John Lee
Principal Lead, Azure AI Infrastructure and Platforms -
MicrosoftJohn Lee is the AI Platforms and Infrastructure Principal Lead at Microsoft, where he leads a team of Artificial Intelligence (AI) Product Managers and Technical Program Managers. In this role, John and his team are responsible for defining, shaping, and delivering all current and future AI VM product offerings in Azure, supporting some of the most strategic and important customers, including OpenAI.
Before joining Microsoft, John served as the General Manager of HPC Business and Platform Strategy at Intel Corporation. Prior to that, he was the Vice President of Cluster Products at Cray, which was later acquired by HPE.
Sessions Presenting
AI supercomputing for training and inferencing
On Demand
Breakout
In Chicago + Online
Wednesday, November 20
8:30 PM - 9:15 PM Greenwich Mean Time
BRK218
In this session, we delve into optimizing AI supercomputing infrastructure for developing the world's most sophisticated AI and frontier models. We will explore the critical role of leading GPUs like the latest from NVIDIA, and the advanced network topologies Microsoft has implemented to drive unparalleled performance at scale. Gain insights on how Azure's experience can be harnessed to push the boundaries of the AI capabilities you adopt.
Community Roundtable: Board Games and Q&A with the Infrastructure Team
Session Ended
Community
In Chicago Only
Thursday, November 21
7:00 PM - 8:00 PM Greenwich Mean Time
COM1018
Join the Azure Infrastructure Ignite speakers for an exciting boardgame session, have fun while diving deeper. Topics covered in this session include OracleDatabase@Azure, AI Supercomputing and Inferencing and Azure Compute Innovations.
Azure AI to train and fine-tune custom LLMs with Distributed Training
On Demand
Breakout
In Chicago + Online
Thursday, November 21
11:00 PM - 11:45 PM Greenwich Mean Time
BRK120
Unlock the potential of custom large language models (LLMs) with Azure AI's powerful infrastructure. This session explores Azure Machine Learning and Azure AI infrastructure, including ND H100 and H200 series. Learn how to leverage distributed training to enhance scalability, performance, and efficiency. We'll cover practical techniques for optimizing LLM training workflows, ensuring you can harness the full potential of Azure AI to accelerate your AI projects.
