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.

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.

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

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

Be the first to know

Be the first to know