Experiment with a model
A research team may need to run several trials, keep environments consistent and pause compute between sessions. Specify the tools, data size and experiment duration.
Use cases
Training, adaptation and inference
Memory, throughput and availability requirements vary with the workload. These examples help define what a service would need to provide.
Prelaunch projectAdapt an existing model
Adaptation may involve sensitive or proprietary datasets. Residency, access conditions and retention rules should be defined before transferring data to a provider.
Serve requests
An inference application must handle changes in demand and make its behaviour observable. Peaks, desired response times and fallback strategy are parameters to describe, not guarantees this project can currently offer.
Process batches
Transcription, classification or deferred generation may run in batches. Volumes, processing windows and cost targets help compare one-off runs with reserved capacity.
Scope before choosing
For each use case, note the model, expected workload, data involved and required residency. The guide explains the terms; the local brief collects your initial assumptions.
FAQ
Common questions
Is EULYO available now?
No. EULYO is in pre-launch and is not accepting orders.
Are the GPUs made in Europe?
No European component origin is claimed. The hardware supply chain is global.
Can I send my brief?
The configurator downloads a file to your device. It does not send it to EULYO.