New RunLLM response generated: >>>*# Question* Hi! Does anyone have experience with using a GPU as part of the resources for a task? # Answer Yes, Flyte supports using GPUs as part of the resources for a task. You can specify GPU requirements in the task declaration using the

Resources

parameter in Flytekit. For example, you can request a GPU by setting

requests=Resources(gpu="1")

and

limits=Resources(gpu="1")

in the task decorator. This ensures that the task is scheduled on a node with an available GPU. It's important to ensure that your Flyte backend has GPU nodes provisioned for this to work effectively (source). Would you like more detail on how to configure this or any specific aspect of using GPUs with Flyte? Sources: - https://github.com/flyteorg/flytesnacks/blob/master/examples/mnist_classifier/README.md Slack Link https://.slack.com/archives/CP2HDHKE1/p1731233132.373809 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.