docs: update jcloud gpu usage (#809)

* docs: update jcloud gpu usage * chore: housekeeping * docs: commit suggestion Co-authored-by: felix-wang <35718120+numb3r3@users.noreply.github.com> * docs: add gpu yaml sample * docs: use latest gpu tag Co-authored-by: felix-wang <35718120+numb3r3@users.noreply.github.com> * docs: use latest gpu tag Co-authored-by: felix-wang <35718120+numb3r3@users.noreply.github.com>
jina-ai · Aug 30, 2022 · a5893c7 · a5893c7
1 parent 59b9f77
commit a5893c7
Showing 1 changed file with 19 additions and 6 deletions.
diff --git a/docs/hosting/on-jcloud.md b/docs/hosting/on-jcloud.md
@@ -1,9 +1,5 @@
 # Host on JCloud
 
-```{warning}
-JCloud does not support GPU hosting yet. Hence `clip_server` deployed on JCloud will be run on CPU.
-```
-
 Essentially `clip_server` is a Jina [Flow](https://docs.jina.ai/fundamentals/flow/). Any Jina Flow can be hosted on [JCloud](https://docs.jina.ai/fundamentals/jcloud/), hence `clip_server` can be hosted on JCloud as well. Learn more about [JCloud here](https://docs.jina.ai/fundamentals/jcloud/).
 
 
@@ -28,9 +24,26 @@ executors:
 
 ````
 
-Note that, `port` is unnecessary here as JCloud will assign a new URL for any deployed service. 
+```{tip}
+`port` is unnecessary here as JCloud will assign a new hostname and port for any deployed service. 
+```
+
+Executors must start with `jinahub+docker://` as it is required by JCloud. We currently provide containerized executors [`jinahub+docker://CLIPTorchEncoder`](https://hub.jina.ai/executor/gzpbl8jh) and [`jinahub+docker://CLIPOnnxEncoder`](https://hub.jina.ai/executor/2a7auwg2) on Jina Hub. They are automatically synced on the new release of `clip_server` module. 
+
+To enable GPU on JCloud, you need to configure it in the YAML file and use prebuilt docker GPU images. For example,
+
+```yaml
+jtype: Flow
+executors:
+  - uses: jinahub+docker://CLIPTorchEncoder/latest-gpu
+    jcloud:
+      resources:
+        gpu: shared
+```
 
-Executors now must start with `jinahub+docker://` as it is required by JCloud. We currently provide containerized executors [`jinahub+docker://CLIPTorchEncoder`](https://hub.jina.ai/executor/gzpbl8jh) and [`jinahub+docker://CLIPOnnxEncoder`](https://hub.jina.ai/executor/2a7auwg2) on Jina Hub. They are automatically synced on the new release of `clip_server` module. 
+Please refer [here](https://docs.jina.ai/fundamentals/jcloud/yaml-spec/#gpu) for more details on using GPU in JCloud.
+Notice that you must specify a docker image GPU tag for your executor to utilize the GPU. For example `latest-gpu`. 
+See the 'Tag' section in [CLIPTorchEncoder](https://hub.jina.ai/executor/gzpbl8jh) and [CLIPOnnxEncoder](https://hub.jina.ai/executor/2a7auwg2) for docker image GPU tags.
 
 To deploy,