Run LangGraph at 85% Lower Cost
Deploy LangGraph agent backends on reliable, dedicated virtual servers. Run agents, APIs, workers, tools, and memory backends without hyperscaler pricing.
Fluence
$2.54/mo
Hetzner
$14.00/mo
DigitalOcean
$31.50/mo
AWS
$53.50/mo
Run LangGraph at 85% Lower Cost
Deploy LangGraph agent backends on reliable, dedicated virtual servers. Run agents, APIs, workers, tools, and memory backends without hyperscaler pricing.
Fluence
$2.54/mo
Hetzner
$14.00/mo
DigitalOcean
$31.50/mo
AWS
$53.50/mo
Built for LangGraph agent hosting
LangGraph helps developers build stateful agents, tool-calling workflows, and multi-step AI applications. Fluence gives those workloads a lower-cost compute layer with virtual servers.
Run agent backends
Host LangGraph graphs, deep agents, APIs, workers, and webhook handlers on Fluence infrastructure.
Manage state and memory
Use LangGraph backends like StateBackend, StoreBackend, and CompositeBackend for files, memory, and state.
Start from $9 per month
Keep infrastructure lean with daily billing and outbound traffic included.
Built for LangGraph agent hosting
LangGraph helps developers build stateful agents, tool-calling workflows, and multi-step AI applications. Fluence gives those workloads a lower-cost compute layer with virtual servers.
Run agent backends
Host LangGraph graphs, deep agents, APIs, workers, and webhook handlers on Fluence infrastructure.
Manage state and memory
Use LangGraph backends like StateBackend, StoreBackend, and CompositeBackend for files, memory, and state.
Start from $9 per month
Keep infrastructure lean with daily billing and outbound traffic included.
One architecture for LangGraph AI agents
Keep LangGraph agents cost-efficient by hosting the backend on a persistent Fluence Virtual Server while model execution, tools, memory, and observability stay separate.
LangGraph on Virtual Servers
LangGraph runtime, agent API, Docker runtime, webhook handlers, and background workers run on Fluence.
Connects externally
Connect LangGraph to model APIs, tool APIs, LangSmith, application backends, Postgres, Redis, and workload-specific state or memory stores.
One architecture for LangGraph AI agents
Keep LangGraph agents cost-efficient by hosting the backend on a persistent Fluence Virtual Server while model execution, tools, memory, and observability stay separate.
LangGraph on Virtual Servers
LangGraph runtime, agent API, Docker runtime, webhook handlers, and background workers run on Fluence.
Connects externally
Connect LangGraph to model APIs, tool APIs, LangSmith, application backends, Postgres, Redis, and workload-specific state or memory stores.
Get LangGraph AI running in a few steps
Launch a server, deploy your app, and connect your model stack. Install and deploy your AI agent within minutes.
1
Launch a Virtual Server
Select a location, server type, storage, operating system, SSH key, and open ports for your LangGraph backend.
2
Deploy LangGraph
Install your runtime, package your LangGraph app, and run your agent API, workers, webhooks, or Docker service on Fluence.
3
Connect externally
Connect LangGraph to model APIs, tools, LangSmith, Postgres, Redis, or other state and memory backends.
Get LangGraph AI running in a few steps
Launch a server, deploy your app, and connect your model stack. Install and deploy your AI agent within minutes.
1
Launch a Virtual Server
Select a location, server type, storage, operating system, SSH key, and open ports for your LangGraph backend.
2
Deploy LangGraph
Install your runtime, package your LangGraph app, and run your agent API, workers, webhooks, or Docker service on Fluence.
3
Connect externally
Connect LangGraph to model APIs, tools, LangSmith, Postgres, Redis, or other state and memory backends.
Save up to 85% on LangGraph hosting costs
Keep LangGraph agents running on dedicated Virtual Servers at a lower benchmark cost than traditional cloud providers, with daily billing, zero egress fees, and unlimited bandwidth included.
No hidden or surprise fees
Lower always-on backend costs
Transparent, predictable daily billing
Note: Calculator estimates reflect only the Virtual Server layer used for LangGraph hosting.
