You are responsible for the cost of the AWS services used while running this solution.
General |
|
Avg clicks/edits per model creation |
40 |
DynamoDB entry size (KB) / model training |
40 |
Processing Step Docker image size (GB) |
0.8 |
Avg Lambda Duration (ms)/call |
350 |
Lambda Avg Memory (MB) |
256 |
Machine Learning |
|
Processing (Feature Engineering Step) |
|
Instance Type |
ml.m5.xlarge |
Number instances / Job |
1 |
Avg Mins / Job |
10 |
Storage (MB) / Job |
200 |
|
|
Model Training Step |
|
Instance Type |
ml.m5.xlarge |
Number of instances |
1 |
Avg Mins / Job |
12 |
Storage (MB) / Job |
100 |
|
|
Inference (Endpoints) |
|
Instance Type |
ml.m5.large |
Number of instances |
1 |
Avg Mins Active / Endpoint |
60 |
Avg Model Size (MB) |
5 |
|
|
Pipeline Events |
|
Avg Number of Events / Job |
21 |
|
|
Model Training |
|
Total Number of Model Trainings/mo |
2000 |
Metadata and Model training artifacts |
Cost |
|
S3 |
$14.65 |
586GB |
DynamoDB |
$0.285 |
0.08GB |
Total |
$14.94 |
|
Per Model |
$0.0074675 |
|
Feature Engineering Step |
Cost |
|
Amazon ECR (Processing Docker Image) |
$0.08 |
1 GB/MO |
ML Storage |
$46.92 |
391GB |
Processing Job |
$96.00 |
333 Hours |
|
|
|
Model Training Step |
|
|
SageMaker Training Jobs |
$115.20 |
400 Hours |
ML Storage |
$32.93 |
195GB |
Event Triggers |
$0.04 |
42,000 Events |
Lambda Triggers From Events |
$0.07 |
42,000 Executions |
|
|
|
Inference |
|
|
Model Endpoints Active |
$288.00 |
2,000 Hours |
ML Storage |
$1.68 |
10 GB |
|
|
|
|
|
|
Total $ |
$289.79 |
|
Per Model $ |
$0.14489583 |
|
Web UI |
Cost |
|
API Gateway |
$0.34 |
80,000 Requests |
Lambda (handle requests) |
$0.13 |
80,000 Executions |
S3 Hosting |
$0.43 |
|
Total |
$0.56 |
$ 0.56 |
Monthly cost |
Fixed |
Variable |
Subtotal |
Monthly Grand Total |
$15 |
$291 |
$306 |
Per Model |
$ 0.0075000 |
$0.1455000 |
$0.1530000 |
Annual cost |
Fixed |
Variable |
Subtotal |
Annual Grand Total |
$80 |
$3,492 |
$3,672 |
Per Model |
$ 0.0900000 |
$1.7460000 |
$1.8360000 |
IMPORTANT: Prices are subject to change. For full details, refer to the pricing webpage for each AWS service you will be using in this solution.