Powered by Lunal's Trusted Execution Environments
We deployed a Ray cluster inside a Trusted Execution Environment (TEE). The entire cluster, including the head node and workers, runs within hardware-protected confidential VMs so that workloads stay private even from the cloud provider.
TEEs provide a tamper-proof secure boundary where your compute workloads run. Everything operates within hardware-protected memory that guarantees the following:
Test Ray's distributed computing and ML serving capabilities directly from your browser:
Execute parallel computation across the Ray cluster:
Or use the API programmatically:
curl -X POST https://ray-demo.lunal.dev/api/ray/distributed-task \
-H "Content-Type: application/json" \
-d '{"numbers": [1, 2, 3, 4, 5], "operation": "square"}'
Deploy and query ML models with Ray Serve:
Or use the API programmatically:
curl -X POST https://ray-demo.lunal.dev/api/ray/serve \
-H "Content-Type: application/json" \
-d '{"features": [5.0, 3.2, 1.8]}'
Lunal is the trusted compute company that makes TEEs simple, usable, and scalable. We provide unified software and infrastructure for deploying AI workloads in TEEs with zero configuration.