Run code on GPUs without managing infrastructure.
Zero config. Per-second billing. Automatic hardware selection. Just submit your code.
Three ways to run.
Choose the abstraction level that fits your workflow.
Python Execution
Fastest path from code to GPU. Zero config.
Full control over your environment.
Compose Multi-container GPU applications.
Orchestration
Unify on-premise clusters, cloud accounts, and Lyceum Cloud into a single orchestration layer.
Zero configuration
No Dockerfiles, no provisioning, no cluster setup. Just submit your code and go.
Per-second billing
Pay only for compute time used, not idle time. Billing stops the moment your job finishes.
Automatic hardware selection
Lyceum picks the optimal GPU for your workload. Or specify exactly what you need.
No idle costs
Machines spin down automatically when your job finishes. You never pay for unused compute.
GPU pricing
All GPUs billed per second. No minimum commitment.
| GPU | VRAM | Price/hour | Price/second |
|---|---|---|---|
| NVIDIA B300 | 288 GB | $8.49 | 0.1415 |
| NVIDIA B200 | 192 GB | $6.29 | 0.1048 |
| NVIDIA H200 | 141 GB | $3.99 | 0.0665 |
| NVIDIA H100 Popular | 80 GB | $3.59 | 0.0598 |
| NVIDIA A100 | 80 GB | $2.50 | 0.0417 |
| NVIDIA L40S | 48 GB | $1.69 | 0.0282 |
Start training in under 60 seconds.
No infrastructure to manage. Just code and compute.