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ease
features
design
support

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Description

AWS Deep Learning AMIs (DLAMI) offer machine learning professionals and researchers a secure and curated collection of frameworks, tools, and dependencies to enhance deep learning capabilities in cloud environments. Designed for both Amazon Linux and Ubuntu, these Amazon Machine Images (AMIs) are pre-equipped with popular frameworks like TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, enabling quick deployment and efficient operation of these tools at scale. By utilizing these resources, you can create sophisticated machine learning models for the development of autonomous vehicle (AV) technology, thoroughly validating your models with millions of virtual tests. The setup and configuration process for AWS instances is expedited, facilitating faster experimentation and assessment through access to the latest frameworks and libraries, including Hugging Face Transformers. Furthermore, the incorporation of advanced analytics, machine learning, and deep learning techniques allows for the discovery of trends and the generation of predictions from scattered and raw health data, ultimately leading to more informed decision-making. This comprehensive ecosystem not only fosters innovation but also enhances operational efficiency across various applications.

Description

Amazon EC2 Inf1 instances are specifically designed to provide efficient, high-performance machine learning inference at a competitive cost. They offer an impressive throughput that is up to 2.3 times greater and a cost that is up to 70% lower per inference compared to other EC2 offerings. Equipped with up to 16 AWS Inferentia chips—custom ML inference accelerators developed by AWS—these instances also incorporate 2nd generation Intel Xeon Scalable processors and boast networking bandwidth of up to 100 Gbps, making them suitable for large-scale machine learning applications. Inf1 instances are particularly well-suited for a variety of applications, including search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization, and fraud detection. Developers have the advantage of deploying their ML models on Inf1 instances through the AWS Neuron SDK, which is compatible with widely-used ML frameworks such as TensorFlow, PyTorch, and Apache MXNet, enabling a smooth transition with minimal adjustments to existing code. This makes Inf1 instances not only powerful but also user-friendly for developers looking to optimize their machine learning workloads. The combination of advanced hardware and software support makes them a compelling choice for enterprises aiming to enhance their AI capabilities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Neuron
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon Web Services (AWS)
AWS Deep Learning AMIs
AWS Inferentia
AWS Nitro System
AWS Trainium
Amazon EC2 Capacity Blocks for ML
Amazon EC2 Inf1 Instances
Amazon EC2 P5 Instances
Amazon EKS
Amazon Elastic Block Store (EBS)
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
MXNet
PuppyGraph
TensorFlow

Integrations

AWS Neuron
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon Web Services (AWS)
AWS Deep Learning AMIs
AWS Inferentia
AWS Nitro System
AWS Trainium
Amazon EC2 Capacity Blocks for ML
Amazon EC2 Inf1 Instances
Amazon EC2 P5 Instances
Amazon EKS
Amazon Elastic Block Store (EBS)
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
MXNet
PuppyGraph
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.228 per hour
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/machine-learning/amis/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/ec2/instance-types/inf1/

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

Alternatives

AWS Neuron Reviews

AWS Neuron

Amazon Web Services
AWS Neuron Reviews

AWS Neuron

Amazon Web Services