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Overview

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Beta Notice: Gravix Layer is currently in beta release. Ongoing updates to API endpoints and models are happening, and it is available to try for free.

Gravix Layer is a distributed AI inference platform designed for teams of all sizes to easily build, deploy, and scale AI applications. It unifies everything you need to manage, deploy, and monitor state-of-the-art AI models from a single dashboard. With enterprise-grade security, global performance, transparent usage-based pricing, and a developer-first experience, Gravix Layer lets you move from prototype to production with confidence—eliminating infrastructure headaches, hidden costs, and loss of control.


Use Cases

Inference

Gravix Layer makes it easy to deploy and scale open-source models for real-time AI applications.

  • Serverless: Instantly deploy models for chatbots and agents, with auto-scaling and seamless integration via OpenAI API and LangChain.
  • Dedicated: Use dedicated resources for custom workloads, ensuring compliance, security, and control for enterprise and regulated use cases.

Training

Build and improve language models with flexible, scalable compute resources.

  • Train or improve models with scalable compute.
  • Run experiments with full resource control.

Fine-Tuning

Customize models for your specific needs and deploy them as production endpoints.

  • Fine-tune models on your own data.
  • Deploy specialized endpoints for your needs.

Features

  • Unified API for Open-Source Models: Access and run leading open-source models (Llama, Mixtral, Gemma, Whisper, Deepseek, Qwen, and more) with a single, consistent interface.
  • Flexible Inference Options: Choose serverless endpoints for instant scalability or dedicated deployments for custom workloads and compliance.
  • Training Infrastructure: Provision compute resources for training new models or ongoing pre-training, with full control over data and environment.
  • Fine-Tuning Capabilities: Easily fine-tune pre-trained models on your own datasets for specialized tasks and applications.
  • Enterprise Security & Compliance: Data sovereignty, robust access controls, and compliance features for regulated industries.
  • Monitoring & Management: Intuitive dashboards for usage, performance, and cost tracking; API key management; and real-time metrics.
  • Developer Experience: Fast onboarding, interactive playgrounds, and seamless integration with popular frameworks and developer tools.

Integrations

Gravix Layer currently supports integrations with:

  • OpenAI-Compatible API: Gravix Layer's API is fully compatible with the OpenAI library. Anywhere you use the OpenAI library, you can use Gravix Layer's API as a drop-in replacement for model inference and orchestration.
  • LangChain: Gravix Layer works seamlessly as a backend for LangChain-powered applications. You can use Gravix Layer with LangChain's OpenAI interface for prompt management, workflow automation, and chaining model calls.

Who is Gravix Layer for?

  • Teams deploying dedicated open-source models for production multimodal chat applications, AI agents, and endpoints integrating Model Context Protocol (MCP).
  • Teams developing large language models (LLMs) from scratch, requiring scalable AI infrastructure for distributed training and ongoing pre-training.
  • Teams fine-tuning pre-trained models (such as Llama, Mixtral, Gemma) on smaller, task-specific datasets for specialized applications like customer support, document search, or workflow automation.
  • Developers migrating from OpenAI APIs who want a drop-in compatible backend for LangChain, Hugging Face, and their own orchestration pipelines.

Quick Start

  1. Sign Up & Get Your API Key
  2. API Quickstart: Make your first API call in minutes
  3. Supported Models: Explore available models and capabilities
  4. Cookbook & Demos: See practical examples and scripts

Support


Ready to build? Start exploring the guides and resources above. Your next AI project starts here.