Machine learning doesn’t need to be so hard. Run models in the cloud at scale.
Run: Replicate lets you run machine learning models with a few lines of code, without needing to understand how machine learning works.
Push: You're building new products with machine learning. You don't have time to fight Python dependency hell, get mired in GPU configuration, or cobble together a Dockerfile. That's why we built Cog, an open-source tool that lets you package machine learning models in a standard, production-ready container.
Scale: Deploying machine learning models at scale is horrible. If you've tried, you know. API servers, weird dependencies, enormous model weights, CUDA, GPUs, batching. If you're building a product fast, you don't want to be dealing with this stuff. Replicate makes it easy to deploy machine learning models. You can use open-source models off the shelf, or you can deploy your own custom, private models at scale.