+
+

Related Products

  • Vertex AI
    827 Ratings
    Visit Website
  • RunPod
    205 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • Google Compute Engine
    1,155 Ratings
    Visit Website
  • LM-Kit.NET
    24 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • Gr4vy
    5 Ratings
    Visit Website
  • StackAI
    49 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website

About

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.

About

Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Enterprises in search of a solution to build machine learning models efficiently

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/build/

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
AWS Trainium

AWS Trainium

Amazon Web Services
Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth

Amazon Web Services

Categories

Categories

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
PyTorch
TensorFlow
AWS Deep Learning AMIs
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 UltraClusters
Amazon Elastic Container Service (Amazon ECS)
Datadog
Domino Enterprise MLOps Platform
GitHub
Google Cloud AutoML
Hugging Face
Jupyter Notebook
Python
R
Ray

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
PyTorch
TensorFlow
AWS Deep Learning AMIs
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 UltraClusters
Amazon Elastic Container Service (Amazon ECS)
Datadog
Domino Enterprise MLOps Platform
GitHub
Google Cloud AutoML
Hugging Face
Jupyter Notebook
Python
R
Ray
Claim Amazon EC2 Trn2 Instances and update features and information
Claim Amazon EC2 Trn2 Instances and update features and information
Claim Amazon SageMaker Model Building and update features and information
Claim Amazon SageMaker Model Building and update features and information