Join us for an enlightening conversation with Anton Alexander, AWS's Senior Specialist for Worldwide Foundation Models, as we delve into the complexities of training and scaling large foundation models. Anton brings his unique expertise from working with the world's top model builders, along with his fascinating journey from Trinidad and Tobago to becoming a leading AI infrastructure expert.

Discover practical insights on managing massive GPU clusters, optimizing distributed training, and handling the critical challenges of model development at scale. Learn about cutting-edge solutions in GPU failure detection, checkpointing strategies, and the evolution of inference workloads. Get an insider's perspective on emerging trends like GRPO, visual LLMs, and the future of AI model development.

Don't miss this technical deep dive where we explore real-world solutions for building and deploying foundational AI models, featuring discussions on everything from low-level infrastructure optimization to high-level AI development strategies.

Learn more: http://go.aws/47yubYq

Amazon SageMaker HyperPod : https://aws.amazon.com/fr/sagemaker/ai/hyperpod/

The Llama 3 Herd of Models paper : https://arxiv.org/abs/2407.21783

Chapters:

00:00:00 : Introduction and Guest Background

00:01:18 : Anton Journey from Caribbean to AI

00:05:52 : Mathematics in AI

00:07:20 : Large Model Training Challenges

00:09:54 : GPU failures : Lama Herd of models

00:13:40 : Grey failures

00:15:05 : Model training trends

00:17:40 : Managing Mixture of Experts Models

00:21:50 : Estimate how many GPUs you need.

00:25:12 : Monitoring loss function

00:27:08 : Crashing trainings

00:28:10 : SageMaker Hyperpod story

00:32:15 : How we automate managing grey failures

00:37:28 : which metrics to optimize for

00:40:23 : Checkpointing Strategies

00:44:48 : USE Utilization, Saturation, Errors

00:50:11 : SageMaker Hyperpod for Inferencing

00:54:58 : Resiliency in Training vs Inferencing workloads

00:56:44 : NVIDIA NeMo Ecosystem and Agents

00:59:49 : Future Trends in AI

01:03:17 : Closing Thoughts

Join us as we sit down with AWS Solutions Architect Mirabela Dan for a journey into the world of generative AI for developers. Whether you're a seasoned developer or just getting started, this episode is your gateway to staying ahead in the AI revolution.

Discover: the game-changing shift from "vibe coding" to spec-driven development and learn about the latest AWS AI tools that can supercharge your productivity. Get real-world insights on how AI is reshaping the developer landscape and plan essential strategies to future-proof your development career

Don't miss this power-packed episode where we demystify the intersection of AI and modern development practices. Get ready to transform the way you build with AWS's innovative AI solutions!

Learn more: https://aws.amazon.com/ai/ and https://kiro.dev/

Connect with Mirabela: https://www.linkedin.com/in/carmenmirabeladan/

Chapters

0:00:00 : Introduction and Guest Background

0:02:48 : Mirabela's Journey at AWS

0:05:38 : Working with Different Customer Types

0:08:52 : Shift from Infrastructure to AI

0:09:35 : Evolution of Developer Role with AI

0:15:49 : Challenges in Developing with AI

0:20:06 : AI for Code Generation vs Maintenance

0:28:33 : Spec-Driven Development Approach

0:39:30 : Balancing Planning vs Rapid Delivery

0:42:23 : Kiro - AWS AI-Powered IDE

0:44:46 : MCP Integration

0:46:10 : Agent Steering and Hooks

0:54:43 : Code Transformation with AI

0:55:57 : Future of Developer Role

0:59:55 : Consuming AI/Tech Updates

1:00:17 : Personal Learning Methods

1:01:30 : Optimism for Future of Development

1:02:34 : Closing Remarks