A fully managed solution for Ray, from the creators of Ray.
Let us run Ray for you, hosted on cloud infrastructure fully managed by us, so that you can focus on what you do best — ship great products.
Anyscale automatically scales your infrastructure and clusters up or down to meet the dynamic demands of your workloads.
Whether it’s executing a production workflow on a schedule or running a highly scalable and low-latency production service, Anyscale makes it easy to create, deploy, and monitor machine learning workflows in production.
Anyscale automatically creates and managers clusters, runs jobs, and monitors jobs until it succeeds.
Automate jobs and cluster management or integrate into your CI/CD pipelines with simple, intuitive APIs and SDKs.
Centrally monitor the health of your jobs and resources with out of the box Grafana dashboards. Or send logs and metrics to your existing observability stack.
Keep tabs on the costs tied to jobs, clusters, and users in a single intuitive UI.
Ray and Anyscale have been instrumental in scaling Dendra Systems’ machine learning platform to handle our ever increasing dataset of ultra-high resolution UAV imagery. Being able to operate quickly at this massive scale has enabled us to deliver novel solutions towards Dendra Systems’ mission of scaling ecosystem restoration of our biodiverse natural world.
Shuning Bian
Chief Architect, Dendra Systems
Offload cluster and infrastructure ops overhead to us, so that you can focus on innovating and bringing great products to market faster.
Improve your cost-performance calculus by eliminating the devops burden and using a more efficient, optimized architecture for running Ray.
Accelerate time to success with instant access to the engineering team behind Ray for expert, consultative support and guidance.
Get a customized demo to see how Ray and Anyscale can help your team cross the scaling gap in AI.