Volar Cloud is a purpose‑built GPU cloud for foundation model labs and AI‑native enterprises — reserved capacity on NVIDIA's frontier accelerators, operated by veterans of hyperscale infrastructure.
Reserved‑capacity infrastructure on the latest NVIDIA accelerators, designed end‑to‑end for training, inference and agentic systems.
NVIDIA's latest GB‑class and B‑class GPU systems with InfiniBand and Spectrum‑X interconnect — the hardware foundation for serious training and inference.
Multi‑year, named‑cluster contracts. Predictable economics, dedicated hardware, no contention with internal hyperscaler workloads.
Bare‑metal and managed Kubernetes, custom networking and storage, 24×7 NOC — tuned to the realities of long training runs and latency‑sensitive inference.
IaaS today. PaaS and MaaS on the roadmap. All on the same dedicated GPU fabric.
Multi‑year contracts with prepayment options; dedicated, named‑cluster commitments rather than spot rental.
Foundation model labs and AI‑native enterprises first; broader committed‑consumption customers as capacity scales.
Target 99%+ uptime; 24×7 NOC; full‑stack delivery and maintenance from racking to runtime.
Asset‑light: long‑lease colocation + GPU project finance + customer prepayments — minimal equity per MW deployed.
Not retrofitted general‑purpose cloud. Every layer of the stack is tuned for the shape of modern AI workloads.
Thousand‑GPU clusters with non‑blocking InfiniBand fabric, designed for long, uninterrupted pretraining and large‑scale RL runs.
Dedicated inference fleets sized to your traffic, with predictable performance and locality controls for latency‑sensitive deployments.
In‑region capacity for teams with data residency, sovereignty or latency requirements that hyperscalers can't always serve.
Choose your level: raw bare‑metal for maximum control, or managed Kubernetes and Slurm with image catalogs and shared storage tiers.
Single‑tenant deployments, network isolation, BYOK encryption and detailed audit trails — designed for regulated and sensitive workloads.
Direct technical engagement with our infrastructure and ML systems team — not anonymous SKU procurement through a portal.
Long‑horizon training. Production inference fleets. Capacity‑secure deployments where the hyperscaler economics or queue don't fit.
Frontier and open‑weight model developers requiring multi‑thousand GPU clusters for pretraining, RL and large‑scale evaluation runs under multi‑year reserved contracts.
Vertical AI companies in autonomous systems, robotics, life sciences and media — with dedicated inference fleets and strict latency, locality and compliance profiles.
Government‑backed and regional AI initiatives that require in‑country deployment with data sovereignty controls — an emerging segment across our footprint.
For capacity, partnership, capital and data center inquiries — reach out and we'll come back within one business day.