Asia‑Pacific GPU Cloud

Compute for the
frontier of AI.

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.

At a glance

A GPU cloud built for AI workloads, not retrofitted for them.

Reserved‑capacity infrastructure on the latest NVIDIA accelerators, designed end‑to‑end for training, inference and agentic systems.

01

Frontier accelerators

NVIDIA's latest GB‑class and B‑class GPU systems with InfiniBand and Spectrum‑X interconnect — the hardware foundation for serious training and inference.

02

Reserved capacity

Multi‑year, named‑cluster contracts. Predictable economics, dedicated hardware, no contention with internal hyperscaler workloads.

03

Operated for AI

Bare‑metal and managed Kubernetes, custom networking and storage, 24×7 NOC — tuned to the realities of long training runs and latency‑sensitive inference.

The Platform

A full‑stack GPU cloud for training, inference and agents.

IaaS today. PaaS and MaaS on the roadmap. All on the same dedicated GPU fabric.

SaaS
Vertical AI applications built on the platform.
Roadmap
MaaS
Model‑as‑a‑Service — inference acceleration and hosted models.
Roadmap
PaaS
AI workflow management, job scheduling, GPU virtualization, orchestration.
Roadmap
IaaS
GPU cloud hosting, bare‑metal, containers, custom servers, storage and networking.
Day One
NVIDIA GPU clusters — frontier B‑class and GB‑class accelerators with InfiniBand and Spectrum‑X interconnect.

Commercial model

Reserved capacity

Multi‑year contracts with prepayment options; dedicated, named‑cluster commitments rather than spot rental.

Customer focus

Foundation model labs and AI‑native enterprises first; broader committed‑consumption customers as capacity scales.

Operational SLA

Target 99%+ uptime; 24×7 NOC; full‑stack delivery and maintenance from racking to runtime.

Capital efficiency

Asset‑light: long‑lease colocation + GPU project finance + customer prepayments — minimal equity per MW deployed.

Capabilities

Built around how AI teams actually work.

Not retrofitted general‑purpose cloud. Every layer of the stack is tuned for the shape of modern AI workloads.

Training at scale

Thousand‑GPU clusters with non‑blocking InfiniBand fabric, designed for long, uninterrupted pretraining and large‑scale RL runs.

Low‑latency inference

Dedicated inference fleets sized to your traffic, with predictable performance and locality controls for latency‑sensitive deployments.

Regional deployment

In‑region capacity for teams with data residency, sovereignty or latency requirements that hyperscalers can't always serve.

Bare‑metal & managed

Choose your level: raw bare‑metal for maximum control, or managed Kubernetes and Slurm with image catalogs and shared storage tiers.

Enterprise security

Single‑tenant deployments, network isolation, BYOK encryption and detailed audit trails — designed for regulated and sensitive workloads.

Engineering partnership

Direct technical engagement with our infrastructure and ML systems team — not anonymous SKU procurement through a portal.

Who we serve

Workloads that need dedicated, contracted compute.

Long‑horizon training. Production inference fleets. Capacity‑secure deployments where the hyperscaler economics or queue don't fit.

Foundation model labs

Training & large‑scale evaluation

Frontier and open‑weight model developers requiring multi‑thousand GPU clusters for pretraining, RL and large‑scale evaluation runs under multi‑year reserved contracts.

AI‑native enterprises

Production inference at scale

Vertical AI companies in autonomous systems, robotics, life sciences and media — with dedicated inference fleets and strict latency, locality and compliance profiles.

Sovereign & regional AI

In‑country, in‑region capacity

Government‑backed and regional AI initiatives that require in‑country deployment with data sovereignty controls — an emerging segment across our footprint.

Let's build the next decade of AI infrastructure.

For capacity, partnership, capital and data center inquiries — reach out and we'll come back within one business day.

Headquarters
Singapore
Address
— to be announced —