CryptoRAT litepaper: serverless Web3 future of AI infrastructure


Anyone with a consumer or data center device on Windows or Linux with a high-end NVIDIA GPU can host a node and provide compute power to data scientists and earn money. Our hosted APIs are scalable and reliable thanks to CryptoRAT not routing the tasks directly, but managing connections on a peer-to-peer network. Once the connection is established through our dispatch software, clients and hardware providers interact without any intermediaries.

Typically, a cloud GPU server costs 5–20 times more than what it could potentially earn by mining crypto: 5x for smaller local clouds, and 20x when it comes to Google or AWS. We source cheaper GPU power by giving out gamified rewards to hosts of our compute nodes. Becoming a host is easy, as our node app is effortless to install. This way we make the arrangement beneficial for both scientists and GPU owners.

We’re laser-focused on making our software extremely efficient in one specific task — serving trained models. By focusing on this, we are able to obtain sustainable power from consumer GPUs despite their individually unpredictable uptimes.

Our short-term goal is to democratize AI deployment by:

  • Simplifying DevOps
  • Slashing cloud expenses

Our mission is to create a solution for AI app deployment that is ideal for both Web3 and Web2 businesses. Web3 projects will feel right at home, because our service will be:

  • Crypto-native
  • Decentralized
  • Scalable

We believe that our insights into the challenges of the AI market will allow us to satisfy the demand of a significant number of businesses, and that our solution will eventually become the universal protocol for AI in Web3.

Сhallenges of AI development

The hardware is way too expensive

AI is on its way to becoming ubiquitous, and the demand for computing resources has followed suit: the total available market for cloud AI inference was already almost $40B in late 2020 and it’s estimated to exceed $70B by 2025. On a more practical level,hosting a single AI model in a cloud can easily cost $400 a month for just the GPU, and the overwhelming majority of AI service providers have numerous models deployed. There are other significant expenses as well, which can make the entrance threshold to this market quite steep.

Deploying AI apps is way too complicated

Because getting started is so expensive, progress in AI development has suffered. Smaller players that could contribute to the field — startups and mid-sized businesses — often find themselves struggling with this additional barrier.

Creating AI-driven Web3 apps is way too hard

All in all, Web3 is nowhere near this stage yet. There are simply no services like this as of now, which has created a vacuum waiting to be filled.

CryptoRAT solutions

We source cost-efficient hardware resources

We simplify model deployment

We scale via Web3 technologies

CryptoRAT connects a client to a compute node

B2B customer side


The SDK is here to bring:

  • Ease-of-use
  • Capability to process huge data streams
  • Affordable and transparent pay-as-you-go pricing

A data scientist equipped with our SDK will be able to:

  • Upload ONNX-compatible models to our storage
  • Deploy an API to serve any uploaded model
  • Send tasks to the API and retrieve results
  • Check the cloud credit balance and the SDK key status

The SDK software will automatically establish and manage the p2p connection to compute nodes, allowing clients to utilize the compute network in the same manner as they would use a regular asynchronous API. This will simplify AI model deployment down to just a few lines of code.


Two pricing models are available:

  • Pay per instance: best for hosting an API and keeping it online at all times.
  • Pay per request: suited for one-time bulk processing tasks, demos, temporary solutions, or apps with unpredictable loads.

Pay per instance

  • Model file size
  • Input size
  • Guaranteed requests per second
  • Model update frequency
  • Key lifetime

Pay per request

  • Model file size
  • Input size

This plan also comes with a fixed number of virtual credits which you can spend on sending requests to the model. The credit cost of a single request depends on input and model size.

Hardware Provider side

The app will be available for Windows and Linux OS. We’re building it with ease-of-use as our top priority: the only actions required to start earning will be logging in and pressing the “START” button. Meanwhile, under the hood the app will check the hardware, deploy the compute node, connect it to our dispatch software and get started processing AI or performing other tasks like mining, in case of low demand or hardware oversupply.

Rewards for providing hardware

  1. Is simple and controllable for a user
  2. Incentivizes behavior which is beneficial to the network
  3. Automatically balances network hardware supply with demand

Each provider will earn USD for their work and CRAT (CryptoRAT reputation tokens) for beneficial behavior.

USD rewards

Guaranteed rewards will be distributed to any network participant who commits their hardware for the duration of a whole round. This reward will be equal to the average mining income for a given GPU.

Bonus rewards will be shares of the network income generated from B2B customers. A user’s share will be calculated according to strength of hardware and reputation.

In order to simplify the system, a power rating will be assigned to each GPU provided. This rating is discrete and ranks GPUs by their performance: powerful GPUs are rated higher than lower-grade ones. Example: a low-grade GTX 1050 is rated 1, while a monster GPU like a 3090Ti gets a rating of 5.

At the start of each round, participants will be ranked by their GPU power rating multiplied by the amount of CRAT owned. In case of a tie, we will take the total provided uptime and registration date into account. Network income will be distributed according to rank: the higher the rank, the higher the income share. The number of ranks receiving a non-zero bonus will be limited and defined by the total network income generated by customers.

The total reward will be counted in USD and be paid out in any token on the Everscale blockchain.

CryptoRAT reputation tokens

CRAT tokens will be given to hardware providers whose actions benefit the network: providing long streaks of uninterrupted uptime over multiple rounds, providing uptime during peak hours, and correctly validating the computations of other network participants. Users will also be able to get them via airdrops and promotional activities or buy them on the market.

An example of reward allocation

Simplified example of reward distribution

Reward sums here are placeholders and don’t reflect real distributed bonuses. Actual bonuses will change frequently, because they depend on the extent to which businesses use our network for their AI model inference, as well as on the funding available for airdrops and other promotional activities.


The CryptoRAT team is committed to building a truly reliable and useful service. As a team, we have the skills and expertise to take this project to where it needs to go. We believe that we are uniquely equipped to overcome the challenges in this field.

Igor Rekun

Andrey Kiselev

Dimitry Lesnevsky

Further info and updates

  • Follow us here on Medium for major updates
  • Sign up for emails to partake in beta testing
  • Get in touch with anyone from our team on LinkedIn
  • Drop a line at for further inquiries.



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