Training Cluster

TIR Training Cluster provides a dedicated compute environment for running distributed AI model training workloads. Get fixed-price allocations of GPU, CPU, and RAM with support for PyTorch, PyTorch Lightning, Slurm, and OpenMPI frameworks — no extra charges for deployments running inside the cluster.

Multi-Node GPU TrainingPyTorch / Slurm / MPIFixed PricingSFS / PFS Storage

Quick Start

Overview

Understand what a Training Cluster is and when to use it.

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Quick Start

Create your first Training Cluster and launch a training deployment.

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Deployment Frameworks

Configure PyTorch, Slurm, or MPI deployments on your cluster.

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Troubleshooting & FAQs

Resolve common issues and get answers to frequently asked questions.

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Explore Training Cluster

Cluster Management

Create, upgrade & terminate

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→Create a training cluster

→Upgrade cluster plan

→Terminate a cluster

Deployment Frameworks

PyTorch, Slurm & MPI

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→PyTorch Distributed (DDP)

→PyTorch Lightning

→Slurm

→OpenMPI

Monitoring

Cluster health & GPU metrics

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→Cluster monitoring and Alerts

→Node monitoring

→Deployment metrics

Storage & Data

Shared file systems & datasets

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→Shared File System (SFS)

→Parallel File System (PFS)

→Datasets

Deployment Actions

Restart, clone & manage jobs

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→Create a deployment

→Restart, clone & terminate

→SSH & network security

API Reference

REST API

</>Training Cluster API Reference

Programmatically create, manage, and monitor TIR Training Clusters and deployments. Automate cluster provisioning, retrieve job status, and control lifecycle via REST.

Explore REST APIs

Authentication & Endpoints

Request and Response Schemas

Open API Reference →

tir.e2enetworks.com / api / v1

GET/projects/{id}/distributed_jobs/cluster/List all training clusters

POST/projects/{id}/distributed_jobs/cluster/Create a training cluster

GET/projects/{id}/distributed_jobs/cluster/{id}/Get cluster details

DELETE/projects/{id}/distributed_jobs/cluster/{id}/Delete a training cluster

POST/projects/{id}/distributed_jobs/jobs/Create a deployment

GET/projects/{id}/distributed_jobs/jobs/List all deployments

Billing & Plans

Billing & Credits

Training Clusters are billed at a fixed rate based on your cluster plan. Pricing does not vary with resource utilization, and deployments running inside the cluster incur no additional charges.

View Billing Docs →

Fixed-rate billing

Billed per hour based on cluster plan — costs do not change with GPU utilization.

No per-deployment charges

Run multiple training deployments inside your cluster at no extra cost.

Plan-based pricing

Choose a cluster plan that matches your RAM, CPU, and GPU workload requirements.