Pipeline

TIR Pipelines provide scalable, serverless, and asynchronous execution of ML training jobs using Argo and Kubeflow Pipelines templates. With best-in-class retry, unlimited re-runs, stored results, and flexible CPU/GPU resource plans, Pipelines streamline your ML workflow automation.

Argo WorkflowsKubeflow PipelinesServerless ExecutionScheduled RunsCPU & GPU PlansDocker Image Support

Quick Start Guide

Create your first pipeline and run in minutes.

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Features

Versioning, scheduling, Docker runs, and more.

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Pricing

Resource plans and billing details.

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API Reference

REST API

</>Pipeline API Reference

Programmatically create, manage, and execute Pipelines, Runs, and Scheduled Runs.

Explore REST APIs

Authentication & Endpoints

Request and Response Schemas

Open API Reference →

tir.e2enetworks.com / api / v1

GET/projects/{Project_Id}/pipelines/List Pipelines

POST/projects/{Project_Id}/pipelines/upload/Create Pipeline

DELETE/projects/{Project_Id}/pipelines/{pipeline_id}/Delete Pipeline

GET/projects/{Project_Id}/pipelines/{pipeline_id}/versions/List Versions

POST/projects/{Project_Id}/pipelines/runs/Create Run

GET/projects/{Project_Id}/pipelines/runs/List Runs

GET/projects/{Project_Id}/pipelines/jobs/List Scheduled Runs

Billing & Plans

Billing & Credits

Review Pipeline pricing for CPU and GPU resource plans.

View Billing Docs →

Pipeline Execution

Pay per run based on the selected resource plan.

Per-hour Billing

Granular hourly billing for active run duration.

Pricing Page

Use the Pipeline pricing page for plan details.