Technology
KubeAI
KubeAI is the AI Inferencing Operator for Kubernetes, enabling effortless deployment and intelligent, high-performance scaling of LLMs, embeddings, and speech-to-text models.
KubeAI is your Kubernetes operator for production AI inference, purpose-built for high-performance LLMs, vector embeddings, and speech-to-text pipelines. It deploys and scales models (like vLLM and Ollama) with an OpenAI-compatible API, making it an instant drop-in for existing applications. The core innovation is its prefix-aware load balancing: this strategy optimizes the KV cache utilization, delivering dramatic improvements to Time-to-First-Token (TTFT) and overall throughput at scale. Critically, KubeAI manages scale-from-zero, autoscaling, and model caching with zero external dependencies (no Istio or Knative required), ensuring a simple, powerful, and hardware-flexible solution across CPU, GPU, and TPU resources.
What builders pair with KubeAI
Projects using both technologies. Select a pairing to see a project.
Pairing: JavaScript
Creating inference providers: regolo.ai - scalability and efficiency of GPUs, LLMOps with kubernetes
Pairing: Open Source Model
Creating inference providers: regolo.ai - scalability and efficiency of GPUs, LLMOps with kubernetes
Pairing: Python
Creating inference providers: regolo.ai - scalability and efficiency of GPUs, LLMOps with kubernetes
Pairing: vLLM
Creating inference providers: regolo.ai - scalability and efficiency of GPUs, LLMOps with kubernetes
Recent Talks & Demos
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