Save up to 85% on LangGraph hosting costs
Keep LangGraph agents running on dedicated Virtual Servers at a lower benchmark cost than traditional cloud providers, with daily billing, zero egress fees, and unlimited bandwidth included.
No hidden or surprise fees
Lower always-on backend costs
Transparent, predictable daily billing
Note: Calculator estimates reflect only the Virtual Server layer used for LangGraph hosting.
LangGraph AI on Fluence vs. a traditional VPS
Run LangGraph backends with the flexibility of VPS-style hosting, plus lower-cost compute, transparent pricing, and portable backend storage.
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
LangGraph AI on Fluence vs. a traditional VPS
Run LangGraph backends with the flexibility of VPS-style hosting, plus lower-cost compute, transparent pricing, and portable backend storage.
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 LangGraph
Lower always-on compute costs
Run LangGraph agents, APIs, and workers on lower-cost dedicated infrastructure with transparent daily billing.
Portable agent backends
Use LangGraph backends to keep compute separate from state, files, memory, and storage.
CPU and GPU flexibility
Run orchestration on CPU instances and use GPU Cloud for inference, vector search, or model-serving workloads.
Full infrastructure control
Choose the server, location, networking, storage, databases, and deployment stack without hyperscaler lock-in.
Why Fluence is a strong fit for LangGraph
Lower always-on compute costs
Run LangGraph agents, APIs, and workers on lower-cost dedicated infrastructure with transparent daily billing.
Portable agent backends
Use LangGraph backends to keep compute separate from state, files, memory, and storage.
CPU and GPU flexibility
Run orchestration on CPU instances and use GPU Cloud for inference, vector search, or model-serving workloads.
Full infrastructure control
Choose the server, location, networking, storage, databases, and deployment stack without hyperscaler lock-in.
What you can build with LangGraph on Fluence
LangGraph agent APIs
Expose LangGraph agents as stable APIs for products, internal tools, support workflows, or automation systems. Common stack: LangGraph, FastAPI, Docker, model APIs
Tool-calling agents
Run agents that call external APIs, trigger webhooks, process data, and coordinate multi-step workflows. Common stack: LangGraph nodes, tools, webhooks, external APIs
Stateful workflow backends
Host long-running graph workflows with persistent state, memory, files, and background execution. Common stack: LangGraph, StoreBackend, Postgres, Redis
RAG and memory agents
Build agents that retrieve documents, store context, and persist user or task memory across sessions. Common stack: LangGraph, CompositeBackend, vector stores, LangSmith
What you can build with LangGraph on Fluence
LangGraph agent APIs
Expose LangGraph agents as stable APIs for products, internal tools, support workflows, or automation systems. Common stack: LangGraph, FastAPI, Docker, model APIs
Tool-calling agents
Run agents that call external APIs, trigger webhooks, process data, and coordinate multi-step workflows. Common stack: LangGraph nodes, tools, webhooks, external APIs
Stateful workflow backends
Host long-running graph workflows with persistent state, memory, files, and background execution. Common stack: LangGraph, StoreBackend, Postgres, Redis
RAG and memory agents
Build agents that retrieve documents, store context, and persist user or task memory across sessions. Common stack: LangGraph, CompositeBackend, vector stores, LangSmith
A global marketplace of compute
Find the nearest and most cost-efficient CPU and GPU resources your agents need from top-tier providers across the globe, unified in one console.
A global marketplace of compute
Find the nearest and most cost-efficient CPU and GPU resources your agents need from top-tier providers across the globe, unified in one console.
FAQ
Can I run LangGraph on Fluence?
Is Fluence a managed LangGraph platform?
What LangGraph components can I host?
How do I expose a LangGraph API?
Which LangGraph backend should I use?
Show more
FAQ
Can I run LangGraph on Fluence?
Is Fluence a managed LangGraph platform?
What LangGraph components can I host?
How do I expose a LangGraph API?
Which LangGraph backend should I use?
Show more
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