AWS Deep Learning AMI

E814037

Amazon Machine Image cloud computing product virtual machine image

AWS Deep Learning AMI is an Amazon Web Services virtual machine image preconfigured with popular deep learning frameworks, tools, and drivers to simplify building and training machine learning models in the cloud.

Try in SPARQL Jump to: Surface forms Disambiguation Statements Elicitation Referenced by

All labels observed (2)

Label	Occurrences
Amazon Machine Image	2
AWS Deep Learning AMI canonical	1

How this entity was disambiguated

This entity first appeared as the object of triple T9674966 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: AWS Deep Learning AMI
Context triple: [MXNet, integratedInto, AWS Deep Learning AMI]

A. Amazon SageMaker
Amazon SageMaker is a fully managed cloud service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
B. Amazon Linux
Amazon Linux is a Linux distribution provided by Amazon Web Services, optimized for running applications on AWS cloud infrastructure with long-term support and security updates.
C. Amazon EMR
Amazon EMR is a managed big data platform on AWS that simplifies running large-scale data processing frameworks like Apache Hadoop and Spark on elastic cloud clusters.
D. Azure Machine Learning
Azure Machine Learning is a cloud-based service from Microsoft for building, training, deploying, and managing machine learning models at scale on Azure.
E. NVIDIA AI Workflows
NVIDIA AI Workflows are pre-built, end-to-end AI pipelines from NVIDIA that streamline the development, deployment, and scaling of AI applications across common enterprise use cases.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: AWS Deep Learning AMI
Target entity description: AWS Deep Learning AMI is an Amazon Web Services virtual machine image preconfigured with popular deep learning frameworks, tools, and drivers to simplify building and training machine learning models in the cloud.

A. Amazon SageMaker
Amazon SageMaker is a fully managed cloud service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
B. Amazon Linux
Amazon Linux is a Linux distribution provided by Amazon Web Services, optimized for running applications on AWS cloud infrastructure with long-term support and security updates.
C. Amazon EMR
Amazon EMR is a managed big data platform on AWS that simplifies running large-scale data processing frameworks like Apache Hadoop and Spark on elastic cloud clusters.
D. Azure Machine Learning
Azure Machine Learning is a cloud-based service from Microsoft for building, training, deploying, and managing machine learning models at scale on Azure.
E. NVIDIA AI Workflows
NVIDIA AI Workflows are pre-built, end-to-end AI pipelines from NVIDIA that streamline the development, deployment, and scaling of AI applications across common enterprise use cases.
F. None of above. chosen

Statements (57)

Predicate	Object
instanceOf	Amazon Machine Image ⓘ cloud computing product ⓘ virtual machine image ⓘ
category	deep learning infrastructure ⓘ machine learning infrastructure ⓘ
deploymentModel	on-demand EC2 instances ⓘ reserved EC2 instances ⓘ spot EC2 instances ⓘ
developedBy	Amazon Web Services ⓘ
distributionChannel	AWS Management Console ⓘ AWS Marketplace ⓘ
hasFeature	AWS CLI preinstalled ⓘ Amazon CloudWatch integration ⓘ Docker support ⓘ Jupyter notebook support ⓘ conda environments ⓘ optimized for NVIDIA GPUs ⓘ preconfigured deep learning frameworks ⓘ preinstalled CUDA ⓘ preinstalled GPU drivers ⓘ preinstalled cuDNN ⓘ preinstalled machine learning libraries ⓘ
includesTool	Anaconda ⓘ Git ⓘ Jupyter Notebook ⓘ JupyterLab ⓘ NVIDIA drivers ⓘ linked to: NVIDIA GPU driver
integratesWith	AWS Identity and Access Management ⓘ Amazon CloudWatch ⓘ Amazon EBS ⓘ Amazon S3 ⓘ
licenseModel	pay-as-you-go with EC2 instance pricing ⓘ
optimizedFor	NVIDIA CUDA-enabled GPUs ⓘ linked to: NVIDIA Tesla data center GPUs
partOf	Amazon Web Services ecosystem ⓘ linked to: Amazon Web Services
providedBy	Amazon Web Services ⓘ
purpose	build deep learning applications ⓘ deploy deep learning models ⓘ train machine learning models ⓘ
runsOn	Amazon EC2 GPU instances ⓘ linked to: Amazon EC2 Amazon Elastic Compute Cloud ⓘ linked to: Amazon EC2
supportsFramework	Apache MXNet ⓘ linked to: MXNet Caffe ⓘ Chainer ⓘ Gluon ⓘ Keras ⓘ PyTorch ⓘ TensorFlow ⓘ Theano ⓘ
supportsHardware	CPU ⓘ GPU ⓘ
supportsLanguage	Julia ⓘ Python ⓘ R ⓘ
useCase	computer vision model training ⓘ distributed training on multiple GPUs ⓘ natural language processing model training ⓘ reinforcement learning experiments ⓘ

How these facts were elicited

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

MXNet → integratedInto → AWS Deep Learning AMI ⓘ

AWS Marketplace → supports → Amazon Machine Image ⓘ

linked to: AWS Deep Learning AMI

Amazon Linux → distributionMethod → Amazon Machine Image ⓘ