TechInsights reverse engineering analysis of AWS Trainium2 in progress (www.microprocessorreport.com)

TechInsights has begun a reverse engineering analysis of the AWS Trainium2 ASIC, a vital chip used in Amazon's AI infrastructure, notably within EC2 and SageMaker. This initiative is significant as Trainium2 powers one of the largest non-GPU AI fleets globally, yet remains one of the least understood accelerators due to its exclusive availability within AWS and lack of publicly shared technical details. Despite the introduction of Trainium3, the Trainium2 chip is essential for many AI tasks, showcasing a shift in hyperscaler silicon from experimental to foundational infrastructure. The analysis will explore several technical aspects of Trainium2, including its die floorplan, power delivery mechanisms, and interconnect schemes. It aims to provide clarity on the physical design, memory usage, and performance characteristics that AWS has kept proprietary. By closing the gap between marketing specifications and tangible data, this study promises to illuminate design trade-offs and contribute to the broader understanding of custom silicon in AI applications. As findings are published, they are expected to reveal how AWS integrates compute and memory within the chip, potentially influencing future iterations like Trainium3.