API & INTEGRATION

Connect the details.
Plan the integration.

Describe how compute needs to fit into your application, tools and operational workflow.

Start with your workflow.

A useful integration brief explains what initiates a job, how data reaches the machine and where results need to go.

Share the interfaces and automation you need. Available integration options are confirmed as part of your project discussion.

Send an integration enquiry
workload.yaml
# A starting point for your compute brief
workload: language-model-inference
accelerator: nvidia-h100
memory: discuss-with-xanpath
environment: pytorch
region: your-preferred-location
next_step: request-a-proposal
Example requirements · No API request

Map the complete lifecycle.

Integration planning checklist
StageQuestions to resolve
ProvisionWhat should trigger resource allocation? What configuration is required?
ConfigureHow are images, software, secrets and data supplied?
RunHow are jobs scheduled, monitored and restarted?
CollectWhere do outputs, checkpoints and logs need to be stored?
ReleaseWhen should resources be released, and what data must persist?

Access & credentials

Describe the identity model, permission boundaries and secret management requirements. Do not include passwords or API keys in an initial enquiry.

Failure & recovery

Define how your application handles unavailable capacity, interruptions, retries and duplicate jobs. Include the outcomes your team needs to observe.

Looking for API documentation?

Contact us with your intended integration. This page is a planning guide; it does not publish an API endpoint or promise a particular provisioning interface.

Ask about integration options

Make infrastructure part of your workflow.

Bring your workload. We’ll start with the questions that matter.

Talk to Xanpath
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