Into the 21st century, the traditional industry gradually combined with new industries, based on the Internet, so that many industries have been a revolution such as new retail, new manufacturing, new finance, new technology, new energy and so on. From the industrial era of the last century, we used oil and coal as the basis of the old energy to provide power for the development of science and technology. And highly Internetized nowadays, the new industry in addition to the need for basic energy, more bandwidth, storage, and arithmetic as the industrial level of development in the resources of the Troika. In the field of high-end technology, the demand for computing power is higher than the bandwidth and storage, so for the development of high-end technology, computing power to some extent determines the level of development of science and technology.
As for the arithmetic power, there is actually another analogy that can clearly understand the importance of arithmetic power at the moment. In the era of the digital economy or the era of the industrialization of the Internet, big data is the oil, arithmetic is the engine. So for the data, is to continue to promote the development of the digital economy of the fuel, and computing power is an “essential” thing, which determines the “car” acceleration and the highest speed, that is to say, computing power to determine the ceiling of the development of new technologies.
The digital economy has shown a growth rate of 3.5 times that of the general economy, and according to research, the return on investment in the digital economy is 6.7 times that of the non-digital economy. Behind the digital economy are more rapid innovations in new technologies, and the impact on other fields is also broader. Therefore, the data capacity and arithmetic demand is in the state of cyclic enhancement, the continuous increase in the amount of data requires arithmetic supporting the evolution of ultra-large-scale data volume on the demand for arithmetic has reached an unprecedented height and intensity. Under the above background, the pattern of the arithmetic industry needs to be reshaped in order to meet the immediate needs of arithmetic in terms of quality and quantity.
As the background of the above, it is not difficult to find that for the current market supply in the field of arithmetic, it seems to be difficult to meet the needs of the current development of science and technology, on the one hand, reflected in the high cost of arithmetic, arithmetic supply in the field of the overall immaturity of the immature and difficult to quantify the industry is non-standardized and infrastructure is insufficient. From a qualitative point of view, the difficulty of matching in the field of arithmetic makes it difficult for demanders to obtain high-quality arithmetic and this indirectly affects the development of new technologies.
With the rise of blockchain technology, through the construction of a new distributed system to allow the arithmetic resources to be re-matched is becoming the new tone of the development of the field, based on which it is expected to promote the digital economy to the next stage of development.
Among the existing infrastructure segments in the distributed arithmetic field, Coinda, RNDR, Dfinity, etc., are all pinned with high hopes. Below we will analyze the three ecologies with potential one by one, to see who is the new arithmetic infrastructure of the new digital era.
Who is the most competitive new computing infrastructure in the Web3 era?
Coinda and Dfinity are both decentralized computing platforms, i.e., they are able to provide computing power services to the demand side of computing power, and they are both located here. Coinda and Dfinity are essentially a computing power-based blockchain system, and they are both able to establish decentralized cloud computing platforms through blockchain technology, and connect a large number of nodes distributed around the world to build distributed computing power hubs. They are able to build distributed computing hubs through blockchain technology and connect to a large number of nodes distributed around the world, which, after using idle computing resources, makes the cost of computing power drop significantly, and the overall supply of computing power is highly efficient and has a high fault tolerance rate.
In addition to the structure of the two chains, there are some differences in the way the roles within the ecosystem work, the biggest difference between the two lies in the source of computing power hardware. Within the Dfinity system, the computing services that can be provided are mainly from CPU computing power, that is, Dfinity can be seen as a decentralized CPU computing power market, while the computing resources provided by Coinda are mainly derived from GPUs.
At present, CPU is the main hardware basis for mainstream centralized cloud computing service providers to produce arithmetic, although both CPU and GPU can produce arithmetic, but relatively speaking, CPU is mainly used for complex logic calculations, while GPU, as a special processor with hundreds or thousands of cores, can carry out massively parallel computation, which is more suitable for visual rendering and deep learning algorithms. Comparatively speaking, the computation provided by the GPU is faster and cheaper than the CPU, and often the cost of GPU computing power is only one-tenth of the cost of the CPU.
