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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.