Top use cases for GRACE NET

Top use cases for GRACE NET

• DePIN (Decentralized physical infrastructure). In the DePIN ecosystem, users are incentivized with tokens to crowdsource operations like cloud computing, file storage, IoT, data collection, and communications. In most cases, users store, process, or share various types of data, be it sensor data from IoT devices, video content, etc. The collective market cap of DePIN tokens is approaching $17 billion (as of August 2024), led by protocols like Render (RNDR), Bittensor (TAO), Helium (HNT), Filecoin (FIL), and Theta Token (THETA). All of them are potential partners for GRACE.

DePIN creates scalable and flexible networks without a central point of failure and with fair rewards for all. However, these networks face serious speed limitations, since latency increases as information has to be transferred between many geographically distributed nodes. GRACE NET is the optimal solution for DePIN networks, as it minimizes latency when moving data between any two servers where the GRACE driver is installed. With GRACE, DePIN can become as fast as traditional infrastructure networks.

• Decentralized AI (or distributed AI). In this novel niche, which can be considered part of DePIN, AI-related tasks are distributed across multiple devices that provide computational capacity and storage space in exchange for rewards, usually in tokens. The tasks include scraping data for training models; running actual model training scripts; computing actual AI workflows; visualizing results, etc. The leading protocols in this market include Artificial Superintelligence Alliance (FET), Internet Computer (DFINITY), Injective Protocol (INJ), and The Graph (GRT).

The amount of data needed to create and run AI models is vast, and the cost of handing that data can stall the development of decentralized AI even if there are enough participants to do the computations. GRACE NET can become the turning point for the development of decentralized AI, too, transferring data between resource providers and AI teams at a very low cost. The only thing needed is a special extension (driver) to be installed into AI libraries to direct network calls to GRACE NET.

• Crypto exchanges. A major pain point for trading platform is latency: even when backend and frontend servers are located in the same data center, there is a lag between the moment when an asset’s price changes and the moment the updated prices is served to exchange users, as well as between the moment an order is placed and a trade is executed. GRACE NET virtually eliminates these lags: even when two servers are located right next to each other, installing the GRACE driver on both speeds up data transmission by as much as 30%. The effect becomes larger when an exchange uses several data centers.

• 30-50% faster mobile internet connectivity, with the effect becoming stronger as the file transfer distance increases (for example, data can be transferred 50x faster between London and Sydney compared to traditional protocols). This use case is particularly important in the B2C segment.