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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.