K8s AI FAQs

Question 1

What is K8s AI?

Accepted Answer

K8s AI is a GitOps-driven solution for deploying and managing diverse AI and LLM workloads on Kubernetes, utilizing Flux CD for automated, declarative infrastructure management.

Question 2

What are the main benefits of using K8s AI for AI workloads?

Accepted Answer

K8s AI streamlines AI/LLM deployment on Kubernetes with GitOps, offering flexibility with various inference engines, interactive UIs, a GPU-ready dev workspace, and robust infrastructure management for reliable and scalable AI operations.

Question 3

Which AI inference engines are supported by K8s AI?

Accepted Answer

K8s AI supports key LLM inference engines like Ollama, llama.cpp (including full precision and quantized variants), and vLLM for high-throughput serving on Kubernetes clusters.

Question 4

How does K8s AI manage deployments and infrastructure?

Accepted Answer

K8s AI leverages GitOps with Flux CD for declarative Kubernetes management. It integrates KServe for Kubernetes-native ML serving with custom CRDs and automates the deployment of AI applications and underlying infrastructure.

Question 5

Does K8s AI include user interfaces or development environments?

Accepted Answer

Yes, it integrates web interfaces such as Open WebUI for LLM interaction and ComfyUI for Stable Diffusion. It also provides a pre-configured AI development workspace with NVIDIA GPU support for interactive AI development.

K8s AI

K8s AI

주요 기능

사용 사례

주요 기능

사용 사례