The Solution
Gensyn creates a decentralized protocol that unifies global computing power into a single, open network for machine learning.
Global Compute Network
Gensyn aggregates computing resources from around the world—personal computers, data centers, and everything in between—into a unified network. This democratizes access to ML training infrastructure and makes it permissionless for anyone to contribute or utilize compute power.
Trustless Verification with Verde
The Verde verification system uses cryptographic proofs to ensure ML workloads are executed correctly across untrusted nodes. This eliminates the need for centralized authorities and enables true peer-to-peer machine learning at scale.
Efficient Communication
Technologies like NoLoCo (No Local Collective) and SkipPipe optimize communication efficiency in distributed training. NoLoCo eliminates expensive all-reduce operations, while SkipPipe improves pipeline parallelism, making decentralized training competitive with centralized alternatives.
Built on Ethereum
As an Ethereum rollup, Gensyn leverages blockchain technology for decentralized coordination, fair resource allocation, and transparent task scheduling. This ensures compatibility, fairness, and permissionless participation across the entire ecosystem.
How It Works
1
Submit ML Task: Users submit machine learning workloads to the network with specific requirements.
2
Task Allocation: The Judge system allocates, schedules, and coordinates workloads across available compute nodes.
3
Distributed Execution: Nodes execute ML training using efficient communication protocols like NoLoCo.
4
Verification: Verde cryptographically verifies the execution was performed correctly.
5
Rewards: Compute providers are compensated fairly for their contributions.