# Docker Registry Paths and Example Code for Israel (Tel Aviv) (il-central-1)
Israel (Tel Aviv)

The following topics list parameters for each of the algorithms and deep learning containers that are provided by Amazon SageMaker AI in this AWS Region.

**Topics**
+ [

## AutoGluon (algorithm)
](#autogluon-il-central-1)
+ [

## BlazingText (algorithm)
](#blazingtext-il-central-1)
+ [

## DJL DeepSpeed (algorithm)
](#djl-deepspeed-il-central-1)
+ [

## Data Wrangler (algorithm)
](#data-wrangler-il-central-1)
+ [

## DeepAR Forecasting (algorithm)
](#forecasting-deepar-il-central-1)
+ [

## Factorization Machines (algorithm)
](#factorization-machines-il-central-1)
+ [

## Hugging Face (algorithm)
](#huggingface-il-central-1)
+ [

## IP Insights (algorithm)
](#ipinsights-il-central-1)
+ [

## Image classification (algorithm)
](#image-classification-il-central-1)
+ [

## Inferentia MXNet (DLC)
](#inferentia-mxnet-il-central-1)
+ [

## Inferentia PyTorch (DLC)
](#inferentia-pytorch-il-central-1)
+ [

## K-Means (algorithm)
](#kmeans-il-central-1)
+ [

## KNN (algorithm)
](#knn-il-central-1)
+ [

## Linear Learner (algorithm)
](#linear-learner-il-central-1)
+ [

## MXNet (DLC)
](#mxnet-il-central-1)
+ [

## Model Monitor (algorithm)
](#model-monitor-il-central-1)
+ [

## NTM (algorithm)
](#ntm-il-central-1)
+ [

## Neo Image Classification (algorithm)
](#image-classification-neo-il-central-1)
+ [

## Neo MXNet (DLC)
](#neo-mxnet-il-central-1)
+ [

## Neo PyTorch (DLC)
](#neo-pytorch-il-central-1)
+ [

## Neo Tensorflow (DLC)
](#neo-tensorflow-il-central-1)
+ [

## Neo XGBoost (algorithm)
](#xgboost-neo-il-central-1)
+ [

## Object Detection (algorithm)
](#object-detection-il-central-1)
+ [

## Object2Vec (algorithm)
](#object2vec-il-central-1)
+ [

## PCA (algorithm)
](#pca-il-central-1)
+ [

## PyTorch (DLC)
](#pytorch-il-central-1)
+ [

## PyTorch Neuron (DLC)
](#pytorch-neuron-il-central-1)
+ [

## PyTorch Training Compiler (DLC)
](#pytorch-training-compiler-il-central-1)
+ [

## Random Cut Forest (algorithm)
](#randomcutforest-il-central-1)
+ [

## Scikit-learn (algorithm)
](#sklearn-il-central-1)
+ [

## Semantic Segmentation (algorithm)
](#semantic-segmentation-il-central-1)
+ [

## Seq2Seq (algorithm)
](#seq2seq-il-central-1)
+ [

## Spark (algorithm)
](#spark-il-central-1)
+ [

## Tensorflow (DLC)
](#tensorflow-il-central-1)
+ [

## Tensorflow Inferentia (DLC)
](#inferentia-tensorflow-il-central-1)
+ [

## XGBoost (algorithm)
](#xgboost-il-central-1)

## AutoGluon (algorithm)
AutoGluon

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='autogluon',region='il-central-1',image_scope='inference',version='0.4')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.3.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.3.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.2.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.2.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.1.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.1.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 1.0.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 1.0.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.8.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.8.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.7.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.7.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.6.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.5.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.5.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.3 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.3 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.4.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.4.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-training:<tag> | 0.3.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/autogluon-inference:<tag> | 0.3.1 | inference | 

## BlazingText (algorithm)
BlazingText

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='blazingtext',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/blazingtext:<tag> | 1 | inference, training | 

