MLOps & responsible AI · AWS vs Google Cloud
SageMaker Debugger & Profiler vs Agent Platform TensorBoard Profiler
SageMaker Debugger maps partly to the TensorBoard Profiler for Agent Platform custom training, which shows step time, input pipeline, and accelerator use.
Side-by-side comparison
| Aspect | Amazon Web Services | Google Cloud |
|---|---|---|
| Service | SageMaker Debugger & Profiler Maintenance | Agent Platform TensorBoard Profiler |
| Lifecycle | Debugger is in maintenance (June 30, 2026). Profiler is in sunset with end of support June 30, 2027. | Generally available |
| What it is | Training-job tensor debugging rules and system/framework profiling. | Profiles custom training jobs (step time, input pipeline, accelerator use) in managed TensorBoard. |
| Pricing model | Debugger rules ran as processing jobs (instance time). | TensorBoard has its own pricing section on the Agent Platform pricing page; you also pay for the training job. |
| Docs | SageMaker Debugger & Profiler docs | Agent Platform TensorBoard Profiler docs |
| Pricing page | SageMaker Debugger & Profiler pricing | Agent Platform TensorBoard Profiler pricing |
Key differences
- The profiler finds performance bottlenecks; it does not implement Debugger's built-in rules for problems like vanishing gradients.
- Debugger is in maintenance on AWS.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Debugger rules ran as processing jobs (instance time). SageMaker Debugger & Profiler pricing →
- GCP
- TensorBoard has its own pricing section on the Agent Platform pricing page; you also pay for the training job. Agent Platform TensorBoard Profiler pricing →
And on Azure?
No equivalent Azure has no first-party equivalent. AWS vs Azure comparison →
FAQ
What is the Google Cloud equivalent of SageMaker Debugger & Profiler?
SageMaker Debugger maps partly to the TensorBoard Profiler for Agent Platform custom training, which shows step time, input pipeline, and accelerator use.
How does pricing compare between SageMaker Debugger & Profiler and Agent Platform TensorBoard Profiler?
AWS: Debugger rules ran as processing jobs (instance time). Google Cloud: TensorBoard has its own pricing section on the Agent Platform pricing page; you also pay for the training job. Check the official pricing pages for current rates.
What is the Azure equivalent?
Azure has no first-party equivalent. Azure Machine Learning has no managed equivalent of SageMaker Debugger and Profiler.