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.
Fluence
$2.54/mo
Hetzner
$14.00/mo
DigitalOcean
$31.50/mo
AWS
$53.50/mo
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.
Fluence
$2.54/mo
Hetzner
$14.00/mo
DigitalOcean
$31.50/mo
AWS
$53.50/mo
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.
Host agent services
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.
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.
Host agent services
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.
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.
Get LlamaIndex AI running in a few steps
Provision compute, deploy your backend, and connect the model and retrieval layers. Use Fluence for the runtime while keeping your LlamaIndex application stack portable.
1
Launch a Virtual Server
Choose a region, server type, storage, operating system, SSH key, and networking settings for your LlamaIndex backend.
2
Deploy LlamaIndex
Install dependencies, package your LlamaIndex app, and run the agent API, worker, webhook, container, or llama-deploy workflow service.
3
Connect the stack
Add model APIs, vector stores, storage, queues, OpenTelemetry-compatible observability, security controls, and application backends.
Get LlamaIndex AI running in a few steps
Provision compute, deploy your backend, and connect the model and retrieval layers. Use Fluence for the runtime while keeping your LlamaIndex application stack portable.
1
Launch a Virtual Server
Choose a region, server type, storage, operating system, SSH key, and networking settings for your LlamaIndex backend.
2
Deploy LlamaIndex
Install dependencies, package your LlamaIndex app, and run the agent API, worker, webhook, container, or llama-deploy workflow service.
3
Connect the stack
Add model APIs, vector stores, storage, queues, OpenTelemetry-compatible observability, security controls, and application backends.
Save up to 85% on LlamaIndex hosting costs
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.
Save up to 85% on LlamaIndex hosting costs
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.
LlamaIndex AI on Fluence vs. a traditional VPS
Use Fluence when you want VPS-style backend control with decentralized compute access, optional GPU resources, and a cleaner separation between runtime and the rest of the AI stack.
Key factor
Fluence
Traditional VPS
Cost model
Daily billing with transparent pricing
Monthly plans, fixed tiers, and possible add-on fees
Agent hosting
Runs LangGraph agents, APIs, workers, and backends on dedicated compute
Runs APIs, workers, and services like a standard server
State and memory
Uses LangGraph backends for state, files, and durable memory
Usually tied to local disk or external databases
Portability
Agent logic stays portable across infrastructure
Migration depends on provider setup
GPU access
CPU and GPU options for AI workloads
Often limited or expensive
Best for
Stateful agents, tool workflows, RAG, and multi-agent systems
General web apps and simple backends
LlamaIndex AI on Fluence vs. a traditional VPS
Use Fluence when you want VPS-style backend control with decentralized compute access, optional GPU resources, and a cleaner separation between runtime and the rest of the AI stack.
Fluence
Traditional VPS
Cost model
Daily billing with transparent pricing
Monthly plans, fixed tiers, and possible add-on fees
Agent hosting
Runs LangGraph agents, APIs, workers, and backends on dedicated compute
Runs APIs, workers, and services like a standard server
State and memory
Uses LangGraph backends for state, files, and durable memory
Usually tied to local disk or external databases
Portability
Agent logic stays portable across infrastructure
Migration depends on provider setup
GPU access
CPU and GPU options for AI workloads
Often limited or expensive
Best for
Stateful agents, tool workflows, RAG, and multi-agent systems
General web apps and simple backends
Why Fluence is a strong fit for LlamaIndex
Persistent backend hosting
Keep LlamaIndex APIs, workers, and workflow services online on compute you control.
Designed for RAG-heavy systems
LlamaIndex fits document workflows, OCR pipelines, retrieval, and external knowledge applications.
CPU-first, GPU-optional
Run orchestration and retrieval on CPU, then add GPU containers only for local inference or heavier ML workloads.
Stack flexibility
Bring your own model APIs, vector stores, storage, queues, observability, and security controls without making Fluence the whole platform.
Why Fluence is a strong fit for LlamaIndex
Persistent backend hosting
Keep LlamaIndex APIs, workers, and workflow services online on compute you control.
Designed for RAG-heavy systems
LlamaIndex fits document workflows, OCR pipelines, retrieval, and external knowledge applications.
CPU-first, GPU-optional
Run orchestration and retrieval on CPU, then add GPU containers only for local inference or heavier ML workloads.
Stack flexibility
Bring your own model APIs, vector stores, storage, queues, observability, and security controls without making Fluence the whole platform.
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
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.
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?
Show more
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?
Show more
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