AWS Deep Learning AMIs vs. IBM Distributed AI APIs Comparison


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About AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data.	About Distributed AI is a computing paradigm that bypasses the need to move vast amounts of data and provides the ability to analyze data at the source. Distributed AI APIs built by IBM Research is a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud, distributed, and edge computing environments. Each Distributed AI API addresses the challenges in enabling AI in distributed and edge environments with APIs. The Distributed AI APIs do not focus on the basic requirements of creating and deploying AI pipelines, for example, model training and model serving. You would use your favorite open-source packages such as TensorFlow or PyTorch. Then, you can containerize your application, including the AI pipeline, and deploy these containers at the distributed locations. In many cases, it’s useful to use a container orchestrator such as Kubernetes or OpenShift operators to automate the deployment process.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Deep Learning solution that helps developers quickly build scalable, secure deep learning applications	Audience Developers interested in a solution offering data and AI algorithms to support their AI applications
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported
Company Information Amazon Founded: 2006 United States aws.amazon.com/machine-learning/amis/	Company Information IBM United States developer.ibm.com/apis/catalog/edgeai--distributed-ai-apis/Introduction/
Alternatives AWS Neuron Amazon Web Services	Alternatives AI/ML API
Horovod	Huawei Cloud ModelArts Huawei Cloud
Google Cloud Deep Learning VM Image Google	AWS Neuron Amazon Web Services
Fabric for Deep Learning (FfDL) IBM	DeepSpeed Microsoft
GPUonCLOUD View All	Horovod View All
Categories AI Infrastructure Supported AI/ML Model Training Supported Deep Learning Supported	Categories AI/ML Model Training Supported Artificial Intelligence (AI) APIs Supported

Integrations AWS Marketplace Supported AWS Neuron Supported Amazon EC2 G5 Instances Supported Amazon EC2 Inf1 Instances Supported Amazon EC2 P4 Instances Supported Amazon EC2 Trn1 Instances Supported Amazon EC2 Trn2 Instances Supported Amazon Web Services (AWS) Supported Kubernetes Not Supported PuppyGraph Supported PyTorch Not Supported Red Hat OpenShift Not Supported TensorFlow Not Supported Show More Integrations View All 9 Integrations	Integrations AWS Marketplace Not Supported AWS Neuron Not Supported Amazon EC2 G5 Instances Not Supported Amazon EC2 Inf1 Instances Not Supported Amazon EC2 P4 Instances Not Supported Amazon EC2 Trn1 Instances Not Supported Amazon EC2 Trn2 Instances Not Supported Amazon Web Services (AWS) Not Supported Kubernetes Supported PuppyGraph Not Supported PyTorch Supported Red Hat OpenShift Supported TensorFlow Supported Show More Integrations View All 4 Integrations
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