LlamaIndex Enables Self-Hosting of LlamaParse on AWS, Azure, GCP, or Kubernetes

·2026.11.05 09:00

Key point

Enterprise users can deploy LlamaParse in their own AWS, Azure, Google Cloud, or Kubernetes environments, with flexible options for managing model inference.

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Details

LlamaParse supports self-hosting on AWS, Azure, Google Cloud, or Kubernetes in data centers, available exclusively on Enterprise plans.
Deployment uses a Helm chart to install the web UI, REST API, and processing workers, with source documents and outputs stored in the user's object storage.
Inference can be managed by LlamaIndex (using AWS PrivateLink on AWS), routed to existing model providers via user credentials, or run on local GPUs for OCR, layout, and document models.
Parse Cost-Effective and Agentic modes maintain quality parity between local and managed inference, while Extract and Agentic Plus modes rely on frontier models that may require external providers.

aws azure google-cloud llamaindex document-parsing kubernetes self-hosting llamaparse

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