<@U06RKAMK0UC> Why do I get this error on union se...
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@ancient-wolf-19325 Why do I get this error on union serverless?
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no node can run task 'deployment.tasks.inference_tasks.debug_gpu_task' with resource requests [cpu: 8, memory: 32Gi]
j
This error means that no available node in the Union Serverless cluster has enough resources (8 CPUs and 32Gi memory) to schedule your task. In serverless environments, resource requests must not exceed the maximum resources configured for any single node; otherwise, the task will remain unschedulable and fail with this message. You should reduce your task's resource requests to fit within the cluster's node limits or contact your administrator to confirm the maximum allowed per node (source, source). Would you like more detail on how to determine or adjust these resource limits? Sources: - Flyte Issue #6417: Task not running (but queued) when no resource meeting requirements can be found - https://www.union.ai/docs/flyte/user-guide/core-concepts/tasks/task-hardware-environment/ 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
In union serverless free tier, what is the limit?
@ancient-wolf-19325 In union serverless free tier, what is the limit?
j
It seems likely that the specific per-task resource limits (CPU, memory, GPU) for the Union Serverless free tier are not explicitly documented in the provided data sources. The documentation describes how resource requests must fit within the available node sizes, and exceeding these will result in unschedulable tasks, but it does not state the exact free tier limits (source, source). Would you like more detail on how to check or infer these limits from your environment or through the Union Console? Sources: - https://www.union.ai/docs/flyte/user-guide/core-concepts/tasks/task-hardware-environment/ - https://github.com/flyteorg/flyte/issues/6417 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.