The Opportunity

Creating a decentralized data processing system

Global reliance on the digital ecosystem requires the adoption of technologies that deliver cost-effective, timely, and reliable processing of transactions. The process must be secure and transparent ensuring the integrity of the transaction.

Large-scale data processing must deploy solutions that validate the integrity and security of the transaction, providing an element of visibility that validates transparency whilst also maintaining the confidentiality of the transaction originator and recipient.

Technology solutions are available to deliver secure and transparent services to industries however the biggest barrier is access to processing power. Centralized data processing centers are one solution but are not without their risks and problems; a decentralized data processing solution mitigates the issues and risks from centralized operations.

A company with a solution to decentralize processing power, harnessing the global availability of underutilized processing devices, creating a scalable solution as demand grows and falls whilst delivering rewards to all stakeholders will significantly benefit from this global problem.

The Markets

The Digital Revolution has created new markets with a huge demand for globally distributed processing power. These include:

Rendering	In the entertainment industry, 3D rendering is used to create high-quality images and animations for movies, video games, and other visual media. It requires powerful computing resources to process and render large 3D models and scenes.
Artificial Intelligence	AI is a branch of computer science that deals with the development of intelligent systems and machines. It requires powerful computing resources to process and analyze large sets of data to learn and make decisions.
Blockchain (and Blockchain Computations)	Blockchain is a distributed ledger technology that enables secure, immutable, and transparent transactions. Powering blockchains through the confirmation and validation of transactions, also known as mining, can require significant computing power to process complex mathematical problems and validate transactions on the blockchain network.
Scientific Simulations and Research	Many scientific fields such as physics, chemistry, and biology require powerful computing resources to perform complex simulations and analyze large sets of data.
Financial Modelling and Analysis	Financial institutions rely heavily on data processing to perform financial modeling, risk analysis, and other complex calculations.
Video Encoding and Transcoding	Video content is a major driver of internet traffic, and powerful computing resources are needed to encode and transcode video for streaming and other uses.
Natural Language Processing	NLP is a branch of AI that deals with the interaction between computers and human languages; it requires powerful computing resources to process and analyze large sets of text data.
Weather Forecasting	Weather forecasting requires powerful computing resources to process and analyze large sets of weather data to make accurate predictions.
Medical Imaging	Medical imaging such as CT and MRI scans require powerful computing resources to process and analyze large sets of medical data.
Big Data Analytics	Big data analytics refers to the process of collecting, storing, and analyzing large and complex data sets, it requires powerful computing resources to process and extract insights from the data.
Search Engine Optimization	SEO requires powerful computing resources to process and analyze large sets of data to optimize websites for search engines.
Autonomous vehicles	Autonomous vehicles require powerful computing resources to process and analyze large sets of data from sensors and cameras to make decisions and navigate.

Each industry has its own data processing requirements and approach to technology implementation. Each industry is developing solutions that selects the most profitable application at the right time and builds a dynamic network of suitable processing devices creating a scalable service for industrial data processing. However, the biggest barrier is access to processing power! Not just the "every-day" processing power, they all need access to ad-hoc processing power for peak availability or times of exceptional usage!

Examples of industries and their use of processing power are identified below:

Film and Entertainment	The film and entertainment industry uses data processing to render computer-generated images (CGI) for movies, TV shows, and video games. This includes 3D modeling, animation, and special effects.
Gaming Companies	Gaming companies use data processing for huge amounts of rendering and to power their online gaming platforms, which require fast processing speeds and low latency to provide a seamless gaming experience.
AI Companies	AI companies use data processing power to train machine learning models and run complex algorithms. This is essential for developing AI technologies that can recognize patterns, understand natural language, and make predictions.
Architecture and Design	Architects and designers use data processing to render 3D models of buildings, landscapes, and other designs. This allows them to visualize their designs in realistic detail and make changes before construction.
Education and Research	Educational institutions and research organizations use data processing to visualize scientific concepts and data. This includes simulations of physics, chemistry, and biology, as well as visualization of large datasets.
Technology Companies	Technology companies such as Google, Amazon, and Microsoft are among the biggest buyers of data processing power. They use it to power their cloud computing services, which offer businesses and individuals access to on-demand computing resources.
Research Institutions	Research institutions such as universities and government agencies often need large amounts of data processing power to run simulations and models, analyze large datasets, and conduct scientific research.
Financial Institutions	Financial institutions such as banks and hedge funds use data processing power to analyze large amounts of financial data, make predictions about market trends, and execute trades.
Healthcare Sector	The healthcare sector uses data processing power to analyze large amounts of patient data and conduct research into new treatments and cures. This includes applications such as genomic sequencing, medical imaging – such as CT scans, MRI scans, and X-rays, and drug discovery, which all require high-performance computing resources.
Automotive and Aerospace	The automotive and aerospace industries use data processing to design and test vehicles and aircraft. This includes simulations of aerodynamics, stress testing, and crash testing.
Manufacturing	Manufacturers use data processing to simulate manufacturing processes and optimize production. This includes simulations of assembly lines, robotics, and machining.
Individuals and Small Businesses	Smaller businesses and individuals, (like YouTubers and influencers) also buy data processing power for personal use, to run complex simulations or models or perform any data processing task where they prefer to buy computing power on demand instead of purchasing and maintaining their own servers.

The demand for data processing power is immense, and growing daily, and there exists a huge opportunity in meeting this demand. Don't just take our word for it, have a look at the following sources of information:

• According to a report by Grand View Research, the cloud computing market size was valued at USD 266.0 billion in 2019 and is expected to grow at a compound annual growth rate (CAGR) of 14.9% from 2020 to 2027. The report cites the increasing adoption of cloud computing services by various industries, including healthcare, retail, and finance, as a key factor driving the market growth.

