Guild AI provides a high-level dashboard for your models that lets you view important details at-a-glance. As you train your models, Guild automatically tracks run progress and updates your dashboard in real time. In addition to tracking TensorFlow metrics, Guild captures system details such as GPU utilization and memory allocation to give you a more complete picture of your training operations.
Guild AI maintains detailed records of each TensorFlow experiment and lets you quickly compare results over time. Guild provides high level summaries, TensorFlow and system metric comparisons per run, and configuration level diffing.
Guild AI seamlessly integrates TensorBoard, letting you drill into TensorFlow event logs when you need lower level details. TensorBoard includes visualizations for event scalars, distributions, histograms, images, audio, and graphs. There's no need to run TensorBoard separately as it's built directly into Guild AI.
Train, evaluate, and serve your models using simple command line operations.
Guild reduces complex model operations to single commands. This makes your life easier and it also makes your models easier to use by others.
To enable Guild features, add a
Guild file to
Guild runs efficiently in the background logging CPU, GPU, and other system metrics to give you a more complete picture of model performance.