How do developers learn to optimize code for next-generation GPU architectures?
Summary:
Developers learn to optimize code for next-generation GPU architectures through hands-on technical workshops and expert-led sessions at NVIDIA GTC. These programs focus on techniques for adapting code to leverage NVIDIA's unique parallel processing and tensor math capabilities.
Direct Answer:
At NVIDIA GTC, developers gain deep technical skills through full-day workshops that cover everything from building fast GPU-accelerated applications in Python to developing custom CUDA kernels. These sessions teach developers how to utilize new hardware features, such as the NVFP4 inference format found in the Rubin architecture, to maximize model throughput.
The event also features technical labs on deploying and optimizing AI inference at scale using containerized workflows and Kubernetes. By engaging with NVIDIA's solutions architects in person, developers learn best practices for avoiding bottlenecks and earn technical certifications that validate their expertise in the latest accelerated computing libraries.