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pollfly
2024-01-08 16:16:34 +02:00
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parent 6802e5f5bf
commit c2a128a9b4
4 changed files with 11 additions and 11 deletions
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docs/clearml_serving/clearml_serving.md
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@@ -28,7 +28,7 @@ solution.
* Support for CPU and GPU nodes
* Auto-batching for DL models
* [Automatic deployment](clearml_serving_tutorial.md#automatic-model-deployment)
* Automatic model upgrades w/ canary support
* Automatic model upgrades with canary support
* Programmable API for model deployment
* [Canary A/B deployment](clearml_serving_tutorial.md#canary-endpoint-setup) - online Canary updates
* [Model Monitoring](clearml_serving_tutorial.md#model-monitoring-and-performance-metrics)

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docs/clearml_serving/clearml_serving_setup.md
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@@ -66,7 +66,7 @@ The following page goes over how to set up and upgrade `clearml-serving`.
cd docker && docker-compose --env-file example.env -f docker-compose-triton.yml up
```
If running on a GPU instance w/ Triton support (keras/pytorch/onnx etc.), use the triton gpu docker-compose file:
If running on a GPU instance with Triton support (keras/pytorch/onnx etc.), use the triton gpu docker-compose file:
```bash
cd docker && docker-compose --env-file example.env -f docker-compose-triton-gpu.yml up
```