Launch dedicated virtual machines with SSH access for long-running workloads, development environments, or persistent compute needs.
Overview
Lyceum VMs provide full Linux instances with root access, ideal for workloads that need persistent state, custom system configurations, or interactive development sessions.GPU Support
A100 and H100 GPUs for ML training and inference
SSH Access
Full shell access with your SSH keys
Flexible Resources
Configure CPU, memory, disk, and GPU count
When to Use VMs
- Use VMs For
- Consider Alternatives
- Long-running training jobs (hours/days)
- Interactive development and debugging
- Persistent development environments
- Workloads requiring custom system packages
- Multi-process applications
- Jobs requiring specific hardware configurations
Hardware Profiles
| Profile | GPU | vCPU | Memory | Best For |
|---|---|---|---|---|
cpu | None | 4 | 16 GB | Development, testing, CPU workloads |
a100 | NVIDIA A100 | 8 | 64 GB | ML training, large models |
h100 | NVIDIA H100 | 8 | 80 GB | Latest ML workloads, maximum performance |
VM Lifecycle
| Status | Description |
|---|---|
pending | VM is being provisioned |
ready / running | VM is available for SSH access |
failed / error | Provisioning failed |
terminated | VM has been deleted |
Quick Start
1
Authenticate
2
Check availability
3
Start a VM
4
Connect via SSH
The CLI displays the SSH command when your VM is ready:
5
Terminate when done