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借助 AWS Trainium 突破 AI 性能和成本瓶颈.pdf

上传人: 明**** 编号:1012751 2025-12-21 64页 2.37MB

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.A I M 2 0 1Breakthrough AI Performance and Cost Barriers with AWS TrainiumColin BraceVice President,Neuron Annapurna Labs,AWSJoe RowellFounding Engineer poolsideOria

2、n LeitersdorfChief ScientistDecart AI 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What will be driving AI in 2026?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What will be driving AI in 20

3、26?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What will be driving AI in 2026?AGENTIC AI AGENTS IS A TECTONIC SHIFT FOR HOW WE BUILD,DEPLOY AND INTERACT WITH AI 40%of enterprise apps will be integrated with task-specific AI agents by the end of 2026,up from less than 5%todayE

4、xample:CodingGartner,2025Challenge:How to scale to meet the token generation demands of Agentic AI applications?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Domain Specific Models build for specific applications,private data or personalized to the individual Lower Training Cost

5、Post-training rather than pre-training models can reduce the cost by up to 80%What will be driving AI in 2026?HIGHER DEMAND FOR DOMAIN SPECIFIC MODELS PRODUCED BY MORE EFFICIENT POST TRAINING TECHNIQUESChallenge:Post-Training techniques like RHLF require high performance training and inference 2025,

6、Amazon Web Services,Inc.or its affiliates.All rights reserved.High performance token generationYou will needLow latency token generationEasily accessible,cost-efficient acceleratorsAbility to scale to meet the demand 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.You will needAWS

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根据报告的内容,全文主要内容概括如下: - **AI发展趋势**:到2026年,40%的企业应用将集成特定任务的AI代理,需求增长。 - **技术挑战**:如何满足Agentic AI应用的代币生成需求,降低训练成本。 - **AWS Trainium**:AWS Trainium芯片专为高性能、低延迟、成本效益的加速器设计,旨在解决这些挑战。 - **性能提升**:Trainium3相比Trainium2,性能提升6倍,内存带宽提升3.9倍。 - **应用案例**:Decart AI使用Trainium3实现实时视频处理,提高观看时间和用户参与度。 - **未来展望**:AWS Trainium4将提供更高的内存带宽和性能,支持下一代AI模型训练和推理。
2026年驱动因素" AI加速新纪元" AI开发新利器"
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