AWS Trainium POC

AWS Trainium chips are purpose-built by AWS to deliver high performance and cost efficiency for artificial intelligence (AI) training and inference tasks. These chips power Amazon EC2 Trn1 and Trn2 instances, offering up to 50% lower training costs compared to GPU-based instances while delivering industry-leading performance. The latest generation, Trainium2, provides up to 4x faster training performance and 3x more memory capacity than its predecessor, making it ideal for training large-scale AI models, such as foundation models (FMs) and large language models (LLMs) with trillions of parameters. With native support for popular machine learning frameworks like PyTorch and TensorFlow, Trainium enables customers to seamlessly integrate its capabilities into their workflows.

BUILDSTR empowers customers to explore the potential of AWS Trainium as a compute foundation for their AI model training. By leveraging BUILDSTR’s tools and expertise, customers can evaluate the performance gains and cost savings achieved by transitioning from their existing training infrastructure to AWS Trainium-powered instances. This capability allows organizations to optimize their AI workloads, reducing time-to-insight while maintaining operational efficiency. Whether focusing on natural language processing, computer vision, or generative AI applications, BUILDSTR helps businesses unlock the full potential of Trainium’s advanced architecture.

We take your model (or an industry standard model) and test what effects Trainium will have on training performance and cost-efficiency. We leverage a default stack and process, or we can customize to fit each customer.

• SageMaker Studio
• Jupyter Notebooks
• SageMaker Training
• Trainium Instances
• PyTorch

• Set up notebook environment
• Prepare data
• Build or modify training script
• Train model
• Evaluate performance comparison