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Managed LocalAI Hosting

OpenAI-compatible local AI inference API

What is LocalAI on ManageStacks?

LocalAI is a drop-in OpenAI API replacement for running LLMs, image generation, and audio models locally. ManageStacks deploys LocalAI with GPU acceleration and optimized model storage.

LocalAI is a drop-in OpenAI API replacement for running LLMs, image generation, and audio models locally. ManageStacks deploys LocalAI with GPU acceleration and optimized model storage.

About LocalAI

What LocalAI does, and why teams deploy it.

LocalAI is a free, open-source alternative to OpenAI that acts as a drop-in replacement REST API compatible with the OpenAI API specification. It runs LLMs, generates images, creates audio transcriptions, and produces embeddings entirely on local hardware without requiring a GPU, though GPU acceleration is fully supported.

LocalAI supports a broad range of model families including LLaMA, Mistral, Stable Diffusion, and Whisper. It provides a single API endpoint that mimics the OpenAI interface, making it straightforward to migrate existing applications from cloud AI services to self-hosted inference.

Key features

Everything LocalAI ships with, running on our stack.

  • OpenAI-compatible REST API for drop-in replacement
  • Support for LLMs, image generation, and audio models
  • CPU and GPU inference with automatic optimization
  • Model gallery for one-click model downloads
  • Text embeddings and vector generation
  • Function calling and grammar-constrained output
How ManageStacks helps

We handle the parts you shouldn't be writing yourself.

ManageStacks deploys LocalAI with pre-configured GPU drivers, persistent model storage, and monitoring dashboards. Run a private OpenAI-compatible API without managing CUDA dependencies or container orchestration.

FAQ

Common questions about LocalAI on ManageStacks.

Can I use LocalAI as a drop-in replacement for OpenAI on ManageStacks?
Yes. LocalAI exposes an OpenAI-compatible API, so you can point any application that uses the OpenAI SDK to your ManageStacks-hosted LocalAI endpoint by changing the base URL.
Does ManageStacks provide GPU support for LocalAI?
ManageStacks provisions LocalAI on GPU-enabled infrastructure with CUDA drivers pre-installed. CPU-only deployments are also available for embedding and smaller model workloads.
How do I add new models to LocalAI on ManageStacks?
You can download models from the built-in model gallery via the API, or upload custom GGUF and safetensors files to the persistent model storage that ManageStacks provisions.

Deploy LocalAI in under 5 minutes.

Subscribe through your AWS, Azure, or GCP marketplace. We handle provisioning, SSL, monitoring, backups, updates, and security. From $99/app/month.