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メむンコンテンツにスキップAWS Startups

    Hosting DeepSeek and Open Source LLMs on AWS (Timing updated)

    Amazon Bedrock

    EC2

    生成 AI

    機械孊習

    SageMaker

    日:

    2025幎2月19日氎曜日

    時刻:

    7:00 - 8:30 GMT

    タむプ:

    オンラむン

    スピヌカヌ:

    Girish Dilip Patil | Head of Technology, GenAI, ASEAN, AWS, Yudho Ahmad Diponegoro | Sr. Solutions Architect, AWS, Kien Nguyen | Solutions Architect, AWS, Kyven Tan | Account Representative - Startups, AWS

    蚀語:

    English

    レベル:

    200 ヌ 侭箚

    むベントの詳现

    2025幎2月19日氎曜日

    7:00 - 8:30 GMT

    オンラむン

    As DeepSeek-R1 has become a trending topic due to its reasoning ability, we have heard questions on how to deploy the model or its distilled models on AWS.

    This topic is extended into how startups can deploy open source LLMs on AWS in general. This 1.5 hour session is exactly about that. Let's dive deeper into DeepSeek-R1 models, the possible ways to deploy them on AWS, and how to get started with those models on AWS including potential experimentation credits.

    Learn about deploying DeepSeek-R1 distilled models in a cost-optimized way with Scale Down to Zero on Amazon SageMaker and with Graviton4 CPU on EC2.

    Join this session to learn all this together.

    Agenda

    7:00 AM UTC

    DeepSeek-R1 Technical Deep-Dive: Architecture, model types and why it matters

    Girish Dilip Patil | Head of Technology, GenAI, ASEAN, AWS

    7:15 AM UTC

    Overview of DeepSeek-R1 & Opensource LLMs on AWS: Deployment options

    8:00 AM UTC

    Production Deployment Guide: Opensource LLMs on AWS

    8:20 AM UTC

    Next Steps: AWS Funding Programs and Partners

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