+
+

Related Products

  • Runpod
    230 Ratings
    Visit Website
  • IONOS Cloud GPU Servers
    45,340 Ratings
    Visit Website
  • Compute with Hivenet
    4 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • OpenMetal
    41 Ratings
    Visit Website
  • Dragonfly
    16 Ratings
    Visit Website
  • Google Cloud Platform
    61,066 Ratings
    Visit Website
  • InMotion Hosting
    3,213 Ratings
    Visit Website
  • Servers.com by Nexcess
    15 Ratings
    Visit Website
  • Eurekos
    103 Ratings
    Visit Website

About

Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Sagemaker instances or Amazon ECS tasks, to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, PyTorch and ONNX models. Inference is the process of making predictions using a trained model. In deep learning applications, inference accounts for up to 90% of total operational costs for two reasons. Firstly, standalone GPU instances are typically designed for model training - not for inference. While training jobs batch process hundreds of data samples in parallel, inference jobs usually process a single input in real time, and thus consume a small amount of GPU compute. This makes standalone GPU inference cost-inefficient. On the other hand, standalone CPU instances are not specialized for matrix operations, and thus are often too slow for deep learning inference.

About

Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).

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

IT teams that need an advanced Infrastructure as a Service solution

Audience

Companies in need of a big data solution

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 Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not 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 Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon
Founded: 2006
United States
aws.amazon.com/machine-learning/elastic-inference/

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/databricks/

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
Amazon EMR

Amazon EMR

Amazon

Categories

Categories

Big Data Supported

Integrations

Amazon EC2 G4 Instances Supported
Amazon Web Services (AWS) Supported
Ango Hub Not Supported
Capital One Slingshot Not Supported
Dagster Not Supported
Datafold Not Supported
Datagaps ETL Validator Not Supported
Drivetrain Not Supported
Harbr Not Supported
LOGIQ Not Supported
Latitude Not Supported
Mage Sensitive Data Discovery Not Supported
ModelOp Not Supported
NLSQL Not Supported
Nucleon Database Master Not Supported
Protegrity Not Supported
PyTorch Supported
TensorFlow Supported
Tonic Ephemeral Not Supported
Union Cloud Not Supported

Integrations

Amazon EC2 G4 Instances Not Supported
Amazon Web Services (AWS) Not Supported
Ango Hub Supported
Capital One Slingshot Supported
Dagster Supported
Datafold Supported
Datagaps ETL Validator Supported
Drivetrain Supported
Harbr Supported
LOGIQ Supported
Latitude Supported
Mage Sensitive Data Discovery Supported
ModelOp Supported
NLSQL Supported
Nucleon Database Master Supported
Protegrity Supported
PyTorch Not Supported
TensorFlow Not Supported
Tonic Ephemeral Supported
Union Cloud Supported
Claim Amazon Elastic Inference and update features and information
Claim Amazon Elastic Inference and update features and information
Claim Azure Databricks and update features and information
Claim Azure Databricks and update features and information