Serverless model APIs, dedicated endpoints, GPU instances, and bare-metal clusters—delivered on a unified compute and inference stack.
Access leading models via a unified, OpenAI-compatible interface. Billed by the token, production-ready.
Pay per token, not idle hours. The management plane orchestrates ServingApps while traffic goes straight to inference pods—fault domains stay isolated.
Bind an Accelerator Pool and Serving Recipe for consistent throughput. Built for production ServingApps—no noisy neighbors.
Built-in provisioning and scheduling across GPU servers, bare metal, serverless jobs, and multi-cloud price discovery.
Fully managed GPU machines, ready in seconds. Docker / KVM with CUDA preinstalled—ideal for training and debugging. Prepaid or per-second billing.
Submit a job; we allocate accelerator pool capacity and scale to zero when done. No idle cost—built for batch inference and elastic serving.
Physically isolated 100% compute with automated GPU drivers. IB / RoCEv2 networking for large-scale training and dedicated inference.
Owned AIDC capacity plus a heterogeneous accelerator control plane—turning deployment from tribal knowledge into governed engineering.
Self-owned liquid-cooled clusters and live multi-cloud pricing—target 50%+ higher useful output on the same hardware.
Management plane stays outside the GPU fault domain; inference traffic hits the cluster directly. Deep links into Prometheus / Grafana / Loki.
Model APIs, accelerator pools, Serving Recipes, and usage billing—connected in one operating surface.
Accelerator inventory and compatibility decisions in one model—NVIDIA first, with room for AMD / Ascend / TPU.
Grow from serverless APIs to dedicated endpoints and bare metal—with quotas, credits, and order workflows end to end.
Built for operators and enterprises: modular governance across provisioning, scheduling, operations, and ops tooling.
Full-lifecycle token commerce with on-demand, reserved, or committed capacity—plus compute credits, vouchers, and allowances.
Billed per million tokens. Example: Claude Opus 5 at $5.00 input / $25.00 output.
H200 from about $3.65–$4.23 / GPU / hr. Per-second billing, no minimum. Low-stock alerts and upgrade approvals when capacity tightens.
Private inference foundations, credit limits, invoicing, and contract billing. Talk to sales for a custom Accelerator Pool.
Start with free developer credits, then scale to dedicated endpoints and bare metal. Docs, console, and Unified Compute Interface (UCI) are ready.
Docs and onboarding are available through our team. Reach out and we will help you get started.
jihao@chroit.hk