What is Kimi, and How to Deploy It in an Enterprise Data Stack?

Portable K3 Inference

Run Kimi K3 with vLLM or SGLang on your own Kubernetes infrastructure, with Shakudo managing the surrounding model-serving, data, and observability stack.

Long-Context Workloads

Kimi K3's 1M-token context and hybrid Kimi Delta Attention and Gated MLA architecture make it suited to repository-scale coding, deep research, and agentic workflows. Shakudo gives teams a governed path to connect those workflows to internal data and tools.

Secure Multimodal Agents

Keep prompts, documents, images, and model traffic inside your cloud or private environment. Apply Shakudo's access controls, monitoring, and auditability around K3 deployments without tying the model to a single infrastructure provider.