Breaking the Dilemma of Computing Power in the Industry: How Cysic @cysic_xyz Solves the Supply-Demand Mismatch Problem

Now that AI and blockchain are becoming increasingly popular, the demand for Computing Power is also rising sharply. However, the supply and demand issues in the Computing Power market are very prominent—there are not enough people who need it, while some have plenty of idle resources, creating a particularly contradictory situation.

Many small and medium-sized companies or independent developers want to engage in AI and blockchain-related development, but they often get stuck on two questions:

Either the Computing Power is insufficient, or the cost of Computing Power is too high to bear. But on the other hand? The high-performance GPU clusters purchased by enterprises, as well as the idle high-end graphics cards in the hands of gamers, are often just sitting there without being utilized.

ComputeFi, created by @cysic_xyz, is specifically designed to solve the mismatch between supply and demand.

The industry is currently facing three major challenges:
1) Serious waste of Computing Power:
Many companies purchase a bunch of high-performance computing devices to cope with peak business periods, but the usage rate of these devices often does not even reach half during normal times.

Looking at the consumer side, there are 1.8 billion home graphics cards globally, most of the time they are idle and unused. The expensive devices are just left there, and the funds are essentially wasted.

2) Uneven distribution of Computing Power resources:
Good high-performance Computing Power is basically in the hands of large technology companies and cloud service platforms. For small and medium-sized enterprises, it is really not easy to find cost-effective and easy-to-use Computing Power resources.

3) Lack of protection in transactions:
In traditional computing power trading, there is no reliable supervision mechanism, making it difficult for buyers to confirm whether the computing power received matches the promise; moreover, there is no trust foundation between both parties regarding profit sharing, resulting in a bumpy collaboration.

Cysic came up with a good way to integrate the Computing Power scattered everywhere and built a unified Computing Power network.
Whether it's idle GPU clusters from enterprises, electronic devices that individuals no longer use at home, or ASIC miners they developed themselves, all can join this network to form a shared Computing Power resource pool. This way, when developers need Computing Power, they can quickly find suitable resources without having to search everywhere.

Now this network has over 100,000 validation nodes and 42,000 proof nodes, and the previous issue of information asymmetry between the supply and demand sides of Computing Power has been resolved.

To talk about Cysic's core advantages, it has to be its full-stack technology layout:
Their self-developed ASIC chips are specifically designed for zero-knowledge proof computations, which are faster and more energy-efficient than regular hardware, essentially providing a dedicated accelerator for these types of computational tasks.

Moreover, we have also collaborated with Tsinghua University to research GPU acceleration solutions, which can enhance the Computing Power of consumer graphics cards without worrying about device compatibility issues, allowing ordinary graphics cards to be very useful.

You don't have to worry about network security and trust, as it uses the "Proof-of-Compute" consensus mechanism.
Smart contracts act like an automatic intermediary that executes all transaction processes automatically, and all information is open and transparent, allowing everyone to check at any time without having to guess among each other.

In this way, the distribution of Computing Power in the entire industry becomes more reasonable and efficient, and it can also promote the research and application of new technologies such as AI and blockchain, bringing real changes to the development of the industry.
#cysic