AI at the Edge, Core, and Cloud: Building GPU Clouds for the Next Era of Intelli

🛑 Important:
Please register here to join the webinar! We will host this webinar in BrightTalk.

🗒 Overview:
Scaling AI across edge, core, and cloud environments is now a top priority but also a top challenge. How do you deliver high-performance inference, maintain control over your data, and keep costs predictable across a hybrid or multi-cloud setup?

In this session, you'll learn how to design and operationalize GPU-powered infrastructure that meets enterprise-grade AI demands. Whether you're leading platform architecture or responsible for AI/ML infrastructure strategy, you'll walk away with:

• Proven patterns for building hybrid GPU clouds that support both training and inference
• A framework for balancing performance, cost, and data sovereignty
• Strategies to enable inference-as-a-service across teams and regions
• Insights into how Kubernetes-native orchestration and NVIDIA technologies can accelerate deployment at scale

Led by Senior DevOps Engineer Prashant Ramhit, this session offers actionable guidance based on real-world deployments. If you're building or scaling intelligent applications, this is a can't-miss discussion on how to do it right.

🔗 Register here
🏡 Location: Online (you’ll get the link once you register)
⏰ Date/Time: July 30th (Wed) @ 9:00 ET / 15:00 BST / 18:00 MUT
👉🏻 Speaker: Prashant Ramhit, Senior DevOps Engineer