Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Kaito
Kaito provides an operator that manages AI toolchains on Kubernetes clusters.
About Kaito
KAITO is a Kubernetes operator suite that deploys LLM inference, tuning, and retrieval-augmented generation (RAG) workloads. A Workspace resource takes a GPU instance type and Hugging Face model ID, then the controller estimates GPU memory needs, provisions GPU nodes through Karpenter APIs, and configures vLLM parameters for single-node or multi-node inference.
It also provides InferenceSet for managing workspace replicas and autoscaling from vLLM metrics with a KEDA autoscaler, InferencePool integration with Gateway API Inference Extension, and RAGEngine for LLM endpoints, embedding services, and vector databases. Currently only the vLLM engine is supported, and node provisioning requires a provisioner that supports Karpenter-core APIs.
Key features
- Deploy LLMs with Workspace CRD using model ID and GPU type
- Estimate GPU memory needs and calculate required GPU count
- Provision GPU nodes automatically through Karpenter NodePool APIs
- Autoscale workspace replicas with InferenceSet and KEDA metrics
- Manage RAG services covering LLM endpoint, embedding and vector DB
- Store models on GPU node local NVMe without extra storage
Best for: Teams running LLM inference and RAG workloads on Kubernetes clusters with GPU nodes.
Good for
- Workspace API requires only GPU type and model ID for deployment
- Supports any vLLM-supported HuggingFace models
- Uses GPU node local NVMe for model storage without extra storage
Watch out for
- Currently only the vLLM inference engine is supported
- GPU provisioning requires a provisioner supporting Karpenter-core APIs
Kaito at a glance
- Category
- Development › DevOps & Containers
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Kaito FAQ
Which models can KAITO run?
Any vLLM-supported HuggingFace models.
Which inference engine is supported?
Currently only the vLLM engine is supported, with LoRA adapters supported and KVCache offloading enabled by default.
Which vector databases does the RAG engine support?
A built-in FAISS in-memory database by default, and Qdrant or Milvus if specified.
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