Run LlamaIndex at 85% Lower Cost
Host LlamaIndex AI agent, RAG services, workflow APIs, and retrieval pipelines on dedicated virtual servers.
Keep your AI runtime online while your models, data stores, queues, and observability tools stay modular.
Built for LlamaIndex agent infrastructure
LlamaIndex helps teams build context-aware agents, retrieval-augmented apps, document pipelines, and tool-calling workflows. Fluence gives those workloads a compute layer for hosting the backend services that keep agents running.
Run LlamaIndex APIs, workers, webhook handlers, workflow services, and retrieval backends on Fluence infrastructure.
Power document-native workflows
Support RAG, OCR, ingestion, indexing, and external knowledge workflows with a persistent runtime layer.
Start from $9 per month
Use flat daily infrastructure pricing and zero egress fees for the Fluence compute portion of your stack.
One architecture for LlamaIndex AI agents
Host the LlamaIndex backend on Fluence while keeping inference, data, memory, queues, and monitoring connected through the services your application already uses.
LlamaIndex on Virtual Servers
LlamaIndex runtime code, agent APIs, llama-deploy workflow services, background workers, and webhook handlers run on Fluence.
External model and data stack
Connect to hosted LLM APIs, local model endpoints, vector databases, object storage, message queues, databases, and observability tools.
Choose a region, server type, storage, operating system, SSH key, and networking settings for your LlamaIndex backend.
Install dependencies, package your LlamaIndex app, and run the agent API, worker, webhook, container, or llama-deploy workflow service.
Add model APIs, vector stores, storage, queues, OpenTelemetry-compatible observability, security controls, and application backends.
Run LlamaIndex agents, RAG services, and workflow backends on Fluence compute with daily billing and zero egress fees for the hosted runtime layer.
No egress fees
Predictable compute billing
Lower always-on backend costs
Note: Calculator estimates reflect only the Virtual Server layer used for LlamaIndex hosting.
What you can build with LlamaIndex on Fluence
RAG product backends
Build APIs that retrieve from documents, indexes, and knowledge sources before responding to users or internal systems.
Common stack: LlamaIndex, FastAPI, vector stores, hosted LLM APIs
Document processing agents
Run ingestion, indexing, OCR-adjacent workflows, and retrieval services for external data systems.
Common stack: LlamaIndex ingestion, storage, vector databases, workers
Llama-deploy microservices
Host workflow services, control-plane components, message-queue runtime, and orchestration logic as modular services.
Common stack: llama-deploy, ControlPlaneServer, SimpleMessageQueue, AgentService
Multi-agent research workflows
Coordinate specialist agents for research, writing, review, summarization, and tool use.
Common stack: AgentWorkflow, FunctionAgent, ReActAgent, external tools
A global marketplace of compute
Access CPU and GPU resources for LlamaIndex runtimes from providers across regions, managed through one Fluence infrastructure layer.
FAQ
Can I run LlamaIndex on Fluence?
Is Fluence a managed LlamaIndex service?
What parts of a LlamaIndex app can Fluence host?
Do I need GPU compute for LlamaIndex?
Can I use llama-deploy on Fluence?
Can LlamaIndex on Fluence connect to external vector databases?
What costs are outside the Fluence bill?
Is Fluence suitable for production LlamaIndex deployments?
Run LlamaIndex at up to 85% lower cost
Host your LlamaIndex runtime on Fluence and
connect the model, data, retrieval, and monitoring
stack your application needs.
