Pricing score

AWS Trainium Pricing Profile

AWS Trainium is the machine learning (ML) chip that AWS purpose built for deep learning (DL) training of 100B+ parameter models.

HQ Location

Seattle, Washington, USA

Category:

Key Takeaways

Custom ML Accelerator

AWS Trainium is a custom-built chip designed specifically for machine learning model training. It is part of the AWS Inferentia family, which focuses on accelerating AI/ML workloads. While Inferentia is optimized for inference (the stage where trained models are used for predictions), Trainium is optimized for training, making it suitable for deep learning and large-scale model training tasks.

High Performance

Trainium is designed to deliver high throughput for ML training tasks, offering significant speed improvements over general-purpose processors such as CPUs and GPUs. It provides up to 50% better performance per dollar compared to current GPUs in ML training, making it a more cost-effective option for large-scale training workloads.

Amazon EC2 Trn1 Instances

AWS Trainium is available through Amazon EC2 Trn1 instances, which are specifically optimized for training machine learning models. Trn1 instances deliver high bandwidth to Trainium chips and are designed to handle both the computation and memory bandwidth requirements of large-scale machine learning models. These instances are available in a range of configurations to meet different customer needs, from small experiments to large-scale distributed training.

Product Overview

AWS Trainium is a custom-built machine learning (ML) accelerator designed by Amazon Web Services (AWS) to optimize the training of machine learning models.

It is part of AWS’s broader strategy to provide high-performance, cost-efficient hardware for ML workloads, enabling customers to train large, complex models faster and at a lower cost than traditional processors.

Trainium has been optimized for training natural language processing, computer vision, and recommender models used in a broad set of applications, such as text summarization, code generation, question answering, image and video generation, recommendation, and fraud detection.

INSIGHTS

Our insights about AWS Trainium pricing

Free tier

Pay-as-you-go

Cost-efficient

Available Pricing Models

How much does AWS Trainium cost?

With AWS, you can get volume based discounts and realize important savings as your usage increases. For services such as S3, pricing is tiered, meaning the more you use, the less you pay per GB. AWS also gives you options to acquire services that help you address your business needs.

What users say about AWS Trainium pricing

Md A.

AWS Trainium has exceeded my expectations with its impressive performance and energy efficiency. Training deep learning models is noticeably faster, aiding in quicker development cycles. Its power efficiency is commendable, aligning well with green AI principles and cost-effectiveness. Seamless integration with other AWS services simplifies workflow, and the provided documentation and support are top-notch. AWS Trainium is a game-changer, offering outstanding capabilities for machine learning projects. Highly recommended.

Verified User in Broadcast Media

The cost is one of the factors which AWS can work on to improve. It's quite cheap by the standards but it'll be better if it is priced even lower than its competitors.

Parth s.

The accuracy for these models is highly appreciable. I will totally recommend by higher management to perform a poc for any usecase related to deep learning models.

Rishi B.

I'm very much amazed to use the Amazon cloud service and other tools , even it's very easy for me to understand and learn new things. It helps you provide a cloud service.

Aditya A.

With the new release, adapting to AWS's changes regarding Machine Learning Training and boosting performance is not easy. It is cost-efficient, and we know that very well, but providing training on AWS training to the users will be a significant ask.

Md A.

Rishi B.

I'm very much amazed to use the Amazon cloud service and other tools , even it's very easy for me to understand and learn new things. It helps you provide a cloud service.

Verified User in Broadcast Media

The cost is one of the factors which AWS can work on to improve. It's quite cheap by the standards but it'll be better if it is priced even lower than its competitors.

Aditya A.

Parth s.

The accuracy for these models is highly appreciable. I will totally recommend by higher management to perform a poc for any usecase related to deep learning models.

AWS Trainium Pricing Rating

Scalability: 4.8/5

AWS Trainium, through Trn1 instances, enables customers to scale their ML training infrastructure elastically. You can scale up or down based on the size of your training data or model, allowing you to optimize for cost and performance.

Cost Efficiency: 4.7/5

While GPUs (like NVIDIA A100 or V100) are also widely used for ML training, Trainium is positioned as a more cost-effective alternative for customers running large-scale models. It helps reduce training costs significantly, especially for resource-intensive tasks.

Performance: 4.9/5

Trainium is designed specifically for training large-scale machine learning models, making it more efficient than GPUs for such workloads. AWS claims 50% better performance per dollar than GPUs for ML training tasks.

FAQ on AWS Trainium Pricing

How does AWS Trainium differ from AWS Inferentia?

While AWS Inferentia is optimized for machine learning inference (using trained models to make predictions), AWS Trainium is optimized for training machine learning models. Trainium accelerates the training of large deep learning models, whereas Inferentia accelerates the inference process, which is typically used for deploying trained models into production environments.

What are EC2 Trn1 instances?

EC2 Trn1 instances are the Amazon Elastic Compute Cloud (EC2) instances that use AWS Trainium chips. These instances are specifically designed to deliver high performance and cost-efficient training for machine learning models. They provide the hardware infrastructure required to take full advantage of AWS Trainium.

What is the cost-effectiveness of AWS Trainium compared to other accelerators like GPUs?

AWS Trainium provides up to 50% better performance per dollar compared to traditional GPU-based instances, making it a more cost-effective option for training large models. While GPUs (such as the NVIDIA A100) are widely used for ML training, Trainium is purpose-built for training workloads, and AWS claims it delivers better cost-performance for deep learning tasks.

Can AWS Trainium be used for other workloads beyond machine learning?

AWS Trainium is specifically designed and optimized for machine learning model training, particularly for deep learning workloads. It is not intended for general-purpose computing tasks or workloads outside of machine learning.