Introducing Atmos: High-Performance Model Inference

We are excited to announce the launch of Atmos, a new platform designed to make deploying and scaling open-source AI models easier than ever.

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We are thrilled to announce the public beta of Atmos, a high-performance model inference platform built for developers and data scientists.

Why Atmos?

The landscape of AI is evolving rapidly, with open-source models like Llama 3 and Mistral closing the gap with proprietary models. However, deploying these models at scale remains a significant challenge. Managing GPU infrastructure, optimizing inference latency, and handling auto-scaling require specialized expertise and significant engineering resources.

Atmos solves these problems by providing a fully managed infrastructure for model serving.

Key Features

  • One-Click Deployment: Deploy popular open-source models in seconds.
  • OpenAI Compatible API: Integrate seamlessly with your existing applications using standard API formats.
  • Auto-Scaling: Automatically scale your endpoints based on traffic demand.
  • Cost-Effective: Pay only for the compute you use with our usage-based pricing.

Getting Started

Getting started with Atmos is easy. Simply sign up for an account, choose a model from our hub, and deploy your first endpoint.

We can't wait to see what you build!