Audience
Organizations and developers requiring a solution for training large-scale deep learning and generative AI models
About Amazon EC2 Trn1 Instances
Amazon Elastic Compute Cloud (EC2) Trn1 instances, powered by AWS Trainium chips, are purpose-built for high-performance deep learning training of generative AI models, including large language models and latent diffusion models. Trn1 instances offer up to 50% cost-to-train savings over other comparable Amazon EC2 instances. You can use Trn1 instances to train 100B+ parameter DL and generative AI models across a broad set of applications, such as text summarization, code generation, question answering, image and video generation, recommendation, and fraud detection. The AWS Neuron SDK helps developers train models on AWS Trainium (and deploy models on the AWS Inferentia chips). It integrates natively with frameworks such as PyTorch and TensorFlow so that you can continue using your existing code and workflows to train models on Trn1 instances.
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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.
Learn more about Amazon EC2 Trn2 Instances
Amazon SageMaker
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers.
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BentoML
Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.
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Labelbox
The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification.
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Pricing
Starting Price:
$1.34 per hour
Integrations
Company Information
Amazon
Founded: 1994
United States
aws.amazon.com/ec2/instance-types/trn1/
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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 Trn1 Instances Frequently Asked Questions
Q: What kinds of users and organization types does Amazon EC2 Trn1 Instances work with?
Amazon EC2 Trn1 Instances works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Amazon EC2 Trn1 Instances support in their product?
Amazon EC2 Trn1 Instances supports these languages: English.
Q: What kind of support options does Amazon EC2 Trn1 Instances offer?
Amazon EC2 Trn1 Instances offers support via phone support, 24/7 live support, and online.
Q: What other applications or services does Amazon EC2 Trn1 Instances integrate with?
Amazon EC2 Trn1 Instances integrates with: Amazon EC2 G5 Instances, Amazon EC2 Inf1 Instances, Amazon EC2 P4 Instances, Amazon EC2 P5 Instances, Amazon EC2 Trn2 Instances, Amazon EC2 UltraClusters, Amazon EC2, Amazon SageMaker, AWS Deep Learning AMIs, AWS Deep Learning Containers, AWS Inferentia, AWS Neuron, AWS Nitro System, AWS Trainium, Amazon Web Services (AWS), Amazon EC2 Capacity Blocks for ML, PyTorch, and TensorFlow.
Q: What type of training does Amazon EC2 Trn1 Instances provide?
Amazon EC2 Trn1 Instances provides training in the form of documentation, webinars, in person, and videos.
Q: How much does Amazon EC2 Trn1 Instances cost?
Pricing for Amazon EC2 Trn1 Instances starts at $1.34 per hour.
