Deploy LLM and Agentic Workloads on Kubernetes—Simple, Secure, and So Easy Even a 5-Year-Old Can Do It!
Aegik8s is designed to secure AI workloads on Kubernetes with its comprehensive architecture.
Deploy on a single CPU or distribute single model across multiple GPUs with ease and efficiency. Host your own LLM workloads on Kubernetes even 100s of 'em.
Deploy and manage agentic workloads with ease. AegiK8s provides a seamless experience for running autonomous agents on Kubernetes.
Easily switch between multiple Kubernetes clusters and move workloads between environments. Perfect for transitioning from dev to prod.
Built-in security features and scans ensure your workloads are protected. AegiK8s provides comprehensive security measures for your AI deployments.
Provides a comprehensive testing environment with multiple isolation levels, ensuring your workloads are thoroughly validated in a secure sandbox before deployment to production.
Comprehensive monitoring system for your AI workloads. Track performance, resource usage, and system health in real-time.
Whether you're interested in learning more about AegiK8s, want to see a live demo, or just want to chat about AI and Kubernetes, I'd love to hear from you! Drop me an email at sainath@utexas.edu 🤘 or connect with me on LinkedIn!
Hi, I'm Sainath! 🤘
I'm currently pursuing my Master's at UT Austin, and I'm exploring the intersection of AI and Kubernetes. I love food trucks and petting furry friends.
The name AegiK8s is inspired by Aegis (EE-jis), the legendary shield of Zeus and Athena in Greek mythology, symbolizing divine protection and invincibility. Just as the Aegis shield safeguarded gods and warriors, AegiK8s provides a secure, resilient, and powerful shield for deploying AI workloads on Kubernetes (K8s).
By combining "Aegis" (protection) + "K8s" (Kubernetes), AegiK8s embodies security, simplicity, and strength—ensuring that deploying and managing AI workloads is as effortless as it is secure.