Run AI agents at
80% lower cost

The optimized infrastructure layer for autonomous systems. Host agent logic on affordable CPU Virtual Servers and route inference to high-performance GPUs. All with zero egress fees.

  • nodes.garden

  • nodes.garden

Why Fluence for AI agents

Fluence provides the infrastructure primitives needed to run agents reliably without stitching together multiple compute products.

Agent logic (CPU)

Host long-running orchestration, tool routing, memory, and APIs on standard Linux Virtual Servers. Low cost, always on.

Host long-running orchestration, tool routing, memory, and APIs on standard Linux Virtual Servers. Low cost, always on.

On-demand inference (GPU)

Connect your agents to GPU containers only when needed. Serve models yourself to reduce API costs and latency.

No vendor lock-In  

Deploy across Tier-3/4 datacenters globally. Mix and match providers, regions, and hardware to ensure redundancy.

Deploy across Tier-3/4 datacenters globally. Mix and match providers, regions, and hardware to ensure redundancy.

Zero egress fees  

Agents move a lot of data. We don't tax it. Enjoy unlimited bandwidth and simple flat-rate pricing (Daily for CPUs, hourly for GPUs).

Running AI agents on Fluence vs Centralized cloud

Running AI agents on Fluence vs Centralized cloud

Feature

Big cloud

Fluence

Pricing

Complex plans

and add ons

Simple daily and hourly rates

Bandwidth

Metered with egress fees

Unlimited with zero egress fees

Control

Tied to one provider stack

Multiple providers and locations

Deployment

Fragmented services

Fluence API for provisioning and management

Pricing

Complex plans

and add ons

Simple daily and hourly rates

Bandwidth

Metered with egress fees

Unlimited with zero egress fees

Control

Tied to one provider stack

Multiple providers and locations

Deployment

Fragmented services

Fluence API for provisioning and management

How it works

Connect your hardware and start earning in three steps

Connect your hardware and start

earning in three steps

1

1

Run agent services
on CPU virtual servers

Run agent services on

CPU virtual servers.

Run agent services on CPU

virtual servers

Run agent services on CPU virtual servers.

Deploy your orchestration logic, vector DBs, and tool interfaces on cost-effective CPU Virtual Servers.

Deploy your orchestration logic, vector DBs, and tool interfaces on cost-effective CPU Virtual Servers.

2

2

Connect to your
model source

Connect to your model source

Connect to your model source

Route inference tasks to Fluence GPU containers for open-source models, or connect to external APIs for proprietary models.

Earn stable USDC, FLT availability rewards,

and FLOPS incentives.

Route inference tasks to Fluence GPU containers for open-source models, or connect to external APIs for proprietary models.

3

3

Console for launch,
API for scale

Console for launch, API for scale

Console for launch, API for scale

Launch quickly in the console. Use the API to automate deployment, rotation, and cost controls.

No net-30/60 terms. Get paid immediately

upon job completion.

Launch quickly in the console. Use the

API to automate deployment, rotation,

and cost controls.

Use cases

Use cases

Use cases

Agent platforms

Run agent logic, tools, memory, and model endpoints on one platform with transparent pricing.

Agent platforms

Run agent logic, tools, memory, and model endpoints on one platform with transparent pricing.

Agent platforms

Run agent logic, tools, memory, and model endpoints on one platform with transparent pricing.

Enterprise Operations

Deploy support and ops agents close to your internal systems. Choose specific regions to keep latency low and security high.

Enterprise Operations

Deploy support and ops agents close to your internal systems. Choose specific regions to keep latency low and security high.

Enterprise Operations

Deploy support and ops agents close to your internal systems. Choose specific regions to keep latency low and security high.

DePIN & blockchain automation

DePIN & blockchain automation

Run 24/7 listeners that monitor blockchains, index data, and trigger events. Proven stability for gateway and node workloads.

Run 24/7 listeners that monitor blockchains, index data, and trigger events. Proven stability for gateway and node workloads.

Run 24/7 listeners that monitor blockchains, index data, and trigger events. Proven stability for gateway and node workloads.

DePIN & blockchain automation

Run 24/7 listeners that monitor blockchains, index data, and trigger events. Proven stability for gateway and node workloads.

Research & experimentation 

Research & experimentation 

Spin up CPU and GPU environments for testing new models. Tear them down instantly via API when the experiment ends.

Spin up CPU and GPU environments for testing new models. Tear them down instantly via API when the experiment ends.

