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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 statement
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 Platform
Fluence Virtual Servers provide affordable, scalable compute with no vendor lock-in or hidden fees.
fluence.ai/virtual-servers- ✓ 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 Platform
Fluence GPU provides flexible, cost-effective AI compute resources with no vendor lock-in.
fluence.ai/gpu- ✓ 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 Platform
Fluence CPU Cloud offers cost-effective, flexible compute resources for AI and general workloads without vendor lock-in.
fluence.ai/cpu-cloud- ✓ 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 Product
Effortlessly deploy and scale blockchain nodes with lower costs and full control.
fluence.ai/deploy-blockchain-nodes- ✓ 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 Solution
Streamline AI agent deployment with unified infrastructure and cost-effective pricing.
fluence.ai/ai-agents- ✓ 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 Solution
Optimize AI workloads with cost-effective, flexible GPU infrastructure and zero egress fees.
fluence.ai/solutions/ai-inference- ✓ 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 Solution
Leverage cutting-edge GPUs for efficient AI training without vendor lock-in.
fluence.ai/solutions/ai-training- ✓ 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 Solution
Effortlessly fine-tune AI models using flexible GPU resources at competitive rates.
fluence.ai/solutions/fine-tuning- ✓ 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 Solution
Enable versatile generative AI applications with cost-effective GPU computing.
fluence.ai/solutions/generative-ai- ✓ 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
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
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
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
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
Decentralized, cost-efficient multichain node deployment and management on a distributed provider network with automated provisioning and reduced vendor lock-in.
Related Organizations
AI21 Labs builds enterprise-grade AI systems and foundation models to empower organizations with reliable, cost-effective AI at scale.
AI-native cloud platform powering pioneers' most complex AI workloads.
Ensemble Labs, Inc. (TrueFoundry) delivers an enterprise AI deployment and governance platform enabling secure, scalable AI across industries.
GoMeta, Inc. provides a platform to build, deploy, and manage AI-powered agents for enterprise automation.
H2O.ai is a leading enterprise AI software company enabling scalable, governed AI adoption.
Hugging Face is an open, collaborative platform for the ML community to share and collaborate on models, data, and AI-enabled applications.
Common Questions
- What does Fluence do?
- 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.
- What is Fluence's role in the ML training infrastructure and orchestration market?
- 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.
- What is Fluence's role in the Managed model inference and serving market?
- 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.
- How was the ML training infrastructure and orchestration market size estimate for Fluence calculated?
- Estimate based on reported AI training/infrastructure figures in the search results. TrendX lists the AI Training Market at USD 12.00B in 2025 with a 24.5% CAGR (2026–2034) — this most closely matches training infrastructure demand. ML orchestration tools are a smaller subset (~US$0.74B in 2024 per QYResearch/OpenPR). Precedence Research shows the broader AI infrastructure market at USD 72.02B in 2025, indicating substantial adjacent spend on hardware and platform services. Combining the AI Training market (primary driver) with the orchestration tools subset yields a 2025 market estimate of roughly USD 12.7B and adoption-driven growth aligned with the 24.5% CAGR reported for AI training.
- How was the Managed model inference and serving market size estimate for Fluence calculated?
- Estimate based on published market reports for AI inference / inference-as-a-service. Precedence Research explicitly reports USD 23.40B for AI inference-as-a-service in 2026 and a 26.8% CAGR; independent estimates (inference server reports) show similar high-growth trajectories (mid-20% to high-20% CAGR), with at least one broader AI inference report citing a lower 16.6% CAGR.
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