Syaala Platform Documentation
Welcome to the Syaala Platform documentation. Deploy, scale, and monitor AI/ML models on enterprise-grade GPU infrastructure.
New to Syaala? Start with our Quickstart Guide to deploy your first model in under 15 minutes.
What is Syaala?
Syaala is an enterprise GPU deployment platform that simplifies running AI/ML workloads at scale. Deploy models from HuggingFace, manage GPU infrastructure, and monitor performance—all through a unified API.
Key Features
- 🚀 One-Click Deployments - Deploy models from HuggingFace with zero DevOps
- ⚡ Auto-Scaling - Scale GPU replicas based on demand
- 📊 Real-Time Monitoring - Track GPU utilization, memory, and throughput
- 💰 Cost Optimization - Pay only for what you use with per-second billing
- 🔒 Enterprise Security - SOC 2 compliant with role-based access control
- 🌐 Multi-Cloud - Deploy across AWS, GCP, and RunPod infrastructure
Quick Links
Getting Started
- Quickstart Guide - Deploy your first model in 15 minutes
- Authentication - Set up API keys and credentials
- First Deployment - Step-by-step deployment tutorial
- Template Discovery - 🆕 HuggingFace integration & personalized recommendations
API Reference
- Deployments API - Create and manage model deployments
- Models API - Browse and validate models
- Billing API - Track usage and manage credits
- Alerts API - Configure monitoring alerts
SDKs & Tools
- TypeScript SDK - Official Node.js/TypeScript SDK
- Python SDK - Official Python SDK
- CLI - Command-line interface for developers
- CLI Commands - 🆕 Model discovery & template creation commands
- REST API - Direct HTTP API access
Examples & Tutorials
- Build a Chatbot - Deploy a conversational AI
- Fine-Tuning Pipeline - Train custom models
- Batch Processing - Run inference at scale
Support
- Documentation Issues: GitHub Issues
- API Status: status.syaala.com
- Community: Discord Server
- Enterprise Support: Contact Sales
⚠️
API Keys Required: All API requests require authentication. Generate your API key in the dashboard.