Kubernetes and AI with Steve Younger
Discover how Kubernetes is revolutionizing AI deployment, making it scalable and cost-effective for businesses of all sizes.
Peek behind the AI curtain with us on this eye-opening episode of WWT Research. I'm joined by Steve Younger, WWT's cloud-native expert, to explore how Kubernetes is quietly revolutionizing AI deployment. Forget the hype – we're digging into the real engine powering scalable, cost-effective AI.
Here's what you'll discover:
- AI's Hidden Infrastructure: Steve breaks down the crucial role of Kubernetes in orchestrating AI workloads. Even if you're new to the tech, you'll walk away with a clear understanding of how this platform keeps AI running smoothly.
- Scaling Without Breaking a Sweat: AI's appetite for resources is voracious. We explore how Kubernetes features like Horizontal Pod Autoscaling and Cluster Autoscaling allow AI workloads to grow effortlessly, ensuring performance even during demand spikes.
- Taming the GPU Beast: GPUs are AI powerhouses, but they're tricky to manage. Learn how Kubernetes, paired with NVIDIA's GPU Operator, simplifies GPU deployment. We'll also dive into fractional GPU access – a game-changer for resource optimization.
- The Hybrid Cloud Advantage: Kubernetes isn't tied to one environment. Steve illustrates how it enables AI workloads to move seamlessly between on-premises and cloud infrastructures, optimizing for performance, cost, and compliance.
- MLOps: Keeping AI Sharp: In the fast-paced world of AI, models need constant refinement. We'll show you how Kubernetes integrates with MLOps principles to create automated retraining pipelines, ensuring your AI stays cutting-edge.
This isn't just theory – we're packing the episode with real-world examples and practical insights. Whether you're an AI veteran or just starting out, you'll gain valuable knowledge to enhance your AI initiatives. Tune in as we demystify the backbone of scalable AI and equip you with the understanding to leverage Kubernetes effectively.