Parallel Python Code Execution
Enables scaling of Python code in parallel for tasks such as simulations and backtesting without rewriting code.
Multimodal Data and GenAI Workflow Support
Supports processing of multimodal data including images, videos, and audio, and enables end-to-end generative AI workflows including retrieval-augmented generation (RAG) applications.
LLM Inference and Fine-Tuning
Provides flexibility to perform inference and fine-tuning of large language models on any accelerator or model.
Workload Observability and Debugging
Includes profiling tools and a dashboard for distributed debugging and dependency management across nodes.
Fault-Tolerant Cluster Deployment
Offers auto-scaling, spot instance management, and cost governance for cluster deployment to improve reliability and reduce costs.