AWS Trainium2 for breakthrough AI training and inference performance-CMP333-NEW

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Scaling AI with AWS Trainium 2

Key Trends in Generative AI

  • AI, including generative AI and deep learning, has the potential to be a technological transformation as big as the internet.
  • AI can complete a broad range of tasks much faster, increasing productivity by 10x, 100x, or even 1000x.
  • This new wave of AI capabilities is driving innovation across the entire AWS generative AI stack.

AWS AI Infrastructure

  • AWS provides a comprehensive AI infrastructure stack, including:
    • Applications like Amazon Lex for boosting productivity
    • Tools like Amazon Bedrock for working with large language models
    • Compute options like AWS Trainium and Trainium 2 instances for training and inference
  • AWS has designed its own silicon, Trainium and Trainium 2, to deliver better performance, cost-efficiency, and power efficiency.
  • Trainium and Trainium 2 instances have powered AI innovation at Amazon and for a wide range of customers.

Scaling Compute for Frontier Models

  • Scaling model size, data, and compute leads to improved overall intelligence, new capabilities, and predictable improvements in loss.
  • Recent AI models have required up to 10^25 FLOPS of training compute, equivalent to 16,000 H100 GPUs training for 70 days.
  • To address this scaling challenge, AWS is launching Trainium 2 instances, offering 30% more compute and 25% more high-bandwidth memory (HBM) than the previous generation, at a lower price.

Building Trainium 2

  • Trainium 2 was designed around five pillars: high performance, cost-efficiency, scalability, reusability, and innovation.
  • Performance is driven by a balance of FLOPS, memory bandwidth, memory capacity, and interconnect bandwidth.
  • Cost-efficiency is achieved through optimizations like vertical power delivery and efficient systolic array-based compute.
  • Scalability is enabled by a simple, modular, and robust server design with high automation.
  • Innovation features include support for 4:8 sparsity, optimized mixture of experts, and the Neuron Kernel Interface (NKI) for low-level hardware programming.

Collaboration with Anthropic

  • AWS is partnering with Anthropic, a leading AI research lab, to build a massive Trainium 2 training cluster called Project Reineer.
  • Anthropic is betting on Trainium 2 for fast, low-latency inference of its Chatbot model Claude, as well as for training large-scale foundation models.
  • The collaboration leverages Trainium 2's performance, scalability, and programmability to support Anthropic's cutting-edge AI research and development.

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