ecs-genai

ecs-genai is an MLOps & model serving skill for AI agents, published by aws-samples in the sample-apex-skills repository on GitHub. Skillspace rates ecs-genai C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Use whenever someone runs a GPU / ML / GenAI / LLM workload on Amazon ECS: GPU on ECS, ECS GPU-optimized AMI, g4dn/g5/g6/p4/p5 on ECS, which ECS launch type for GPU, Inferentia/Trainium/Neuron on ECS, distributed training, model inference or vLLM/Triton/TGI/Ray on ECS, Capacity Blocks, GPU sharing, ASG per GPU type. Covers GPU on ECS-on-EC2 and ECS Managed Instances (GPU AMIs, NVIDIA runtime, instance families); mixed-instance ASGs supported but constrained (no weighting; managed scaling protects on the smallest type); Capacity Blocks; inference/serving; Neuron; distributed ML; GPU observability; a GPU/ML security slice (PCI/HIPAA). AWS Fargate has NO GPU: use ECS-on-EC2, Managed Instances, ECS Anywhere, or keep Fargate and call Bedrock. Trigger even if GenAI is unsaid. Use eks-genai for Kubernetes/EKS; SageMaker for fully-managed ML; Bedrock for managed foundation models; ecs-architect for non-accelerator ECS design; ecs-build to render the settled design as Terraform; ecs-security…

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

35

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