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Pricing sourced from Llama Deploy · Last verified March 2026
While LlamaDeploy is optimized for LlamaIndex, it can deploy any Python service through its service abstraction. However, the most benefit comes from LlamaIndex integration.
Modal/Railway deploy individual services. LlamaDeploy adds agent-specific orchestration — service discovery, message routing, workflow management, and multi-agent coordination on top of infrastructure deployment.
Yes, LlamaDeploy works with Docker Compose for development and simpler deployments. Kubernetes is optional for production scaling.
Start with the in-memory queue for development, Redis for simple production deployments, and RabbitMQ or Kafka for high-throughput production systems.
AI builders and operators use Llama Deploy to streamline their workflow.
Try Llama Deploy Now →Modal: Serverless compute for model inference, jobs, and agent tools.
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