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Example Neuron task definitions - Amazon Elastic Container Service

Example Neuron task definitions

Managed device allocation example

The following example shows a task definition that requests all Neuron devices on the instance using the resourceRequirements parameter. This approach is only available on Managed Instances.

{ "family": "ecs-neuron", "requiresCompatibilities": ["MANAGED_INSTANCES"], "networkMode": "awsvpc", "cpu": "8192", "memory": "16384", "executionRoleArn": "${YOUR_EXECUTION_ROLE}", "containerDefinitions": [ { "name": "neuron-inference", "image": "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-vllm-inference-neuronx:0.11.0-optimum0.4.5-neuronx-py310-sdk2.26.1-ubuntu22.04", "essential": true, "command": [ "--model", "${YOUR_HUGGING_FACE_MODEL_ID}", "--port", "8080", "--tensor-parallel-size", "2", "--allow-non-cached-model" ], "portMappings": [ { "containerPort": 8080, "protocol": "tcp" } ], "resourceRequirements": [ { "type": "NeuronDevice", "value": "ALL" } ] } ] }

In this example, the container image includes a vLLM inference server optimized for AWS Neuron. The image's entrypoint downloads a model from HuggingFace, compiles it for Neuron, and starts an OpenAI-compatible API server on port 8080. Replace ${YOUR_HUGGING_FACE_MODEL_ID} with your HuggingFace model ID.

Manual device specification example

The following example shows a Linux task definition for inf1.xlarge using the EC2 launch type with linuxParameters.devices to specify Neuron device paths.

{ "family": "ecs-neuron", "requiresCompatibilities": ["EC2"], "placementConstraints": [ { "type": "memberOf", "expression": "attribute:ecs.os-type == linux" }, { "type": "memberOf", "expression": "attribute:ecs.instance-type == inf1.xlarge" } ], "executionRoleArn": "${YOUR_EXECUTION_ROLE}", "containerDefinitions": [ { "entryPoint": [ "/usr/local/bin/entrypoint.sh", "--port=8500", "--rest_api_port=9000", "--model_name=resnet50_neuron", "--model_base_path=s3://amzn-s3-demo-bucket/resnet50_neuron/" ], "portMappings": [ { "hostPort": 8500, "protocol": "tcp", "containerPort": 8500 }, { "hostPort": 8501, "protocol": "tcp", "containerPort": 8501 }, { "hostPort": 0, "protocol": "tcp", "containerPort": 80 } ], "linuxParameters": { "devices": [ { "containerPath": "/dev/neuron0", "hostPath": "/dev/neuron0", "permissions": [ "read", "write" ] } ], "capabilities": { "add": [ "IPC_LOCK" ] } }, "cpu": 0, "memoryReservation": 1000, "image": "763104351884.dkr.ecr.us-east-1.amazonaws.com/tensorflow-inference-neuron:1.15.4-neuron-py37-ubuntu18.04", "essential": true, "name": "resnet50" } ] }