Run Flowise at 74% Lower Costs
Keep existing Flowise runtimes on dedicated CPU with persistent storage and private networking. Connect model APIs, data services, and optional GPU inference separately.
Fluence
$2.54/mo
Hetzner
$14.00/mo
DigitalOcean
$31.50/mo
AWS
$53.50/mo
Run Flowise at 74% Lower Costs
Keep existing Flowise runtimes on dedicated CPU with persistent storage and private networking. Connect model APIs, data services, and optional GPU inference separately.
Fluence
$2.54/mo
Hetzner
$14.00/mo
DigitalOcean
$31.50/mo
AWS
$53.50/mo
Built for persistent Flowise infrastructure
Give long-running Flowise services predictable compute, durable storage, and private network boundaries.
Dedicated CPU
Run Flowise main processes and Queue-mode workers on dedicated vCPU rather than shared CPU infrastructure.
Persistent storage
Keep required local state on detachable persistent volumes instead of tying it entirely to the VM lifecycle.
Private networking
Expose the Flowise endpoint publicly while keeping workers and self-managed data services inside a private VPC.
Built for persistent Flowise infrastructure
Give long-running Flowise services predictable compute, durable storage, and private network boundaries.
Dedicated CPU
Run Flowise main processes and Queue-mode workers on dedicated vCPU rather than shared CPU infrastructure.
Persistent storage
Keep required local state on detachable persistent volumes instead of tying it entirely to the VM lifecycle.
Private networking
Expose the Flowise endpoint publicly while keeping workers and self-managed data services inside a private VPC.
One stack for self-hosted Flowise agents
Run the Flowise application layer on Fluence. Keep inference, data, and third-party services explicit.
Runs on Fluence
Flowise main server Flowise worker VMs Reverse proxy Attached persistent volumes Optional self-managed PostgreSQL or Redis
Connect externally
Hosted model APIs Managed databases or vector stores Object storage Tools, webhooks, and external APIs
One stack for self-hosted Flowise agents
Run the Flowise application layer on Fluence. Keep inference, data, and third-party services explicit.
Runs on Fluence
Flowise main server Flowise worker VMs Reverse proxy Attached persistent volumes Optional self-managed PostgreSQL or Redis
Connect externally
Hosted model APIs Managed databases or vector stores Object storage Tools, webhooks, and external APIs
Bring your Flowise runtime online
Deploy through a standard VM and Docker workflow, without implying a one-click integration.
1
Provision your host
Create a Dedicated CPU instance, configure networking, and attach persistent storage where needed.
2
Deploy a pinned build
Install a pinned Flowise revision or maintained fork with Docker Compose and configure its runtime variables.
3
Connect your services
Add model APIs, PostgreSQL, Redis, workers, storage, monitoring, and other dependencies your workload requires. Setup caveat: upstream Flowise is EOL. Avoid relying on an unpinned latest build; maintenance, patching, backups, and security remain operator responsibilities.
Bring your Flowise runtime online
Deploy through a standard VM and Docker workflow, without implying a one-click integration.
1
Provision your host
Create a Dedicated CPU instance, configure networking, and attach persistent storage where needed.
2
Deploy a pinned build
Install a pinned Flowise revision or maintained fork with Docker Compose and configure its runtime variables.
3
Connect your services
Add model APIs, PostgreSQL, Redis, workers, storage, monitoring, and other dependencies your workload requires. Setup caveat: upstream Flowise is EOL. Avoid relying on an unpinned latest build; maintenance, patching, backups, and security remain operator responsibilities.
Keep Flowise compute costs visible
Price the runtime separately from AI inference and supporting services, so infrastructure savings are not confused with total operating cost.
No Fluence egress fees
Transparent daily pricing
Up to 74% lower base VM price
Note: Calculator estimates reflect only the CPU Cloud layer used for Flowise hosting.
Keep Flowise compute costs visible
Price the runtime separately from AI inference and supporting services, so infrastructure savings are not confused with total operating cost.
No Fluence egress fees
Transparent daily pricing
Up to 74% lower base VM price
Note: Calculator estimates reflect only the CPU Cloud layer used for Flowise hosting.
Flowise on dedicated CPU vs. shared hosting
Compare the infrastructure characteristics that matter to persistent Flowise servers and workers.
Criteria
Fluence
Shared VPS
CPU
Dedicated vCPU
Usually shared
Runtime control
VM-level
Usually VM-level
Storage
Persistent volumes available
Provider-dependent
Private networking
VPC + security groups
Provider-dependent
Pricing
Daily pricing
Provider-dependent
Egress
No Fluence egress fees
Provider-dependent
Flowise on dedicated CPU vs. shared hosting
Compare the infrastructure characteristics that matter to persistent Flowise servers and workers.
Fluence
Shared VPS
CPU
Dedicated vCPU
Usually shared
Runtime control
VM-level
Usually VM-level
Storage
Persistent volumes available
Provider-dependent
Private networking
VPC + security groups
Provider-dependent
Pricing
Daily pricing
Provider-dependent
Egress
No Fluence egress fees
Provider-dependent
Why run Flowise on Fluence
Predictable compute
Dedicated vCPU gives persistent Flowise application and worker processes a defined CPU allocation.
Durable state
Attach persistent storage where Flowise files or local state need to survive VM replacement.
Private services
Use VPC networking to separate public Flowise endpoints from private workers and data services.
Clearer infrastructure spend
Daily pricing and no Fluence egress fees keep the VM layer easier to account for separately.
Why run Flowise on Fluence
Predictable compute
Dedicated vCPU gives persistent Flowise application and worker processes a defined CPU allocation.
Durable state
Attach persistent storage where Flowise files or local state need to survive VM replacement.
Private services
Use VPC networking to separate public Flowise endpoints from private workers and data services.
Clearer infrastructure spend
Daily pricing and no Fluence egress fees keep the VM layer easier to account for separately.
What you can build with Flowise on Fluence
RAG knowledge assistants
Connect retrieval, embeddings, documents, and model inference into a conversational knowledge workflow.
SQL agents
Build workflows that generate, validate, execute, and retry queries against connected databases.
Human-approved workflows
Pause agent execution for human review before actions such as sending an email response.
Multi-agent research
Coordinate supervisor and worker patterns for planning, delegated research, writing, and iterative execution.
What you can build with Flowise on Fluence
RAG knowledge assistants
Connect retrieval, embeddings, documents, and model inference into a conversational knowledge workflow.
SQL agents
Build workflows that generate, validate, execute, and retry queries against connected databases.
Human-approved workflows
Pause agent execution for human review before actions such as sending an email response.
Multi-agent research
Coordinate supervisor and worker patterns for planning, delegated research, writing, and iterative execution.
Global access to cloud compute
Choose available Fluence providers and locations for the CPU layer behind your Flowise runtime.
Global access to cloud compute
Choose available Fluence providers and locations for the CPU layer behind your Flowise runtime.
FAQ
Can Flowise run on Fluence?
Is Flowise still maintained?
Can I run Flowise with Docker?
Does Flowise need a GPU?
Can I use PostgreSQL and Redis?
Show more
FAQ
Can Flowise run on Fluence?
Is Flowise still maintained?
Can I run Flowise with Docker?
Does Flowise need a GPU?
Can I use PostgreSQL and Redis?
Show more
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