feat(ecs): nvidia support to BottlerocketEcsVariant enum for gpu-accelerated tasks#28488
feat(ecs): nvidia support to BottlerocketEcsVariant enum for gpu-accelerated tasks#28488mergify[bot] merged 11 commits intoaws:mainfrom
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Thanks for the contribution 👍
I left some comments and suggestions.
| }); | ||
| cluster.addCapacity('bottlerocket-asg', { | ||
| minCapacity: 2, | ||
| instanceType: new ec2.InstanceType('c5.large'), |
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Don't Nvidia-based images require a GPU-based instance type?
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Certainly! I'll try it later.
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I was asking because from the Console you can deploy only with certain GPU-based instance types and it seemed strange that c5.large would deploy. Not sure if it's possible/worth validating this.
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As you mentioned, this behavior does seem odd. However, since the integration test itself was successful, does this mean that deployment is possible via CloudFormation? Just to be sure, I have switched to integration testing with instances that have GPUs. Please let me know if further verification is needed.
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I guess that CloudFormation correctly deploys the ASG but the instances will fail to launch if the instance type is incompatible with the provided AMI.
We may want to leave it to the user to provide a valid configuration (unless maintainers think otherwise).
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…lerated tasks (aws#28488) This pull request introduces a new variant, AWS_ECS_1_NVIDIA, to the BottlerocketEcsVariant enum. This addition caters to the increasing demand for GPU-accelerated computing in containerized environments, particularly for tasks that require intensive computing power, such as machine learning and 3D rendering. Closes aws#25980 ---- *By submitting this pull request, I confirm that my contribution is made under the terms of the Apache-2.0 license*
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This pull request introduces a new variant, AWS_ECS_1_NVIDIA, to the BottlerocketEcsVariant enum. This addition caters to the increasing demand for GPU-accelerated computing in containerized environments, particularly for tasks that require intensive computing power, such as machine learning and 3D rendering.
Closes #25980
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache-2.0 license