Democratizing AI inference through distributed computing
To make AI inference accessible, affordable, and sustainable by connecting developers who need compute power with GPU owners who have idle resources.
Reduce AI inference costs by up to 90% through efficient resource sharing and distributed processing.
Build a worldwide network of compute providers, enabling AI access from anywhere.
Utilize existing hardware more efficiently, reducing the need for new data centers.
MicroDC was born from a simple observation: while demand for AI compute continues to skyrocket, millions of GPUs sit idle around the world. Gamers, researchers, and small businesses own powerful hardware that's underutilized most of the time.
At the same time, developers building AI-powered applications face prohibitive costs for inference workloads. Cloud GPU instances are expensive, and not everyone needs real-time responses.
We built MicroDC to bridge this gap. Our asynchronous job queue system connects developers with a distributed network of GPU providers, enabling cost-effective AI inference at scale.
Platform concept and initial development begins
Beta launch with first GPU providers
Public launch with 100+ supported models
Expanding our global network of providers
The people building the future of distributed AI
Co-Founder & CEO
A global business leader and entrepreneur with extensive transportation and infrastructure experience. Ray holds an MBA from the University of Chicago Booth School of Business and a JD from Georgetown University Law Center. His background spans aviation leasing, advanced mobility ventures, and corporate board leadership, bringing strategic vision to MicroDC's mission of democratizing AI compute.
Co-Founder & CTO
A seasoned technology leader with over 25 years of experience in cybersecurity, AI/ML, and software architecture. CISSP certified, Jeffrey has built scalable platforms handling over 1 million events per second, developed computer vision fraud detection systems, and created AI solutions for the US military. He combines deep security expertise with hands-on AI development in LLM fine-tuning and distributed computing.
CFO
An experienced CFO with deep expertise in private equity environments, SaaS, and technology companies. A Yale and Georgia Tech MBA graduate, Neil has managed financials through 140% growth, led M&A activities across 11 entities in 8 countries, and optimized cash management for international operations. Multi-lingual with global business experience including diplomatic service.
Our team brings together expertise from:
We envision a world where AI capabilities are not limited by access to expensive infrastructure. Where every developer can build AI-powered applications without breaking the bank. Where GPU owners can contribute to the AI revolution and be rewarded for it.
The principles that guide everything we do
Clear pricing, honest communication, and open about how our platform works.
Building a thriving ecosystem where developers and providers succeed together.
Continuously improving our platform to deliver better experiences and value.
Security and reliability are foundational to everything we build.
Whether you're a developer looking to build amazing AI applications or a GPU owner wanting to monetize your hardware, we'd love to have you as part of our community.