Spin up CPU and GPU environments for testing new models. Tear them down instantly via API when the experiment ends.

A global marketplace
of compute

Source the exact CPU and GPU resources your agents need from top-tier providers like Sestre, Akash, and TensorDock—unified in one console.

A global marketplace
of compute

Source the exact CPU and GPU resources your agents need from top-tier providers like Sestre, Akash, and TensorDock—unified in one console.

A global marketplace
of compute

Source the exact CPU and GPU resources your agents need from top-tier providers like Sestre, Akash, and TensorDock—unified in one console.

On-demand or spot instances

On-demand or spot instances

Choose high-availability instances for
maximum stability and reliability, or leverage
spot instance pricing for cost savings.

Choose high-availability instances for maximum stability and reliability, or leverage spot instance pricing for cost savings.

Choose high-availability instances for
maximum stability and reliability, or leverage
spot instance pricing for cost savings.

Automate with Fluence API

Automate with Fluence API

Automate with
Fluence API

Find providers, launch custom OS images
in seconds, and manage large multi-agent
systems programmatically.

Find providers, launch custom OS images in seconds, and manage large multi-agent systems programmatically.

Find providers, launch custom OS images

in seconds, and manage thousands of GPU servers programmatically.

Coming soon


FAQ

Can I separate agent logic from inference

How do I connect my logic to my models?

Can I use custom OS images

Do I need both virtual servers and GPU containers

Show more

Can I separate agent logic from inference

How do I connect my logic to my models?

Can I use custom OS images

Do I need both virtual servers and GPU containers

Show more

Ready to deploy?

Join the Fluence
Community

Launch faster. Pay less. Build without lock-in.

Run AI agents at
80% lower cost

The optimized infrastructure layer for autonomous systems. Host agent logic on affordable CPU Virtual Servers and route inference to high-performance GPUs. All with zero egress fees.

  • nodes.garden

Why Fluence for AI agents

Fluence provides the infrastructure primitives needed to run agents reliably without stitching together multiple compute products.

Agent logic (CPU)

Host long-running orchestration, tool routing, memory, and APIs on standard Linux Virtual Servers. Low cost, always on.

On-demand inference (GPU)

Connect your agents to GPU containers only when needed. Serve models yourself to reduce API costs and latency.

No vendor lock-In  

Deploy across Tier-3/4 datacenters globally. Mix and match providers, regions, and hardware to ensure redundancy.

Zero egress fees  

Agents move a lot of data. We don't tax it. Enjoy unlimited bandwidth and simple flat-rate pricing (Daily for CPUs, hourly for GPUs).

Running AI agents on Fluence vs Centralized cloud

Feature

Big cloud

Fluence

Pricing

Complex plans

and add ons

Simple daily and hourly rates

Bandwidth

Metered with egress fees

Unlimited with zero egress fees

Control

Tied to one provider stack

Multiple providers and locations

Deployment

Fragmented services

Fluence API for provisioning and management

How it works

Connect your hardware and start earning in three steps

1

Run agent services
on CPU virtual servers

Deploy your orchestration logic, vector DBs, and tool interfaces on cost-effective CPU Virtual Servers.

2

Connect to your
model source

Route inference tasks to Fluence GPU containers for open-source models, or connect to external APIs for proprietary models.

3

Console for launch,
API for scale

Launch quickly in the console. Use the API to automate deployment, rotation, and cost controls.

Use cases

Agent platforms

Run agent logic, tools, memory, and model endpoints on one platform with transparent pricing.

Enterprise Operations

Deploy support and ops agents close to your internal systems. Choose specific regions to keep latency low and security high.

DePIN & blockchain automation

Run 24/7 listeners that monitor blockchains, index data, and trigger events. Proven stability for gateway and node workloads.

Research & experimentation 

Spin up CPU and GPU environments for testing new models. Tear them down instantly via API when the experiment ends.

A global marketplace
of compute

Source the exact CPU and GPU resources your agents need from top-tier providers like Sestre, Akash, and TensorDock—unified in one console.

On-demand or spot instances

Choose high-availability instances for
maximum stability and reliability, or leverage
spot instance pricing for cost savings.

Automate with Fluence API

Find providers, launch custom OS images
in seconds, and manage large multi-agent
systems programmatically.

Coming soon


FAQ

Can I separate agent logic from inference

How do I connect my logic to my models?

Can I use custom OS images

Do I need both virtual servers and GPU containers

Show more

Join the Fluence community

Launch faster. Pay less. Build without lock-in.