Gaming Conference Sessions

Discover how Electronic Arts is advancing its AI/ML infrastructure to scale teams who can run AI, scale applications of AI, and scale the impact of AI across player experiences. We'll highlight EA’s streamlined GPU provisioning across multi-cloud and on-premises environments, centralized model management for compliance and accessibility, and rapid deployment capabilities, enabling seamless workflows that accelerate development and bring AI innovations into production with robust service level agreements.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

Learn how to use NVIDIA Nsight Graphics to profile and optimize both graphics and compute workloads, focusing on ray tracing applications. You’ll analyze GPU performance through trace data from CUDA, DirectX, and Vulkan, identifying bottlenecks at the source-code and GPU assembly levels. By mastering tools like Flame Graphs and the “top-level triage” workflow, you’ll gain the skills needed to optimize and debug shaders and compute code for maximum efficiency.

Prerequisite(s):

• Basic understanding of GPU programming (CUDA, Direct3D, or Vulkan).
• Experience with 3D graphics.
• Familiarity with GPU architecture and profiling/debugging tools.

This hands-on lab explores the creation of interactive avatar applications using the NVIDIA Tokkio pipeline, building on the next generation digital human blueprint. Participants will learn to customize the Tokkio pipeline with ACE microservices for updating the avatar character and the end-to-end web experience. By the end of this session, participants will be able to imbue their digital avatars with advanced AI capabilities, enabling more natural and informed interactions for a wide array of use cases.

Prerequisite(s):

• Basic understanding of AI and machine learning concepts.
• Having an avatar to work with and make intelligent.
• Familiarity with Python programming.