Deploying LLM Workloads on Kubernetes Using WasmEdge and Kuasar

Explore the deployment of Large Language Model (LLM) workloads on Kubernetes using WasmEdge and Kuasar in this keynote presentation from the Cloud Native Computing Foundation (CNCF) conference. Discover how these innovative technologies address challenges in running LLMs, including complex package installations, GPU compatibility issues, scaling limitations, and security vulnerabilities. Learn how WasmEdge enables the development of fast, agile, resource-efficient, and secure LLM applications, while Kuasar facilitates running applications on Kubernetes with faster container startup and reduced management overhead. Witness a demonstration of running Llama3-8B on a Kubernetes cluster using WasmEdge and Kuasar as container runtimes. Gain insights into how Kubernetes enhances efficiency, scalability, and stability in LLM deployment and operations, providing valuable knowledge for developers and organizations looking to leverage the power of LLMs in cloud-native environments.

Keynote: Deploying LLM Workloads on Kubernetes by WasmEdge and Kuasar - Tianyang Zhang & Vivian Hu