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Fluence.ai

Fluence.ai delivers decentralized, high-performance GPU computing for scalable AI development—no cloud, no lock-in.

Fluence.ai screenshot

Category: Automation

Price Model: Usage-based

Audience: Business

Trustpilot Score: N/A

Trustpilot Reviews: N/A

Our Review

Fluence.ai: High-Performance GPU Power Without Cloud Dependencies

Fluence.ai is a cloudless, decentralized platform that aggregates cutting-edge GPU resources globally, enabling users to rent NVIDIA H100, A100, and RTX 4090 GPUs across 22 locations on 5 continents. Designed for scalable and efficient AI model development, it offers guaranteed pricing, privacy protection, and technical support through crypto economics and long-term contracts with providers. Ideal for researchers, developers, and teams needing flexible, high-performance computing without the constraints of traditional cloud services.

Key Features:

  • Global GPU Aggregation: Access to top-tier NVIDIA GPUs (H100, A100, RTX 4090) across 22 locations on 5 continents.
  • Cloudless Infrastructure: Eliminates reliance on centralized cloud providers with a decentralized resource network.
  • Dedicated GPU Clusters: Reserve thousands of GPUs in a dedicated cluster with no yearly commitment.
  • Guaranteed Pricing: Secure pricing via long-term contracts and crypto economics.
  • Scalable AI Development: Optimized for large-scale AI and data science workloads with efficient resource clustering.
  • Privacy & Security: Built-in privacy policies ensure secure handling of sensitive computational tasks.
  • Technical Support: Reliable support to assist with deployment, optimization, and troubleshooting.
  • No Vendor Lock-In: Freedom to use resources without long-term contracts or platform dependencies.

Pricing: Fluence.ai offers a flexible usage-based pricing model starting at $1.99 per hour per H100 GPU, with no mandatory yearly commitments.

Conclusion: Fluence.ai delivers a powerful, secure, and cost-effective alternative to traditional cloud GPU services, empowering AI innovators with global, scalable, and private compute resources.

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