If the sushi restaurant offers 50 different menu items, there will be at least 50 different workflows. Here we see multiple roles with different expertise, required to accomplish various tasks in order to complete the end goal. Only after each chef has completed their task can a master sushi chef assemble the roll. One is preparing the fish, the next is carefully slicing vegetables, the third is making the rice (cooking, washing, seasoning), and the fourth is toasting the nori over an open flame. In the kitchen, there are several chefs working on various tasks to prepare your sushi. To provide an analogy, imagine you are at your favorite sushi restaurant, and you place an order for your favorite roll. Workflow management can provide invaluable support for reaching the final outcome, particularly in complex situations. For a simple workflow, many people complete various tasks, some are related or dependent upon each other, while others are completely independent. It streamlines your workflow by making sure that everything is completed correctly and efficiently.Ī business often has a BizOps team, MLOps team, and DevOps team working on various tasks to reach a given goal. It accomplishes this by creating, documenting, and monitoring all steps required to complete necessary tasks. Workflow management enables you to connect and manage all tasks in a pipeline. What is workflow management and why is it important? This example uses Apache Airflow, which comes with a rich open-source community, is well established, and widely adopted. What steps should you take? Use workflow management to integrate NVIDIA Base Command into your existing pipeline.Ī workflow manager enables you to easily manage your pipelines, and connect to Base Command to leverage NVIDIA compute power. So, you have a ton of data pipelines today and are considering investing in GPU acceleration through NVIDIA Base Command Platform.
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