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AWS re:Invent Special: Sagemaker with Ankur Mehrotra

Jan 9, 2024

Ankur Mehrotra, Director and GM of Amazon SageMaker, discusses the evolution of AWS SageMaker and its wide usage in various verticals. They also explore new features like foundation model evaluations and smart load-aware routing, as well as the benefits and future developments of SageMaker.

35:23

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Episode guests

Ankur Mehrotra

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Episode notes

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Quick takeaways

SageMaker HyperPod improves training efficiency with checkpointing, self-healing clusters, and reduced resource wastage.

Foundation Model Evaluations in Amazon SageMaker assist users in selecting models based on accuracy, toxicity, and bias dimensions.

Deep dives

Introducing Amazon SageMaker and its Journey

Amazon SageMaker is an AWS service for end-to-end machine learning development. It was developed based on Amazon's two-decade-long experience in machine learning and the challenges they faced. SageMaker was built to reduce the burden on developers by providing tools purpose-built for each step of the machine learning lifecycle. It offers extensive integration and solves the problem of connecting different bespoke tools. Tens of thousands of AWS customers are currently using Amazon SageMaker for their machine learning needs.

Introduction

2min

The Evolution of Amazon SageMaker

11min

Solving Infrastructure Challenges with Amazon SageMaker Hyperpod

4min

Introducing SageMaker Foundation Model Evaluations

8min

Optimizing Model Resource Consumption, Cost, and Latency with Smart Load-Aware Routing

3min

The Benefits and Future of AWS SageMaker

7min

This episode of Software Engineering Daily is part of our on-site coverage of AWS re:Invent 2023, which took place from November 27th through December 1st in Las Vegas.

In today’s interview, host Jordi Mon Companys speaks with Ankur Mehrotra who is the Director and GM of Amazon SageMaker.

Jordi Mon Companys is a product manager and marketer that specializes in software delivery, developer experience, cloud native and open source. He has developed his career at companies like GitLab, Weaveworks, Harness and other platform and devtool providers. His interests range from software supply chain security to open source innovation. You can reach out to him on Twitter at @jordimonpmm.

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