Cost optimizations
Run on spot and parallelized GPUs. Run in AWS/GCP/Azure and use your cloud credits.
Fast inference
Use vLLM, TensorRT, TGI or any other inference engine. Low cold starts with our fast registry.
Simpler developer experience
A fully managed Kubernetes platform that runs in your own cloud. Open-source Python library and API to simplify your entire AI workflow.
Pay GPUs at cost of cloud
Serverless providers charge you a premium on compute that quickly becomes very expensive. With Mystic running in your cloud, there is no added fee on compute.
Run inference on spot instances
Mystic allows you to run your AI models on spot instances and automatically manage the request of new GPUs when preempted.
Run in parallel, in the same GPU
Mystic supports GPU fractionalization. With 0 code changes, you can run multiple models on the same A30 or A100 or H100 or H200 GPU and maximise GPU utilization.
Automatically scale down to 0-GPUs
If your models in production stop receiving requests, our auto-scaler will automatically release the GPUs back to the cloud provider. You can easily customize these warmup and cooldown periods with our API.
Cloud credits and commitments
If you are a company with cloud credits or existing cloud spend agreements, you can use them to pay for your cloud bill while using Mystic.
Bring your inference engines
Within a few milliseconds our scheduler decides the optimal strategy of queuing, routing and scaling.
High-performance model loader built in Rust
Thanks to our custom container registry, written in Rust, experience much lower cold-starts than anywhere else in the market and load your containers extremely fast.
No Kubernetes or DevOps experience required
Our managed platform removes all the complexities of building and maintaining your custom ML platform. We’ve packed all the engineering so you don’t have to.
APIs, CLI and Python SDK to deploy and run your ML
Extremely simple APIs, our CLI tool and an open-source Python library to give you the freedom and confidence of serving high-performance ML models.
A beautiful dashboard to view and manage all your ML deployments
A unified dashboard to view all your runs, ML pipelines, versions, GPU clusters, API tokens and much more.