## DJL DeepSpeed (algorithm)
DJL DeepSpeed

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='djl-deepspeed', region='us-west-2',py_version='py3',image_scope='inference')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.27.0-deepspeed0.12.6-cu121-<tag> | 0.27.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.26.0-deepspeed0.12.6-cu121-<tag> | 0.26.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.25.0-deepspeed0.11.0-cu118-<tag> | 0.25.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.24.0-deepspeed0.10.0-cu118-<tag> | 0.24.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.23.0-deepspeed0.9.5-cu118-<tag> | 0.23.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.22.1-deepspeed0.9.2-cu118-<tag> | 0.22.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117-<tag> | 0.21.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.20.0-deepspeed0.7.5-cu116-<tag> | 0.20.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/djl-inference:0.19.0-deepspeed0.7.3-cu113-<tag> | 0.19.0 | inference | 

## Data Wrangler (algorithm)
Data Wrangler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='data-wrangler',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 406833011540.dkr.ecr.il-central-1.amazonaws.com/sagemaker-data-wrangler-container:<tag> | 3.x | processing | 

## DeepAR Forecasting (algorithm)
DeepAR Forecasting

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='forecasting-deepar',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/forecasting-deepar:<tag> | 1 | inference, training | 

## Factorization Machines (algorithm)
Factorization Machines

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='factorization-machines',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/factorization-machines:<tag> | 1 | inference, training | 

## Hugging Face (algorithm)
Hugging Face

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='huggingface',region='il-central-1',version='4.4.2',image_scope='training',base_framework_version='tensorflow2.4.1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.49.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.49.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.48.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.48.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.46.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.37.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.36.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.28.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.28.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.26.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.26.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.26.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.17.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.17.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.17.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.17.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.12.3 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.12.3 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.12.3 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.12.3 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.11.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.11.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.11.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.11.0 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.10.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.10.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.10.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.10.2 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.6.1 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-inference:<tag> | 4.6.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-inference:<tag> | 4.6.1 | inference | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.5.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.5.0 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-pytorch-training:<tag> | 4.4.2 | training | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/huggingface-tensorflow-training:<tag> | 4.4.2 | training | 

## IP Insights (algorithm)
IP Insights

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ipinsights',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ipinsights:<tag> | 1 | inference, training | 

## Image classification (algorithm)
Image classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/image-classification:<tag> | 1 | inference, training | 

## Inferentia MXNet (DLC)
Inferentia MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-mxnet',region='il-central-1',version='1.5.1',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.8 | inference | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-mxnet:<tag> | 1.5.1 | inference | inf | py3 | 

## Inferentia PyTorch (DLC)
Inferentia PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-pytorch',region='il-central-1',version='1.9',py_version='py3')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.9 | inference | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.8 | inference | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-pytorch:<tag> | 1.7 | inference | inf | py3 | 

## K-Means (algorithm)
K-Means

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='kmeans',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/kmeans:<tag> | 1 | inference, training | 

## KNN (algorithm)
KNN

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='knn',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/knn:<tag> | 1 | inference, training | 

## Linear Learner (algorithm)
Linear Learner

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='linear-learner',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/linear-learner:<tag> | 1 | inference, training | 

## MXNet (DLC)
MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='mxnet',region='il-central-1',version='1.4.1',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.8.0 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.8.0 | inference | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.7.0 | training | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.7.0 | inference | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.7.0 | eia | CPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.6.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.6.0 | inference | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.5.1 | eia | CPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-training:<tag> | 1.4.1 | training | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference:<tag> | 1.4.1 | inference | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/mxnet-inference-eia:<tag> | 1.4.1 | eia | CPU | py2, py3 | 

## Model Monitor (algorithm)
Model Monitor

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='model-monitor',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 843974653677.dkr.ecr.il-central-1.amazonaws.com/sagemaker-model-monitor-analyzer:<tag> |  | monitoring | 

## NTM (algorithm)
NTM

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='ntm',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/ntm:<tag> | 1 | inference, training | 

