# Trainy

> Trainy is a GPU infrastructure platform that lets AI teams run large-scale ML workloads on-demand or reserved clusters using simple YAML files, with zero code changes required.

Trainy is a GPU infrastructure platform designed for AI teams that need to run large-scale machine learning workloads without the complexity of managing cloud networking, scheduling, and fault recovery. Teams submit jobs via simple YAML files and Trainy handles multi-node networking, priority queuing, health monitoring, and automatic failure recovery. It supports both on-demand GPU access and reserved dedicated clusters, enabling a hybrid approach that minimizes idle GPU time and infrastructure costs.

- **Simple YAML Job Submission**: *Write a config file specifying nodes, GPU types, and priority, then deploy with a single CLI command — no code changes needed.*
- **Multi-Node Training Support**: *Scale AI workloads across thousands of GPUs with high-bandwidth networking (3.2 TB/s Infiniband) configured automatically.*
- **Cross-Cloud Compatibility**: *Deploy to any cloud provider with the same YAML file and switch providers without changing your workflow.*
- **Multi-Framework Support**: *Run PyTorch, HuggingFace, JAX, Ray, and any Python-based ML framework without modification.*
- **Preemptive Priority Queue**: *High-priority jobs automatically pause lower-priority ones and resume them on completion, keeping GPUs busy 24/7.*
- **Health Monitoring & Fault Detection**: *Continuous GPU health checks, automated failure recovery, and direct cloud provider escalation prevent costly downtime.*
- **Resource Management Dashboard**: *Real-time visibility into GPU utilization, costs, and cluster performance to make informed infrastructure decisions.*
- **On-Demand Pricing**: *Pay only when training runs — zero cost for idle GPUs — with no annual contract lock-in required.*
- **Reserved Clusters**: *Dedicated GPU allocation with enterprise SLA, advanced monitoring, and cluster utilization insights for teams with predictable workloads.*
- **Fast Setup**: *Go from zero to a functional multi-node training setup with high-bandwidth networking in under 20 minutes.*

## Features
- YAML-based job submission
- Multi-node training
- High-bandwidth networking (3.2 TB/s Infiniband)
- Cross-cloud compatibility
- Priority queuing system
- GPU health monitoring
- Automated job failure recovery
- Fault-tolerant infrastructure
- Resource management dashboard
- Team access controls
- On-demand GPU pricing
- Reserved dedicated GPU clusters
- Multi-framework support (PyTorch, HuggingFace, JAX, Ray)
- 99.5% uptime SLA
- 24x7 support

## Integrations
PyTorch, HuggingFace, JAX, Ray, Kubernetes, Cloudflare R2, DigitalOcean, Paperspace

## Platforms
WEB, API, LINUX

## Pricing
Paid

## Links
- Website: https://www.trainy.ai
- Documentation: https://docs.trainy.ai/overview
- EveryDev.ai: https://www.everydev.ai/tools/trainy