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Example Neuron task definitions - Amazon Elastic Container Service
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

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 Amazon 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" } ] }