Want to know how high-performance teams are redefining software delivery speed & scalability? Join us for a high-impact session on how GPU automation is transforming CI/CD. Learn how engineering teams use Nvidia + AMD clusters to accelerate delivery, boost performance, and scale effortlessly.
Kamal is a seasoned DevOps and platform engineering leader with over 18 years of experience in building scalable, cloud-native delivery platforms. His expertise spans across CI/CD modernization, infrastructure automation, container orchestration, and GPU workload optimization. He leads large-scale engineering transformations for global enterprise clients, driving outcomes through intelligent automation and resilient DevOps pipelines.
As software delivery cycles shrink and compute demands explode, traditional CI/CD pipelines are no longer enough. Forward-thinking teams are now integrating GPU automation to push the boundaries of performance, scale, and efficiency.
Join us for a deep-dive session where we’ll break down how engineering leaders are building resilient, high availability pipelines using heterogeneous GPU clusters (Nvidia + AMD), and how this approach transforms delivery for compute-heavy applications—from AI to analytics.
Whether you’re modernizing infrastructure or scaling DevOps, this session will give you the blueprint to stay ahead.
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