IBM Watson Machine Learning Accelerator vs. Ray Comparison


IBM Watson Machine Learning Accelerator IBM	Ray Anyscale	+	+
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About Accelerate your deep learning workload. Speed your time to value with AI model training and inference. With advancements in compute, algorithm and data access, enterprises are adopting deep learning more widely to extract and scale insight through speech recognition, natural language processing and image classification. Deep learning can interpret text, images, audio and video at scale, generating patterns for recommendation engines, sentiment analysis, financial risk modeling and anomaly detection. High computational power has been required to process neural networks due to the number of layers and the volumes of data to train the networks. Furthermore, businesses are struggling to show results from deep learning experiments implemented in silos.	About Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
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 Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Organizations that need a deep learning platform	Audience ML and AI Engineers, Software Developers
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not 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 Free Open source. Consumption-based. Free Version 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 Supported In Person Supported
Company Information IBM Founded: 1911 United States www.ibm.com/products/deep-learning-platform	Company Information Anyscale Founded: 2019 United States ray.io
Alternatives AWS Neuron Amazon Web Services	Alternatives Anyscale
AWS EC2 Trn3 Instances Amazon	Horovod
Zebra by Mipsology Mipsology	Determined AI
Runpod	Neuralhub
DeepSpeed Microsoft View All	Automaton AI View All
Categories AI Inference Supported AI/ML Model Training Supported Deep Learning Supported Machine Learning Supported	Categories Deep Learning Supported Machine Learning Supported ML Model Deployment Supported
Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Supported Statistical / Mathematical Tools Not Supported Templates Not Supported Visualization Not Supported
Integrations AUSIS Supported Amazon EC2 Trn2 Instances Not Supported Amazon EKS Not Supported Amazon SageMaker Not Supported Amazon Web Services (AWS) Not Supported Anyscale Not Supported Apache Airflow Not Supported Azure Kubernetes Service (AKS) Not Supported Feast Not Supported Google Cloud Platform Not Supported Google Kubernetes Engine (GKE) Not Supported IBM Intelligent Video Analytics Supported LanceDB Not Supported MLflow Not Supported PyTorch Not Supported Python Not Supported Snowflake Not Supported TensorFlow Not Supported Union Cloud Not Supported io.net Not Supported Show More Integrations View All 2 Integrations	Integrations AUSIS Not Supported Amazon EC2 Trn2 Instances Supported Amazon EKS Supported Amazon SageMaker Supported Amazon Web Services (AWS) Supported Anyscale Supported Apache Airflow Supported Azure Kubernetes Service (AKS) Supported Feast Supported Google Cloud Platform Supported Google Kubernetes Engine (GKE) Supported IBM Intelligent Video Analytics Not Supported LanceDB Supported MLflow Supported PyTorch Supported Python Supported Snowflake Supported TensorFlow Supported Union Cloud Supported io.net Supported Show More Integrations View All 22 Integrations
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