Alibaba Cloud PAI-DLC
Alibaba CloudManaged distributed training service in Alibaba Cloud's Platform for AI. Jobs are submitted as typed distributed training workloads - PyTorch, TensorFlow and others - onto resource quotas backed by GPU instances, and the service manages their queued, running and terminal states for the life of the run.
Openness
1 high confidence- license
- Proprietary
- service
- proprietary(Alibaba Cloud managed service)
- source
- closed(no implementation is published)
A managed Alibaba Cloud service. Nothing about the orchestration implementation is published and it cannot be self-hosted.
- https://www.alibabacloud.com/help/en/pai/user-guide/overview-of-dlc recorded 2026-09-15
Alibaba Cloud's own Deep Learning Containers overview, describing the managed distributed training service and its job types. Establishes a managed service with no published implementation.
Adoption
not assessedNo usage figure is published for this service specifically, and it publishes no countable artifact - no package, repository or registry entry - so no level is assigned rather than one being inferred from the parent platform.
- https://www.alibabacloud.com/help/en/pai/user-guide/overview-of-dlc recorded 2026-09-15
The PAI-DLC overview page, read for a usage disclosure; it publishes none.
Capability
3 medium confidencePAI-DLC names training job types directly rather than treating a job as a generic unit of work, and it tracks each job's queued, running and terminal states against its resource quotas. Alibaba Cloud's documentation does not show PAI-DLC's own scheduler choosing which machines a job runs on, which keeps it level with Amazon SageMaker AI Pipelines.
- https://www.alibabacloud.com/help/en/pai/user-guide/overview-of-dlc recorded 2026-09-15
Alibaba Cloud's PAI-DLC overview describing distributed training job types and the resource quotas they run against.
Verified 2026-09-15