## Neo Image Classification (algorithm)
Neo Image Classification

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='image-classification-neo',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/image-classification-neo:<tag> | latest | inference | 

## Neo MXNet (DLC)
Neo MXNet

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-mxnet',region='il-central-1',version='1.8',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-mxnet:<tag> | 1.8 | inference | CPU, GPU | py3 | 

## Neo PyTorch (DLC)
Neo PyTorch

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-pytorch',region='il-central-1',version='1.6',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 2.0 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.13 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.12 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.8 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.7 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.6 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.5 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-pytorch:<tag> | 1.4 | inference | CPU, GPU | py3 | 

## Neo Tensorflow (DLC)
Neo Tensorflow

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='neo-tensorflow',region='il-central-1',version='1.15.3',py_version='py3',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 2.9.2 | inference | CPU, GPU | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-inference-tensorflow:<tag> | 1.15.3 | inference | CPU, GPU | py3 | 

## Neo XGBoost (algorithm)
Neo XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost-neo',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/xgboost-neo:<tag> | latest | inference | 

## Object Detection (algorithm)
Object Detection

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object-detection',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object-detection:<tag> | 1 | inference, training | 

## Object2Vec (algorithm)
Object2Vec

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='object2vec',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/object2vec:<tag> | 1 | inference, training | 

## PCA (algorithm)
PCA

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pca',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/pca:<tag> | 1 | inference, training | 

## PyTorch (DLC)
PyTorch

For information about the supported and unsupported PyTorch versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch',region='il-central-1',version='1.8.0',py_version='py3',image_scope='inference', instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.7.1 | training | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.6.0 | inference | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.6.0 | training | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.5.1 | inference | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.5.1 | training | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.4.0 | inference | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.4.0 | inference\$1graviton | CPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.4.0 | training | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.3.0 | inference | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.3.0 | inference\$1graviton | CPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.3.0 | training | CPU, GPU | py311 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.2.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.2.0 | inference | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.2.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.1.0 | inference | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.1.0 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.1.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.1 | inference | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.1 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 2.0.0 | inference | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 2.0.0 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 2.0.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.13.1 | inference | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.13.1 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.1 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference-graviton:<tag> | 1.12.1 | inference\$1graviton | CPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.1 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.12.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.12.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.11.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.11.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.2 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.2 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.10.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.10.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.1 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.1 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.9.0 | inference | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.9.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.1 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.1 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.8.0 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.8.0 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.7.1 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.7.1 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.6.0 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.6.0 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.5.0 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.5.0 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.4.0 | inference | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.4.0 | training | CPU, GPU | py2, py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.3.1 | inference | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.3.1 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-inference:<tag> | 1.2.0 | inference | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training:<tag> | 1.2.0 | training | CPU, GPU | py2, py3 | 

## PyTorch Neuron (DLC)
PyTorch Neuron

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-neuron',region='us-west-2', image_scope='inference')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-training-neuron:<tag> | 1.11.0 | training | TRN | py38 | 

## PyTorch Training Compiler (DLC)
PyTorch Training Compiler

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='pytorch-training-compiler',region='us-west-2', version='py38')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.13.1 | training | GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/pytorch-trcomp-training:<tag> | 1.12.0 | training | GPU | py38 | 

## Random Cut Forest (algorithm)
Random Cut Forest

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='randomcutforest',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/randomcutforest:<tag> | 1 | inference, training | 

## Scikit-learn (algorithm)
Scikit-learn

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='sklearn',region='il-central-1',version='0.23-1',image_scope='inference')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.2-1 | 1.2.1 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 1.0-1 | 1.0.2 | inference\$1graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.23-1 | 0.23.2 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-scikit-learn:<tag> | 0.20.0 | 0.20.0 | training | 

## Semantic Segmentation (algorithm)
Semantic Segmentation

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='semantic-segmentation',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/semantic-segmentation:<tag> | 1 | inference, training | 

## Seq2Seq (algorithm)
Seq2Seq

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='seq2seq',region='il-central-1')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/seq2seq:<tag> | 1 | inference, training | 

