Home web3.0 How GoMining is revolutionizing Bitcoin mining through NFTs

How GoMining is revolutionizing Bitcoin mining through NFTs

Jul 16, 2024 pm 08:31 PM

How can retail investors profit from Bitcoin mining after the halving slashed profit margins? The 2024 Bitcoin halving event reduced the block reward to 3

How GoMining is revolutionizing Bitcoin mining through NFTs

The rapid advancements in AI modeling and machine learning have led to an explosive increase in the demand for GPU resources. The growth of the AI market has resulted in a surge in demand, now exceeding three times the current global GPU supply capacity of cloud services. In response, the CEO of OpenAI has requested a $7 trillion investment for in-house semiconductor production.

Meanwhile, retail investors are seeking new ways to generate income following the Bitcoin halving event, which has significantly reduced the profitability of BTC mining. A new report from Cointelegraph Research sheds light on the current state of the mining ecosystem and the latest developments in both the economic and technical domains.

The report also delves into novel approaches to making Bitcoin (BTC) mining accessible to retail investors, such as GoMining's integration of gamified BTC mining with Non-Fungible Tokens (NFTs).

Interested readers can download the full version of the report free of charge here.

The impact of the Bitcoin halving on mining profitability

Over the years, the hashrate of the Bitcoin network has exhibited a pattern of exponential growth, punctuated by periods of substantial deviation from this trend. These deviations typically occur when miners are compelled to upgrade to newer and more efficient hardware prior to each halving event, followed by a shutdown of older mining rigs after the halving event.

While the total Bitcoin hashrate is indeed increasing exponentially, the performance gains realized by individual mining rigs are advancing at a slower rate.

This shortage in GPU supply presents a unique opportunity for decentralized GPU cloud services such as GPGPU, which are playing a pivotal role in the AI industry and the GPU chipset market. GPGPU is essentially aggregating idle GPUs around the world into a decentralized network, thereby enabling high-performance computing at a low cost. Furthermore, GPGPU is planning to establish an AI data marketplace, facilitating the sharing and trading of big data and AI models among AI companies across diverse fields.

After the successful examples of Render Network and Io.net, GPGPU is also setting up an incentive program to reward early participants in the project, much like the 1.14 million RNDR tokens that were distributed to early suppliers by Render Network to great effect. According to GPGPU, they will be announcing an incentive program that will reward platform contributors, including GPU providers, users and node validators.

These decentralized GPU cloud services are presenting a compelling alternative for companies and institutions that have previously utilized centralized cloud systems, enabling both cost savings and performance improvements through decentralized GPU cloud solutions, which ultimately facilitate greater research and development opportunities for users, companies and institutions alike.

Game developers, film and animation studios and other entities that possess their own GPU server centers can essentially recover the costs of constructing these systems by offering their idle GPUs through GPGPU. On average, GPU server centers operate at less than 50% capacity, often remaining idle when not required for in-house service development or rendering tasks, thus making decentralized GPU cloud services mutually beneficial to both providers and users.

GPGPU, which is garnering a great deal of interest in the market, has the potential to revolutionize the AI industry in impactful ways, so it will be interesting to observe the project's continued development and success. Many are eagerly awaiting the unfolding of its potential, To learn more about this project, please visit its website.

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