03 / SCALE

AI capacity that fits the way you work.

Access LLM APIs and GPU infrastructure through one local partner. We support product selection, sales, deployment and operations, from usage-based APIs to GPU VMs rented monthly or annually.

  1. 01Choose the workload
  2. 02Deploy & connect
  3. 03Monitor & scale

What we deliver

LLM API access

Select suitable model APIs, connect applications and set up usage visibility, budgets and access controls.

GPU VM rental

Source GPU capacity for inference, creative workloads and development across BytePlus, Alibaba Cloud and other suitable clouds.

Private model deployment

Plan and deploy compatible DeepSeek, Qwen, Ollama or ComfyUI environments around your workload and hardware.

Operations & support

Agree monitoring, updates, backups, incident escalation and scaling responsibilities for the deployed environment.

Choose how you work.

Pay as you go

Usage-based API access and eligible metered GPU resources. Billing units and any minimum commitments are specified in the quote.

Discuss your project ↗

Monthly GPU rental

A recurring rental option for ongoing workloads, with GPU configuration, region and included resources agreed in advance.

Discuss your project ↗

Annual GPU rental

Plan longer-term capacity with an annual term. Availability, payment schedule and renewal conditions are confirmed in the proposal.

Discuss your project ↗

Pricing is quoted for the selected model, GPU, region and term. Storage, bandwidth, software licences and managed support are itemised where applicable; capacity is confirmed before ordering.

From first brief to daily operation.

  1. 01

    Size the workload

    Share model, concurrency, GPU memory, storage and region requirements.

  2. 02

    Validate the configuration

    Test the deployment and confirm capacity, access and expected billing.

  3. 03

    Launch with visibility

    Hand over access, usage monitoring and the agreed support arrangement.

Tell us which service you need.

Share your use case, expected volume, preferred cloud region and timeline. We will shape the scope and commercial options around your requirements.

Discuss your project ↗