Ray

Ray

Anyscale
+
+

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About

Auger.AI has the most complete solution for ensuring machine learning model accuracy. Our MLRAM tool (Machine Learning Review and Monitoring) ensures your models are consistently accurate. It even computes the ROI of your predictive model! MLRAM works with any machine learning technology stack. If your ML system lifecyle doesn’t include consistent measurement of model accuracy, you’re likely losing money from inaccurate predictions. And frequent retraining of models is both expensive and, if they’re experiencing concept drift, may not fix the underlying problem. MLRAM provides value to both the data scientist and business user with features like accuracy visualization graphs, performance and accuracy alerts, anomaly detection and automated optimized retraining. Hooking up your predictive model to MLRAM is just a single line of code. We offer a free one month trial of MLRAM to qualified users. Auger.AI is the most accurate AutoML platform.

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

Companies interested in a solution for ensuring machine learning model accuracy

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 Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$200 per month
Free Version Not Supported
Free Trial 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 Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Auger.AI
Founded: 2019
United States
auger.ai/

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

PowerAI

PowerAI

Buzz Solutions

Alternatives

SparkPredict

SparkPredict

SparkCognition

Categories

Anomaly Detection Supported
Deep Learning Supported

Categories

Deep Learning Supported
Machine Learning Supported

Integrations

Amazon Web Services (AWS) Supported
Google Cloud Platform Supported
TensorFlow Supported
Amazon EC2 Trn2 Instances Not Supported
Amazon EKS Not Supported
Amazon SageMaker Not Supported
Anyscale Not Supported
Apache Airflow Not Supported
Azure Kubernetes Service (AKS) Not Supported
Dask Not Supported
Feast Not Supported
Flyte Not Supported
Google Kubernetes Engine (GKE) Not Supported
Kubernetes Not Supported
LanceDB Not Supported
MLflow Not Supported
Microsoft Azure Supported
PyTorch Not Supported
Union Cloud Not Supported
io.net Not Supported

Integrations

Amazon Web Services (AWS) Supported
Google Cloud Platform Supported
TensorFlow Supported
Amazon EC2 Trn2 Instances Supported
Amazon EKS Supported
Amazon SageMaker Supported
Anyscale Supported
Apache Airflow Supported
Azure Kubernetes Service (AKS) Supported
Dask Supported
Feast Supported
Flyte Supported
Google Kubernetes Engine (GKE) Supported
Kubernetes Supported
LanceDB Supported
MLflow Supported
Microsoft Azure Not Supported
PyTorch Supported
Union Cloud Supported
io.net Supported
Claim Auger.AI and update features and information
Claim Auger.AI and update features and information
Claim Ray and update features and information
Claim Ray and update features and information