@ancient-wolf-19325 Is there a way I can guarantee the number of GPUs in my production environment using the flyte core helm chart?

To guarantee the number of GPUs in your production environment using the Flyte core Helm chart, you need to configure the Kubernetes cluster to have nodes with the required GPU resources and ensure that Flyte tasks request these resources appropriately. 1. Node Configuration: Ensure your Kubernetes cluster has nodes with GPUs. You can configure node pools with GPU instances, such as NVIDIA Tesla T4 or A100, depending on your requirements. The nodes should have appropriate labels and taints to manage GPU scheduling. 2. Flyte Configuration: In the Flyte core Helm chart, you can specify GPU resource requests and limits in the task configuration. Use the

gpu-resource-name

and

resource-tolerations

settings to ensure that tasks are scheduled on nodes with GPUs. For example, you can set the

gpu-resource-name

to

nvidia.com/gpu

and configure tolerations to match the taints on your GPU nodes. 3. Task Specification: When defining tasks in Flyte, use the

Resources

object to request GPUs. For example,

Resources(gpu="1")

requests one GPU for the task. Ensure that the task's resource requests align with the available GPU resources in your cluster. For more detailed guidance, refer to the Flyte documentation on configuring access to GPUs. Would you like more detail on any specific part of this process? Sources: - Flyte documentation on configuring access to GPUs 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.