• A report by MarketsandMarkets estimates that the high-performance computing (HPC) market size will grow from USD 32.11 billion in 2019 to USD 49.43 billion by 2024, at a CAGR of 9.0% during the forecast period. The report identifies research institutions, governments, and commercial organizations as the major end-users of HPC solutions.

• According to a report by Allied Market Research, the global financial services application market was valued at USD 103.66 billion in 2019 and is projected to reach USD 193.14 billion by 2027, growing at a CAGR of 8.3% from 2020 to 2027. The report notes that the increasing adoption of advanced technologies such as machine learning and artificial intelligence in the financial services sector is driving demand for data processing power.

• A report by Technavio predicts that the global online gaming market will grow by USD 21.44 billion during 2020-2024, progressing at a CAGR of over 11% during the forecast period. The report cites the increasing popularity of online gaming and the availability of high-speed internet as key drivers of market growth.

Powering the Game

GAIMIN has identified a source of available distributed processing power, capable of being harnessed to create a processor power supply network adept at delivering large-scale decentralized data processing solutions.

The source of this immense data processing capacity is the computational power of the 1.6+ billion-strong global PC gaming community.

The Gaming Industry

Gaming was a $175 billion global industry in 2021, with PC-based gaming comprising around 20% of the market.

NewZoo: 2021 Global Games Market

NewZoo: 2021 Global Players

Gamers invest in their gaming hardware to maximize their gaming experience - of the 1.6+ billion gamers, it is estimated that 500+ million (minimum) utilize an advanced GPU (graphics processing unit). These graphics cards have a powerful processing capacity, described by Jensen Huang, founder, president, and CEO of Nvidia as a “supercomputer”. Huang stated, “Every gamer has a supercomputer in their PC”. Such a high-powered GPU can typically cost around $1000 each (and even over $2000 for the latest 4090 series).

This means the global gaming community has potentially up to $500 billion+ of high-powered computer processing hardware, which either sits dormant for (on average) more than 20 hours a day or even when being used is basically never used to its full capacity, representing the largest unused supply of distributed processing power in the world today.

Not only that, this source of data processing power is fully decentralized, self-propagating, self-powered, self-maintained, and self-upgrading, all of which make it the "perfect data center."

To harness the unused power of the Graphics Processing Unit (GPU) within a gaming PC, GAIMIN has created an optimized, AI-driven, mechanism to deliver supercomputer processing power for applications in the digital ecosystem, generating passive rewards for a gaming PC owner. This PC-based application enables a gamer to allow their device to participate in GAIMIN’s distributed, decentralized data processing network.

This decentralized, distributed supercomputer network is known as gaimin.cloud.

Gamers as GAIMIN Users

The gaming industry is the largest and growing entertainment industry on the planet today. NewZoo predicts there will be 3.328Bn worldwide gamers by 2024.

Gamers are the ideal demographic as users of the GAIMIN platform:

• Gamers have very powerful and valuable computing resources which are often idle or even when in use are almost never used to their potential capacity. The GAIMIN platform allows for automated, passive monetization of these resources.

• Gamers invest significant money in the GPUs that power their expensive gaming computers. On average a gamer only “actively” uses their PC for up to 20% of the day, but leaves their PC switched on. This means they have high-powered resources, like their GPU processing capability, sitting idle for a large number of hours each day (on average), which offers a perfect opportunity for passive monetization.

• Online gaming is inherently a social experience with gamers highly connected via dedicated chat platforms. Player demographic also has high social media activity and online reach and together with the sense of community, this allows for rapid viral growth of popular gaming experiences, and offers GAIMIN’s platform a high probability of achieving viral growth.

• PC gamers are a tech-savvy demographic and fully understand the concept of digital money, digital marketplaces, emotional currency, and virtual assets with limited supply. There is also significant overlap between the gaming demographic and the user adoption demographic of cryptocurrencies.

• Gamers are first adopters of many things online; the gaming community embraced the value of emotional currency, online gold, digital tokens, in-game items, NFTs, and other digital assets a decade before the rest of the world. It is anticipated gamers may well be at the vanguard of mass crypto adoption since the gaming industry, in general, is one of the leading industries in adopting blockchain technology.

However….

• Gaming is an expensive hobby. In-built obsolescence means continual upgrades to hardware and software, in addition to ongoing costs for new games and in-game purchases.

• Typical costs include gaming PCs and accessories, games, and related game-specific costs. A typical gaming setup can easily cost $2,000+, not including ongoing and constant in-game purchases.

The GAIMIN platform offers a solution to one of the gamers’ biggest problems; that of how they can fund their gaming experience. It is free to download, install and use and importantly generates passive rewards.

So, how can a gamer achieve rewards from passive participation in gaimin.cloud?

• Gamer’s PC’s are connected to the Internet by high-speed connections which allow their processing power to easily be aggregated to gaimin.cloud ready for monetization.

• GAIMIN monetizes this GPU power without affecting gaming performance and rewards the gamer with purchasing power. The GAIMIN platform has a simple control that allows the users to decide how much of their computational power is contributed to passive monetization.

• Gamers can utilize their contacts via chat and social media and gaming “channels” via the GAIMIN “Network Expansion Program (NEP)” referral system and be rewarded with an ongoing 10% of the processing power contribution of anyone they refer. By simply referring just 10 additional gamers this effectively doubles the user’s contribution and accordingly, their rewards.

• No ongoing effort or knowledge is needed by the gamer. A gamer only has to download and install the GAIMIN platform and tell some friends! No knowledge needed. The "GAIMIN Machine Learning Powered Engine" handles all aspects of monetization.

• The GAIMIN software does not overclock or use any other such practices which may cause any additional degradation to the user’s gaming PC than would playing any of the most popular online games.