Value always comes from understanding and choice. Using current events as material to explore the value transmission behind them in real-time.
The Biggest Crisis for io.net!
io.net's model is more easily implementable in this space. After all, it doesn't require complex compute aggregation technology; it simply matches the rental of specific GPU models. However, Gensyn aims to be the ultimate form of this track! Today, we will conduct a comprehensive analysis of Gensyn, the new big brother in the decentralized compute market!
What Is Gensyn?
The goal of the Gensyn project is essentially to create a "global shared AI computing factory," where global computing resources (personal GPUs, mining machines, data centers) can join Gensyn's compute pool to achieve "everyone can contribute, everyone can use." To realize this goal, even the slightest contributions can be transformed into value through blockchain characteristics! Their solution covers multiple core technology modules, including consensus mechanisms, compute task allocation, work verification, and economic incentives.
Understanding Gensyn
The core of what Gensyn aims to do is very simple—connect all idle GPU resources into a global compute pool, allowing those who need computing power to rent directly, and even those who contribute very little can earn rewards!
How Is Gensyn Different from io.net?
io.net is more like a "decentralized cloud computing rental platform," primarily aggregating and scheduling existing cloud GPU resources to build a low-cost GPU cloud computing network similar to AWS.
io.net connects idle commercial GPU resources, such as data centers, mining farms, and institutionally idle high-performance GPUs, with limited contributions from individual users.
Their goal is to enable AI researchers to train models with cheaper compute power by renting GPUs, focusing more on a Web2 commercialization model in the short term.
Gensyn goes further; it aims to create a fully decentralized AI computing protocol:
A truly trustless compute market where anyone can contribute compute power without relying on centralized servers.
Unlike io.net, which acts as an intermediary, Gensyn aims to establish a fully autonomous AI computing network where compute tasks are automatically scheduled, executed, verified, and fairly compensated through blockchain mechanisms.
Overall:
io.net is a decentralized GPU data center, similar to AWS but cheaper, aiming to make renting GPUs more cost-effective.
Gensyn is a globally distributed supercomputer, not just renting GPUs but allowing all devices to participate in computing, ensuring trust through Web3 mechanisms.
AI Training Module & Economic Flow Model
🌍 Task Distribution Mechanism
Gensyn allows any user (Submitters) to submit AI training tasks, including training models (such as GPT, Diffusion models), data preprocessing, fine-tuning existing models, and other AI-related tasks.
These tasks are broken down into smaller sub-tasks (Task Sharding) and distributed to global solvers (Solvers).
For example, if you submit an AI training request (e.g., teaching AI to recognize cats and dogs), Gensyn will split the large task into smaller chunks and distribute them to compute nodes worldwide for processing.
🌍 Economic Flow Model
To encourage global compute resources to join, Gensyn adopts an economic incentive mechanism to ensure:
1️⃣ Solvers receive stable income. 2️⃣ Verifiers are rewarded for discovering errors. 3️⃣ Submitters pay fair prices without being subject to monopolistic pricing.
Solvers receive rewards: Solvers run AI training tasks, submit compute results, and receive Gensyn $GENSYN rewards upon verification. If they act maliciously or submit incorrect results, they will be fined.
Verifiers receive challenge rewards: Verifiers check compute results and can report errors to receive rewards. If their reports are incorrect, verifiers will be penalized.
Submitters pay for compute power: Submitters pay $GENSYN to rent compute power, with prices determined by the market rather than controlled by monopolistic enterprises.
Project Development Analysis
Gensyn plans to roll out gradually in the following order: Testnet (testing network) → Canarynet (economic incentive testnet) → Mainnet (main network). Gensyn has the potential to become a crucial infrastructure for decentralized AI training, and if its vision is fully realized, it could pose a significant threat to io.net.
Currently, Gensyn's technology is essentially complete, and the test network is not far off. The testing period for the economic incentive testnet will be relatively short and can be considered negligible. The testnet phase may be longer, given the ambitious scope of its technical vision!