Lyceum
Accessible GPUs for training and inference
Last reviewed Jun 17, 2026
Lyceum offers serverless inference, dedicated endpoints, GPU VMs, and large-scale clusters for AI workloads. The platform is designed to facilitate the deployment and management of AI solutions without the complexity of traditional infrastructure.
We're actively tracking prices for Lyceum. Check back soon, or browse other providers with current pricing.
Pros & Cons
Advantages
- Instant availability of GPUs with minimal provisioning time.
- No capacity planning or vendor lock-in required.
- Complies with EU data residency requirements.
Limitations
- Limited pricing information available publicly.
- Documentation and support resources not explicitly listed.
Key Features
Serverless Inference
API access to open-source models with pay-per-token pricing.
Dedicated Endpoints
Reserved GPU capacity for production models ensuring low latency and high availability.
Serverless Training
Run training jobs on GPUs without the need for infrastructure management.
GPU Virtual Machines
Full root access to customizable GPU instances ready in seconds.
Large-Scale Clusters
Support for configurations from 8 to 8,000 GPUs with InfiniBand connectivity.
Availability & Support
Regions
GPUs hosted in European data centres
Support
Contact support via sales inquiry or demo booking.
Getting Started
- 1
Sign Up
Create an account on the Lyceum platform.
- 2
Choose a Service
Select between inference, training, or virtual machine options.
- 3
Deploy a Model or Job
Use provided API or CLI instructions to submit your workload.
- 4
Monitor Usage
Utilize dashboard features to track resource usage and performance.
- 5
Seek Support if Needed
Contact the sales or support team for assistance.