LlamaParse Now Supports Flexible Deployments in Any Environment
According to LlamaIndex Blog: Document AI tool LlamaParse can now be deployed wherever your data lives, ranging from a fully managed SaaS to private VPCs and air-gapped data centers. Teams can choose whether to manage their own GPUs or let LlamaIndex handle inference, matching strict security and compliance needs.
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According to LlamaIndex Blog:
Deployment Options
LlamaParse offers multiple ways to run depending on your infrastructure needs. You can use the fully managed SaaS for instant setup, deploy the platform inside your own AWS, Azure, or GCP virtual private cloud via Kubernetes, or run it completely on-prem.
Inference Flexibility
Managing GPUs can be a headache, so LlamaIndex offers a hybrid approach where you control the platform and document storage, while they handle the model inference. Alternatively, teams with strict requirements can run models locally on their own hardware, even supporting air-gapped environments for maximum privacy.
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