Prototyping & light training
Production model training
Large language models
Automatic logging of metrics, hyperparameters, and model artifacts with MLflow.
400 Gbps InfiniBand for multi-node training with near-linear scaling.
Automated data preprocessing and augmentation pipelines with versioning.
Save up to 80% with interruptible training jobs and automatic checkpointing.
Scale across multiple GPUs and nodes with PyTorch DDP and DeepSpeed.
JupyterLab and VS Code with GPU support and pre-installed libraries.
Diffusion models, GANs, VAEs.
Parallel environments.
ASR, TTS, music generation.
Foundation models.
Multi-GPU clusters.
Classification, detection, segmentation.