DomainOS Managed Inference · Pricing

Pay for the engineering. Keep your cloud, your data and your compute bill.

Fixed prices to plan it and deploy it, then a monthly plan to keep it running. Your cloud provider bills compute to you directly, with no markup from us.

Where are you starting?

01 Assess

Know exactly what to run, where, and what it will cost.

A written plan before you commit to infrastructure: the model, the GPU, the hosting and a monthly cost estimate, ready for your team to approve.

Inference Assessment

$249 one-time

Decide how to deploy and run an open-weight model before you commit to infrastructure.

  • Discovery session on your application and workload
  • Open-weight model recommendations
  • GPU and memory requirements
  • Cloud or your-own-infrastructure options
  • Preliminary monthly infrastructure cost estimate
  • Recommended inference engine and API architecture
  • Deployment roadmap, timeline and implementation quote

Paid upfront. Delivered as a written assessment and deployment plan, 2–3 business days after we receive your requirements.

$100 is credited toward a qualifying deployment bought within 30 days.

No live GPU benchmarking or hands-on deployment.

You walk away with

A written inference assessment and deployment plan, in 2–3 business days.

$100 of it counts toward your deployment if you go ahead within 30 days.

Start with an assessment

02 Deploy

A working, authenticated model API in your cloud.

We deploy, configure, test, document and hand over. Start with one model, or bring the requirements of a larger build.

Basic Deployment & API Setup

$499 one-time

One supported open-weight model behind an authenticated API, in one environment.

  • One supported open-weight model
  • Inference engine set up (such as vLLM)
  • One GPU-backed deployment environment
  • OpenAI-compatible API with key authentication
  • Inference and API connectivity tests
  • Python integration example
  • Deployment documentation and handover

You receive a working endpoint, tested API access, configuration files and handover instructions.

Typically 3–5 business days, depending on infrastructure and requirements.

Custom / Advanced Deployment

From $1,500 Project-based

Model serving with extra technical requirements.

  • Multiple models or environments
  • Custom cloud configuration and GPU performance tuning
  • Batching and concurrency optimisation
  • API gateway and advanced authentication
  • Logging, monitoring and alerting
  • Integration with your existing application
  • Load testing, benchmarking, backup and automation

Extended single-model deployment from $1,500; multi-component from $3,000; advanced infrastructure and integrations from $5,000.

Priced on the agreed scope and acceptance criteria. 50% upfront, 50% on completion of agreed milestones.

Enterprise / Dedicated Infrastructure

Custom quote Project-based

For specialised security, governance, performance or infrastructure needs.

  • Customer-owned or dedicated infrastructure
  • Data residency and jurisdiction-specific deployment
  • Private network access and identity integration
  • High availability and scaling architecture
  • Compliance-related configuration and documentation
  • Formal performance and security acceptance testing
  • Custom support and service-level agreements

Quoted after a paid assessment or technical discovery. Ongoing management is quoted separately.

03 Operate

Keep it healthy, current and cost-efficient.

A monthly plan sized to how much attention your deployment needs: monitoring, updates, troubleshooting, and performance and cost reviews.

Essential

$199 per month

For straightforward single-model deployments.

  • Deployment health checks
  • Inference service troubleshooting
  • Resource and cost usage review
  • Routine configuration help
  • Up to 2 engineering support hours a month
  • Email support

Growth

$499 per month

For applications that need more frequent attention.

  • Everything in Essential
  • More frequent service and usage reviews
  • Performance and cost optimisation recommendations
  • Routine model-serving software updates
  • Configuration and integration support
  • Up to 5 engineering support hours a month
  • Priority support queue

Advanced

From $999 per month

For higher-volume or operationally important deployments.

  • Everything in Growth
  • Customised monitoring and alerting
  • Scheduled performance and capacity reviews
  • Deployment changes and optimisation work
  • Up to 10 engineering support hours a month
  • Agreed response-time targets and escalation

A typical first engagement

From question to running endpoint.

Most teams start with the assessment, deploy one model, and put it on Essential. Here is that path, priced end to end.

Inference Assessment$249
Basic Deployment & API Setup$499
Assessment credit (deployment within 30 days)− $100

$648to a tested, documented endpoint in your cloud

then $199 a month on Essential

Start your service

Everything else

Extra hands when you need them. Compute at cost, from your provider.

Additional engineering and advice

Technical consultation (60 minutes)$150
Additional engineering support$100 / hour
Specialised AI architecture advisory$150 / hour
Custom benchmarking or optimisation projectFixed quote

Your cloud compute

Paid by you

RunpodAWSGoogle CloudAzureLambda

GPUs, servers, storage and networking are billed by your provider, in accounts you control. Your quote includes a monthly forecast and a spend cap.

  • Assessment and Basic Deployment are paid upfront. Custom projects are 50% upfront and 50% on agreed milestones.
  • Billed monthly in advance. Unused engineering hours do not roll over.
  • Additional engineering, new features and major infrastructure changes are quoted separately.
  • Dedicated coverage, guaranteed uptime and 24/7 incident response need a separate agreement.
  • You keep ownership of your infrastructure and model assets. Cancellation and handover terms are in your agreement.

Pricing questions

Before you decide.

Do we need the assessment before a deployment?

No. If you already know the model and where it should run, go straight to deployment. If you don’t, the assessment gives you a written plan in 2–3 business days, and $100 of it counts toward your deployment.

RunpodAWSGoogle CloudWho pays for the GPU?

You do, directly to your cloud provider. DomainOS never resells compute in this plan. Your quote includes a monthly forecast and a spend cap; we stop and ask before going over it.

What does the monthly plan cover?

Essential ($199 a month) covers health checks, troubleshooting, a usage and cost review, routine configuration help and up to two engineering hours. Growth and Advanced add more frequent reviews, updates, optimisation and more hours.

Can we move between plans?

Yes. Start on Essential and move to Growth or Advanced when your traffic or the attention it needs grows.

ContraHow do we pay?

Through Contra. After you accept your quote, DomainOS links you to the setup payment; the monthly service is a Contra subscription you start at handover. Upload the receipt in the app and we confirm it, usually within one business day.

Can we cancel?

Any time from your DomainOS workspace. The service runs to the end of the period you have paid for, then we hand over the export and shutdown steps.

Get started

Your model, your cloud, run properly.

Tell us what you are building. You get a quote before anything is charged.

Want the full picture first? How Managed Inference works