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There is nothing special to submit a Pod except the description of GPU resource is no longer 1
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. The GPU
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resources are described as that 100 `tencent.com/vcuda-core` for 1 GPU and N `tencent.com/vcuda
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-memory` for GPU memory (1 tencent.com/vcuda-memory means 256Mi
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GPU memory). And because of the limitation of extend resource validation of Kubernetes, to support
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GPU utilization limitation, you should add `tencent.com/vcuda-core-limit: XX` in the annotation
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field of a Pod.
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**Notice: the value of `tencent.com/vcuda-core` is either the multiple of 100 or any value
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smaller than 100.For example, 100, 200 or 20 is valid value but 150 or 250 is invalid**
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- Submit a Pod with 0.3 GPU utilization and 7680MiB GPU memory with 0.5 GPU utilization limit
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change --incluster-mode from `false` to `true`, change image field to `<your repository>/public/gpu-manager:latest`, add serviceAccount filed to `gpu-manager-role`
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