TrainPilot¶

TrainPilot

Hardware-aware agent to orchestrate and optimize NN training workloads.

Our ReasoningAgent dynamically decides between high-performance ANE or efficient CPU training based on real-time system metrics.

Accurately extracts model complexity (architecture, dataset size) to predict resource needs before training begins.

Leverages past performance logs to estimate training time, allowing for proactive resource allocation and scheduling.

Get TrainPilot running in minutes to start optimizing your deep learning pipelines.

pip install trainpilot-agent

Then, consult our Getting Started Guide for configuration details.