Cloud
Training pipelines
Multi-node distributed training with sovereign checkpointing.
Orchestration
Xobriq Cloud provides both Slurm (for research teams) and Kubernetes (for production MLOps). Both are fully managed — you just submit jobs.
Submit a training job
bash`xobriq train submit \ --nodes 4 \ --gpus-per-node 8 \ --image xobriq/pytorch-2.4 \ --script train.py \ --checkpoint-bucket sov://checkpoints/llama-13b`
Features
- NVLink Fabric across nodes for near-linear scaling.
- Automatic checkpoint resumption on preemption.
- Sovereign object storage (S3-compatible, in-country).
- Integrated Weights & Biases and MLflow.
- TensorBoard, Grafana, and cost dashboards out of the box.