No handoff
Deploy the result where it is trained. No second registry or weight transfer.
Private preview
Fine-tune and deploy models
on managed infrastructure.
OneNexus gives your team a built-in training framework. Upload a dataset, create a training task, and manage the run on the platform.
Run types
What you can train
Choose a supported training type, then configure and schedule the run from your workspace. Elastic training recovers interrupted runs safely within your GPU quota.
| Run type | Typical scale | Good for | Status |
|---|---|---|---|
| LoRA / adapter fine-tune | Single node | Domain tone, format adherence, cheap iteration | Private preview |
| Supervised fine-tune (full) | Single to multi-node | Task specialisation on a labelled dataset | Private preview |
| Reinforcement learning | Multi-node | Preference optimisation, reward-model training | Private preview |
Upload the dataset, schedule the task, and track the resulting model in one platform.
How it works
Your data. Your training schedule. One platform.
The framework is ready in OneNexus; your team uploads data, schedules tasks, and manages each training run.
Data and task
Upload your dataset, create a training task
Training framework
Choose run type, schedule training, track run progress
Deployable model
Review the result, deploy as a self-hosted model
01
Upload your dataset
Upload your data or connect the storage you already use.
02
Create a training task
Choose the supported run type and configure the task in the platform.
03
Schedule training
Set the run schedule and submit it from your workspace.
04
Manage the run
Track status, logs, metrics, and checkpoints as training progresses.
05
Deploy the result
Review the trained model, then deploy it as a self-hosted model. Deploying needs inference GPU quota in your workspace.
Why here
Why train on OneNexus
Built-in framework
Upload a dataset and use the platform to create, schedule, and manage training tasks.
You keep the weights
Finished models remain yours to download.
Training record
Track the dataset, task configuration, run status, and resulting model version.
Shared controls
Keep training and inference within the same team-level usage controls.
Request platform access
Start training on OneNexus
Tell us about your dataset and training plan. We will help you get access to the platform.