Audience

Companies in search of a solution to train their large-scale deep learning and generative AI models

About Amazon EC2 Trn2 Instances

Amazon EC2 Trn2 instances, powered by AWS Trainium2 chips, are purpose-built for high-performance deep learning training of generative AI models, including large language models and diffusion models. They offer up to 50% cost-to-train savings over comparable Amazon EC2 instances. Trn2 instances support up to 16 Trainium2 accelerators, providing up to 3 petaflops of FP16/BF16 compute power and 512 GB of high-bandwidth memory. To facilitate efficient data and model parallelism, Trn2 instances feature NeuronLink, a high-speed, nonblocking interconnect, and support up to 1600 Gbps of second-generation Elastic Fabric Adapter (EFAv2) network bandwidth. They are deployed in EC2 UltraClusters, enabling scaling up to 30,000 Trainium2 chips interconnected with a nonblocking petabit-scale network, delivering 6 exaflops of compute performance. The AWS Neuron SDK integrates natively with popular machine learning frameworks like PyTorch and TensorFlow.

Integrations

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Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/ec2/instance-types/trn2/

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online

Amazon EC2 Trn2 Instances Frequently Asked Questions

Q: What kinds of users and organization types does Amazon EC2 Trn2 Instances work with?
Q: What languages does Amazon EC2 Trn2 Instances support in their product?
Q: What kind of support options does Amazon EC2 Trn2 Instances offer?
Q: What other applications or services does Amazon EC2 Trn2 Instances integrate with?
Q: What type of training does Amazon EC2 Trn2 Instances provide?

Amazon EC2 Trn2 Instances Product Features

Deep Learning

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

Machine Learning

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