workloads that need custom SLAs, custom networking, or custom storage ## Key features * Dedicated H100, H200, and B200 GPU clusters * Network isolation with private subnets and firewall rules * High-bandwidth InfiniBand networking for distributed training * Flexible operating models, including managed Kubernetes, managed Slurm, or a fully isolated environment where only your team holds credentials * Custom storage with node-local NVMe and shared or parallel filesystems * Direct access to engineers, with 24/7 coverage for critical issues ## Pricing and contract * Custom contract based on cluster size, GPU type, term length, and configuration * Long-term commitments with the best unit economics * Access, management, and payment terms are unique to each contract and are negotiated directly with a sales representative and a technical representative [Talk to sales](mailto:sales@hyperbolic.ai) for a tailored quote and to learn more about accessing and managing your Private Cloud instances. Coming soon: You will soon be able to view (but not manage) your Private Cloud instances the same way you do for on-demand and reserved instances.