Run AI agents at 80% lower cost
The optimized infrastructure layer for autonomous systems. Host agent logic on affordable Cloud CPU VMs and route inference to high-performance GPUs. All with zero egress fees.
Run AI agents at 80% lower cost
The optimized infrastructure layer for autonomous systems. Host agent logic on affordable Cloud CPU VMs and route inference to high-performance GPUs. All with zero egress fees.
Why Fluence for AI agents
Fluence provides the infrastructure primitives needed to run agents reliably without stitching together multiple compute products.
Why Fluence for AI agents
Fluence provides the infrastructure primitives needed to run agents reliably without stitching together multiple compute products.
Running AI agents on Fluence vs Centralized cloud
Feature
Fluence
Big cloud
Pricing
Simple daily and hourly rates
Complex plans and add ons
Bandwidth
Unlimited with zero egress fees
Metered with egress fees
Control
Multiple providers and locations
Tied to one provider stack
Deployment
Fluence API for provisioning and management
Fragmented services
Running AI agents on Fluence vs Centralized cloud
Fluence
Big cloud
Pricing
Simple daily and hourly rates
Complex plans and add ons
Bandwidth
Unlimited with zero egress fees
Metered with egress fees
Control
Multiple providers and locations
Tied to one provider stack
Deployment
Fluence API for provisioning and management
Fragmented services
How it works
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.
How it works
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.
MCP is live
Deploy compute from your AI agent
Connect Cursor, Claude Code or Codex to Fluence MCP. Find server configurations, deploy compute, check status and shut down servers through plain-language requests. Free MCP access. Compute billed separately.
MCP is live
Deploy compute from your AI agent
Connect Cursor, Claude Code or Codex to Fluence MCP. Find server configurations, deploy compute, check status and shut down servers through plain-language requests. Free MCP access. Compute billed separately.
Use cases
Use cases
A global marketplace of compute
Source the exact CPU and GPU resources your agents need from top-tier providers like Sesterce, 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 Sesterce, 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.
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.
Automate with Fluence API
Find providers, launch custom OS images in seconds, and manage large multi-agent systems programmatically.
Let agents pay for compute
Agents fund accounts with USDC on Base through x402, then rent CPU or GPU compute via the API without email signup.
Let agents pay for compute
Agents fund accounts with USDC on Base through x402, then rent CPU or GPU compute via the API without email signup.
FAQ
How do I connect my logic to my models?
Can I use custom OS images?
Do I need both virtual servers and GPU containers?
Can I separate agent logic from inference?
Do you provide agent building tools?
Show more
FAQ
How do I connect my logic to my models?
Can I use custom OS images?
Do I need both virtual servers and GPU containers?
Can I separate agent logic from inference?
Do you provide agent building tools?
Show more
Be the first to know
Be the first to know