Introduction
Learn what WriftAI is, why it exists, and how it simplifies AI
What is WriftAI?
WriftAI is a platform for running, deploying, and scaling AI models in the cloud or locally using simple HTTP APIs and language SDKs. It removes the complexity of AI infrastructure so developers can integrate models without ML expertise, and researchers can deploy them without production engineering.
WriftAI automatically handles GPU provisioning, autoscaling, versioning, and cost optimization. Idle models scale to zero, so you pay only for what you use—even at massive scale.
Why Use WriftAI?
- Run Anywhere — Execute models on your local machine or our cloud
- No Infrastructure Needed — No GPUs, Container management, or DevOps experience required
- Autoscaling and Scale-to-Zero — Built-in cost control with automatic scaling based on demand
- Production-Ready — Designed for extremely large workloads with minimal latency
- Zero ML Knowledge Required — Developers use simple APIs; researchers deploy models without learning cloud engineering
- Model Observability — Logs, metrics, and outputs available in real time
- Language SDKs — Python, JavaScript, and more
Core Concepts
These terms show up throughout the docs: