Terraform for Physical AI: Edge and Robotics Backends on AWS
Provision Physical AI infrastructure with Terraform: edge-cloud backends, robotics telemetry, IoT ingestion, and low-latency compute zones.
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Provision humanoid robotics infrastructure with Terraform: fleet management, OTA updates, simulation clusters, logging, maps, and robotics APIs.
Humanoid and service robotics went from research demo to commercial pilot in 2025–2026. Companies operating fleets of humanoid robots in warehouses, retail, and hospitality need a cloud control plane: fleet inventory, OTA firmware, log capture, simulation, and high-definition maps. Terraform makes that control plane reproducible.
This guide shows how to provision a humanoid-robotics fleet backend on AWS.
| Component | AWS service |
|---|---|
| Fleet registry | DynamoDB |
| Robotics APIs | API Gateway + Lambda |
| Simulation | EC2 GPU spot fleets, AWS Batch |
| Maps / SLAM tiles | S3 + CloudFront |
| Log ingestion | Kinesis Firehose → S3 |
| OTA updates | IoT Jobs |
| Observability | CloudWatch + OpenSearch |
resource "aws_dynamodb_table" "robots" {
name = "robots"
billing_mode = "PAY_PER_REQUEST"
hash_key = "robot_id"
attribute {
name = "robot_id"
type = "S"
}
attribute {
name = "site"
type = "S"
}
global_secondary_index {
name = "by-site"
hash_key = "site"
projection_type = "ALL"
}
point_in_time_recovery { enabled = true }
}resource "aws_apigatewayv2_api" "robots" {
name = "robots-api"
protocol_type = "HTTP"
}
resource "aws_lambda_function" "dispatch" {
function_name = "robot-dispatch"
role = aws_iam_role.dispatch.arn
package_type = "Image"
image_uri = "${aws_ecr_repository.dispatch.repository_url}:${var.dispatch_tag}"
timeout = 15
memory_size = 1024
environment {
variables = {
ROBOT_TABLE = aws_dynamodb_table.robots.name
IOT_ENDPOINT = data.aws_iot_endpoint.data.endpoint_address
}
}
}resource "aws_iot_job" "humanoid_firmware_v8" {
job_id = "humanoid-firmware-v8"
targets = [aws_iot_thing_group.humanoid_fleet.arn]
document = jsonencode({
operation = "ota_update"
url = "s3://${aws_s3_bucket.firmware.bucket}/humanoid/v8.bin"
sha256 = var.firmware_sha256
size = var.firmware_size
rollback = "v7"
})
job_executions_rollout_config {
maximum_per_minute = 10
exponential_rate {
base_rate_per_minute = 5
increment_factor = 2
rate_increase_criteria {
number_of_succeeded_things = 50
}
}
}
abort_config {
criteria_list {
action = "CANCEL"
failure_type = "FAILED"
min_number_of_executed_things = 20
threshold_percentage = 10
}
}
}resource "aws_batch_compute_environment" "sim" {
compute_environment_name = "humanoid-sim"
type = "MANAGED"
service_role = aws_iam_role.batch.arn
compute_resources {
type = "SPOT"
allocation_strategy = "SPOT_CAPACITY_OPTIMIZED"
bid_percentage = 60
instance_type = ["g5.4xlarge", "g5.8xlarge"]
min_vcpus = 0
desired_vcpus = 0
max_vcpus = 512
subnets = var.private_subnet_ids
security_group_ids = [aws_security_group.batch.id]
instance_role = aws_iam_instance_profile.batch.arn
}
}
resource "aws_batch_job_queue" "sim" {
name = "humanoid-sim"
state = "ENABLED"
priority = 10
compute_environment_order {
order = 1
compute_environment = aws_batch_compute_environment.sim.arn
}
}resource "aws_s3_bucket" "maps" {
bucket = "acme-humanoid-maps"
}
resource "aws_cloudfront_distribution" "maps" {
enabled = true
default_root_object = "index.json"
origin {
domain_name = aws_s3_bucket.maps.bucket_regional_domain_name
origin_id = "maps-origin"
origin_access_control_id = aws_cloudfront_origin_access_control.maps.id
}
default_cache_behavior {
target_origin_id = "maps-origin"
viewer_protocol_policy = "redirect-to-https"
allowed_methods = ["GET", "HEAD"]
cached_methods = ["GET", "HEAD"]
cache_policy_id = data.aws_cloudfront_cache_policy.optimized.id
}
restrictions {
geo_restriction { restriction_type = "none" }
}
viewer_certificate {
cloudfront_default_certificate = true
}
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