OpenGPU provides a decentralized global routing layer that connects AI inference, training, and rendering workloads to idle GPU resources across clouds, data centers, and independent operators. By using a blockchain‑secured protocol, the network automatically routes jobs to the most cost‑effective providers, verifies execution on‑chain, and settles payments, delivering up to 70% lower compute costs and instant elasticity via HTTPS APIs. It targets AI companies, machine‑learning teams, and graphics studios seeking scalable GPU compute without the overhead of traditional cloud infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
AI and high-performance GPU workloads rely on centralized cloud providers, leading to underutilized GPU capacity, high costs, provisioning delays, and limited access for developers and enterprises.
Solution
OpenGPU offers a decentralized global routing layer that connects AI inference, training, and rendering jobs to idle GPU resources across clouds, data centers, and independent operators. By leveraging a purpose-built blockchain and task protocol, the network automatically routes workloads to the most cost‑effective providers, verifies execution on‑chain, and settles payments transparently. Users can access GPU power instantly via HTTPS APIs or the Relay Gateway without managing infrastructure, while providers earn revenue by contributing spare capacity. The system delivers up to 70 % lower compute costs, real‑time failover, and enterprise‑grade billing and audit logs.
Target Audience
Primary customers are AI companies, machine‑learning teams, and graphics/rendering studios that need scalable GPU compute without the expense and complexity of traditional cloud infrastructure.
Features
- Global mesh of independent GPU providers accessed through a blockchain‑secured routing protocol
- Automatic workload placement with instant elasticity and real‑time health checks
- On‑chain verification and settlement to ensure task completion and prevent fraud
- HTTPS/Relay API and client applications for seamless integration with existing AI pipelines
- Enterprise dashboard with usage tracking, cost controls, audit logs, and request routing policies
- Support for diverse workloads including LLM inference, embeddings, generative media, batch processing, and high‑performance rendering