tao-run-on-brev

This Skill automates TAO model training on remote GPU instances by using the Brev CLI to create, manage, and execute workloads. It streamlines the deployment and training of NVIDIA TAO models on Brev GPU instances.

Yes, you can run NVIDIA TAO inference jobs using the Brev CLI. The automation supports TAO model training, evaluation, and inference execution on Brev GPU instances through CLI commands.

Yes, you need Docker and an active Brev CLI login to run TAO workloads. An environment with Docker and GPU support is required to execute the TAO training, evaluation, and inference jobs.

The best way to manage Brev deployments for TAO workflows is using this Skill to automate creation, execution, and deletion of Brev instances. It handles deployment management and job submission through the Brev CLI.

This Skill handles the instance lifecycle during TAO evaluation by automating the creation, execution, and deletion of Brev GPU instances. This ensures efficient workflow management for your TAO evaluation jobs.