## Spark (algorithm)
Spark

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='spark',region='il-central-1',version='3.0',image_scope='processing')
```


| Registry path | Version | Job types (image scope) | 
| --- | --- | --- | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.3 | processing | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.2 | processing | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.1 | processing | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 3.0 | processing | 
| 408426139102.dkr.ecr.il-central-1.amazonaws.com/sagemaker-spark-processing:<tag> | 2.4 | processing | 

## Tensorflow (DLC)
Tensorflow

For information about the supported and unsupported TensorFlow versions, see the [Framework Support Policy Table](https://docs.aws.amazon.com/deep-learning-containers/latest/devguide/dlc-framework-support-policy.html) in the *AWS Deep Learning Containers Developer Guide*.

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='tensorflow',region='il-central-1',version='1.12.0',image_scope='inference',instance_type='ml.c5.4xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.19.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.19.0 | training | CPU, GPU | py312 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.18.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.18.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.16.2 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.16.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.16.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.14.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.14.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.14.1 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.13.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.13.0 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.13.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.12.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.12.1 | inference\$1graviton | CPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.12.0 | training | CPU, GPU | py310 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.11.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.11.0 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.10.1 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.10.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.9.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.9.2 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-graviton:<tag> | 2.9.1 | inference\$1graviton | CPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.4 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.8.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.8.0 | training | CPU, GPU | py39 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.7.1 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.7.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.3 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.2 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.6.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.6.0 | training | CPU, GPU | py38 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.5.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.1 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.5.0 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.3 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.4.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.4.1 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.2 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.1 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.3.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.3.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.3.0 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.2 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.1 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.2.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.2.0 | training | CPU, GPU | py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.3 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.2 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.1 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.1.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.1.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.4 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.4 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.3 | training | CPU, GPU | py3, py36 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.2 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.1 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.1 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 2.0.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 2.0.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 2.0.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.5 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.5 | training | CPU, GPU | py3, py36, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.4 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.4 | training | CPU, GPU | py3, py36, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.3 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.3 | training | CPU, GPU | py2, py3, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.2 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.2 | training | CPU, GPU | py2, py3, py37 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.15.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.15.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.15.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference-eia:<tag> | 1.14.0 | eia | CPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.14.0 | inference | CPU, GPU | - | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.14.0 | training | CPU, GPU | py2, py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-training:<tag> | 1.13.1 | training | CPU, GPU | py3 | 
| 780543022126.dkr.ecr.il-central-1.amazonaws.com/tensorflow-inference:<tag> | 1.13.0 | inference | CPU, GPU | - | 

## Tensorflow Inferentia (DLC)
Tensorflow Inferentia

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='inferentia-tensorflow',region='il-central-1',version='1.15.0',instance_type='ml.inf1.6xlarge')
```


| Registry path | Version | Job types (image scope) | Processor types | Python versions | 
| --- | --- | --- | --- | --- | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 2.5.2 | inference | inf | py3 | 
| 275950707576.dkr.ecr.il-central-1.amazonaws.com/sagemaker-neo-tensorflow:<tag> | 1.15.0 | inference | inf | py3 | 

## XGBoost (algorithm)
XGBoost

The following SageMaker AI Python SDK example shows how to retrieve a specific registry path.

```
from sagemaker import image_uris
image_uris.retrieve(framework='xgboost',region='il-central-1',version='1.5-1')
```


| Registry path | Version | Package version | Job types (image scope) | 
| --- | --- | --- | --- | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.7-1 | 1.7.4 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.5-1 | 1.5.2 | inference\$1graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.3-1 | 1.3.3 | inference\$1graviton | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-2 | 1.2.0 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.2-1 | 1.2.0 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 1.0-1 | 1.0.0 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-2 | 0.90 | training | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | inference | 
| 898809789911.dkr.ecr.il-central-1.amazonaws.com/sagemaker-xgboost:<tag> | 0.90-1 | 0.90 | training |