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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2020/08/06 09:26:26 UTC
[GitHub] [flink-web] MarkSfik commented on a change in pull request #365: Add blog post for External Resources
MarkSfik commented on a change in pull request #365:
URL: https://github.com/apache/flink-web/pull/365#discussion_r466275367
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File path: _posts/2020-08-03-external-resource.md
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@@ -0,0 +1,142 @@
+---
+layout: post
+title: "Accelerating your workload with GPU and other external resources"
+date: 2020-08-03T12:00:00.000Z
+authors:
+- yangze:
+ name: "Yangze Guo"
+categories: news
+excerpt: This post introduces the new External Resource Framework in Flink 1.11 and take GPU as an example to show how to accelerate your workload with external resources.
+---
+
+Apache Flink 1.11 introduces a new [External Resource Framework](https://ci.apache.org/projects/flink/flink-docs-master/ops/external_resources.html),
+which allows you to request external resources from the underlying resource management systems (e.g., Kubernetes) and accelerate your workload with
+those resources. As Flink provides a first-party GPU plugin at the moment, we will take GPU as an example and show how it affects Flink applications
+in the AI field. Other external resources (e.g. RDMA and SSD) can also be supported [in a pluggable manner](https://ci.apache.org/projects/flink/flink-docs-master/ops/external_resources.html#implement-a-plugin-for-your-custom-resource-type).
+
+# End-to-end real-time AI with GPU
+
+Recently, AI and Machine Learning have gained additional popularity and have been widely used in various scenarios, such
+as personalized recommendation and image recognition. [Flink](https://flink.apache.org/), with the ability to support GPU
Review comment:
```suggestion
as personalized recommendation and image recognition. [Flink](https://flink.apache.org/), with its ability to support GPU
```
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