How RENDER solves the problem of GPU mining energy

However, as crypto developed, PoW-based systems were no longer reliable, especially from the scalability perspective. Projects like Ethereum switched from PoW to PoS for enhanced energy efficiency and leveraged staking instead of mining. On the other hand, those who continued mining updated their processing units from GPU to ASICS for performance, as they would overheat from solving complex mathematical problems.

GPUs can still be useful in the crypto environment, and the Render network proves this by redirecting all of the energy into the creative field. The cloud rendering feature distributes unused GPU outputs for creators interested in AI integration or 4D Cinema. Its popularity has boomed recently, and those who want to be the first to invest in this emerging project can make a Render price prediction 2025 based on the project’s success in adopting new technologies like Solana and the Burn and Mint Equilibrium model.

Here's what Render is about.

The Render Network created a community in which node operators can monetize their unused GPU energy by selling it to creators who want to improve their 3D rendering work. This decentralized peer-to-peer ecosystem could also be used for numerous decentralized systems where scalability, speed, and economic efficiency are needed.

The network's users operate transactions based on the governance token RNDR, through which others are rewarded for their rendering jobs. Render offers enhanced solutions compared to centralized cloud products because it supports renting out GPU energy that would’ve been wasted otherwise.

Creators can also leverage the GPU energy to train AI models, which is one of the organization’s next steps in rendering. Render collaborated with Stability AI and Endeavor to improve their infrastructures and standardize IP rights, which is why many consider Render an emerging AI technology.

As a decentralized network, Render supports high levels of scalability since it provides creators with infinite access to numerous GPU power-sourcing systems. At the same time, it protects creators and platform users by encrypting assets and limiting individual asset storage for certain periods.

The transparent and fair pricing system contributes to creators developing:

● High-quality graphics in films, games, and every other type of media. The Render Network was used in the creation of opening title moments from series like the fourth season of Westworld;

● AI and machine learning tasks, known as jobs. Node operators can work on jobs for improving AI-generated graphics at high quality for lower costs through the Render Network;

● Architecture and product design with superior 3D visualization. The GPU rendering technology allows architects to establish immersive ecosystems while product designers prototype any texture and colors;

Besides the network’s use case as a technology, the economic system involved is approaching burning and minting to push for the token’s value. Render’s tokenomics model BME involves the burning of RNDR to create new jobs, while those not holders of the cryptocurrency will have to buy it to create a job. Therefore, demand is established continuously.

Render is also used for governance, structuring holders on the DAO to submit and vote for proposals. The number of tokens held is important for the voting power, but all owners have access to proposals on the governance portal.

The Render coin has another use case, paying for users’ jobs on the network. Every job has a different cost based on the GPU power needed for rendering the graphics, which is measured through the tool OctaneBench that defines it.

Although GPU products aren’t that popular anymore for mining, the activity is problematic due to its contribution to climate change. Bitcoin mining, especially, still leverages a proof-of-work consensus mechanism that generates greenhouse gas emissions equivalent to 65.4 megatons of CO2 yearly.

Since mining depends on fossil fuels, environmentalists have made efforts to change the industry by offering renewable solutions for mining rigs, especially since mining farms are becoming increasingly popular in remote areas. Hence, some mining companies have approached solar and wind energy, which has proved to be efficient in reducing mining costs and lowering the effects on the environment.

While some consider Bitcoin can never go green, the increasing number of sustainable crypto projects might help sustain the industry's strive for adoption. Algorand, Cardano, and Solana are only a few of the many green coins.

With all the scalability and sustainability issues, the cryptocurrency industry faces considerable challenges in becoming the financial future. However, there might be chances of innovation and changes with the help of artificial intelligence, another emerging technology that has the potential to bring more functionality to the table.

Render is already leveraging the power of AI, and so could the entire crypto industry. With AI, users could benefit from enhanced market analytics and automated portfolio adjustments based on trends and historical price swings. AI learning models can enhance automated crypto trading by gathering data from reliable sources. Indeed, there are risks considering the current technology because AI tends to be biased in light of the data sets introduced, which can be even more confusing for investors.

Still, developers are making progress in terms of the methodology required for AI to be helpful in crypto. In the future, we might be able to support correct automation to withstand market volatility and support blockchain projects. For now, we also need government regulation regarding AI usage.

The Render network proposes a solution for the endless unused GPU energy and power from users by offering it to creators in the entertainment and media fields for rendering their works. Platform users can hold Render for increased value and more governing power, but they can also pay creators to establish their projects through the GPU power service.