# Fluence
*Also known as Fluence*

- Website: https://fluence.ai
- Agent profile: https://directory.haycion.ai/agents/fluence-ai

> Fluence is a decentralized compute platform delivering enterprise-grade AI compute via a global network of independent providers.

Fluence is a decentralized compute platform delivering enterprise-grade compute resources through a distributed network of independent providers with no dependence on cloud hyperscalers. Its mission is to create a more competitive market for AI compute, enabling teams to choose infrastructure on clear terms while providers compete to serve them. Fluence is governed by Fluence DAO and a community-driven governance model, with Cloudless Labs contributing to development, and operates a global marketplace for CPU and GPU capacity with APIs to provision and manage compute across providers and regions.

**Mission:** Our mission is to create a more competitive market for AI compute, enabling teams to choose infrastructure on clear terms while providers compete to serve them.

## Products & Services

### [Fluence Virtual Servers](https://fluence.ai/virtual-servers)
*Platform*
Fluence Virtual Servers provide affordable, scalable compute with no vendor lock-in or hidden fees.

- **API Driven Provisioning and Management** — Automate Compute Management
- **Cloudless Compute Across Providers** — Ensure Resilience and Flexibility
- **Zero Egress Fees** — Eliminate Hidden Costs
- **Global Provider Network** — Expand Global Reach
- **Unified Multi Provider Console** — Centralize Resource Management
- **Persistent Storage Support** — Maintain Data Independence

### [Fluence GPU](https://fluence.ai/gpu)
*Platform*
Fluence GPU provides flexible, cost-effective AI compute resources with no vendor lock-in.

- **Deployment Options** — Choose Deployment Model
- **On-Demand GPU Capacity Across Providers** — Access GPU Resources
- **Transparent Pricing and Zero Egress Fees** — Enjoy Cost Predictability
- **Supports Production Inference and GenAI Workloads** — Execute AI Workloads
- **Unified GPU Marketplace** — Centralize Management
- **Flexible Pricing Structures** — Optimize Costs

### [Fluence CPU Cloud](https://fluence.ai/cpu-cloud)
*Platform*
Fluence CPU Cloud offers cost-effective, flexible compute resources for AI and general workloads without vendor lock-in.

- **API Automation** — Automate Resource Management
- **Transparent Daily Pricing** — Eliminate Budget Surprises
- **Dedicated CPU for Sustained Workloads** — Ensure Consistent Performance
- **Unlimited Bandwidth and Zero Egress Fees** — Reduce Data Transfer Costs
- **Shared CPU for Variable Demand** — Optimize Cost for Light Workloads
- **Flexible Deployment Options** — Choose Your Provider

### [Fluence Blockchain Nodes](https://fluence.ai/deploy-blockchain-nodes)
*Product*
Effortlessly deploy and scale blockchain nodes with lower costs and full control.

- **Decentralized Compute Backbone** — Provide Decentralized Resources
- **Multichain Node-as-a-Service** — Manage Across Protocols
- **Cost Efficiency** — Reduce Operational Costs
- **One-Click Deployment and Management** — Automate Node Services
- **Integrations for Easier Deployment** — Leverage Partnerships

### [AI Agents](https://fluence.ai/ai-agents)
*Solution*
Streamline AI agent deployment with unified infrastructure and cost-effective pricing.

- **Agent Platform for Logic, Tools, Memory, and Model Endpoints** — Runs Workloads Efficiently
- **Transparent Pricing** — Offers Predictable Costs
- **Unified Compute for Agents** — Streamlines Integration
- **On-Demand Inference** — Optimizes Resource Usage
- **Zero Egress Fees** — Enhances Data Transfer Efficiency
- **No Vendor Lock-In** — Ensures Flexibility

### [AI Inference](https://fluence.ai/solutions/ai-inference)
*Solution*
Optimize AI workloads with cost-effective, flexible GPU infrastructure and zero egress fees.

- **Production-Grade GPU Inference** — Optimize Performance
- **Model Source Routing** — Connect Open Source And Proprietary Models
- **Flexible Deployment** — Deploy Anywhere, Anytime
- **Zero Egress Fees** — Move Data Freely
- **Transparent Pricing** — Know Your Costs Upfront

### [AI Training](https://fluence.ai/solutions/ai-training)
*Solution*
Leverage cutting-edge GPUs for efficient AI training without vendor lock-in.

- **High-Performance GPUs** — Harness Advanced GPU Technology
- **Distributed ML Training** — Empower Large Models Training
- **No Vendor Lock-In** — Maintain Full Control
- **Scalable Infrastructure** — Scale On Demand
- **Transparent Pricing** — Understand Your Costs

### [Fine-tuning](https://fluence.ai/solutions/fine-tuning)
*Solution*
Effortlessly fine-tune AI models using flexible GPU resources at competitive rates.

- **Model Fine-Tuning on Scalable Compute** — Customize Models Effectively
- **Cross-provider Resources** — Maximize Efficiency
- **Flexible Deployment Options** — Tailor Deployments
- **Transparent Pricing** — Control Costs

### [Generative AI](https://fluence.ai/solutions/generative-ai)
*Solution*
Enable versatile generative AI applications with cost-effective GPU computing.

- **Generative Workloads Across Modalities** — Supports All Modalities
- **GPU Marketplace Across Providers** — Access Diverse GPU Options
- **Multiple Deployment Models** — Flexible Deployment Options
- **Transparent Pricing** — Clear Cost Management

## Market Segments

- **ML training infrastructure and orchestration** (market size $12.7B, CAGR 24.5%): Capabilities to schedule, run, and scale GPU-accelerated training jobs, manage clusters and checkpoints, and provide fault tolerance and pre-validated high-performance compute for model development.
- **Managed model inference and serving** (market size $23.4B, CAGR 26.8%): Managed hosting and serving of models with autoscaling endpoints, OpenAI-compatible APIs, batch inference pricing, and configurable serving modes to balance latency and throughput for production deployments.
- **Foundation model training and fine-tuning** (market size $3.1B, CAGR 23.4%): Capabilities for pretraining, fine-tuning, curating, and managing foundation models and large-scale model workflows, including GPU-accelerated pipelines for video and multimodal data.
- **Model-Agnostic Runtime and Deployment** (market size $3.5B, CAGR 44.2%): Model-agnostic access and orchestration across 200+ models and compatibility with multiple agent frameworks for deploying and running AI applications.
- **Blockchain node hosting and Web3 infrastructure** (market size $4.4B, CAGR 38.7%): Decentralized, cost-efficient multichain node deployment and management on a distributed provider network with automated provisioning and reduced vendor lock-in.