At present, GPU computing power has been deeply embedded in artificial intelligence, cloud gaming, autonomous driving, weather forecasting, cosmic observation and other high-end scenarios that require a large number of calculations, especially the concentrated eruption of such high-end industries, the market demand for GPU computing power in the future will be much higher than that of CPU computing power.
So Coinda itself is a distributed heterogeneous high-performance arithmetic network that aggregates a large amount of GPU arithmetic, which can further reduce the cost of arithmetic demand in the high-end technology industry and satisfy it in terms of arithmetic quality. For example, AI model training can further reduce costs through Coinda’s cheap, high-performance GPU computing power.
As for Dfinity’s CPU computing power network, it is mainly dedicated to realizing the blockchainization of popular web application needs, for example, decentralizing information websites, chat software, etc., which is of course equally important for us to build the Web3 world.
RNDR network is built by Otoy, one of the world’s leading companies in the field of graphics, so the RNDR network itself is mainly focused on distributed rendering, RNDR itself builds a blockchain-based distributed GPU computing, rendering network, and 3D content marketplace, so RNDR is mainly aimed at reducing the cost of rendering for users who have rendering needs by pooling unused GPU arithmetic power. The RNDR rendering network introduces distributed GPU rendering to the 3D graphics industry, building a foundation for small and even personal rendering users.
Therefore, for the RNDR network, the application of the GPU computing power system is more targeted, rather than supplying computing power to all technology sectors. It is clear that Coinda is more appropriate for various tech fields that want access to high-performance, inexpensive GPU arithmetic.
From the perspective of building the meta-universe, graphics card manufacturers represented by NVIDIA believe that the GPU largely determines the real effect that the virtual world of the meta-universe can bring when facing the end consumer. With the expansion of the user capacity of the metaverse world, as well as the continuous online and creative needs of AI-led large-scale users, the immediate need for high-performance arithmetic will be endless. Cooinda will be expected to further satisfy the arithmetic gap for the operation and development of the metaverse world through the distributed network of high-performance GPUs, which are the opportunities for Coinda in the future.
Overall, Coinda is more capable of meeting the immediate arithmetic needs of the meta-universe arithmetic ecosystem than Dfinity and RNDR networks, and is expected to become the main arithmetic infrastructure of the new digital era.
Coinda Empowering the new digital era?
Any role with the ability to supply GPU arithmetic can become Coinda’s arithmetic node, which means Coinda will allow GPU arithmetic servers all over the world to become its nodes and ultimately connect into an open and ever-expanding network with unlimited scalability based on incentives, and Coinda also possesses the potential to connect all high-quality arithmetic providers in tandem. Therefore, Coinda itself is supported by powerful arithmetic resources and is expected to become the world’s largest GPU distributed arithmetic network.
In addition, Coinda itself is a decentralized arithmetic network maintained by nodes from all over the world, which means that Coinda is able to expand its arithmetic business globally, allowing users from any region or country to access arithmetic through Coinda. Therefore, Coinda has the ability to provide services on a global scale and is supported by powerful arithmetic resources, which is also the foundation of Coinda’s ability to deeply empower the meta-universe and the AI era.
Another major advantage of Coinda is that the worldwide arithmetic network can be automatically transformed into metropolitan nodes and edge nodes to meet the needs of nearby computing, filling the empty space of traditional cloud computing vendors.Coinda is able to provide more timely arithmetic supply in real time for all kinds of scenarios. For example, as the outline of the meta-universe ecosystem is further clarified, the meta-universe will also continue to take on the functions of the physical world, and further enhance human collaboration efficiency as well as productivity through online means. It is foreseeable that, in addition to the expansion of the scale of demand for computing power in the meta-universe ecology, a large number of real-time AI interaction scenarios will also have high requirements for the immediacy of computing power, and Coinda will be able to become the most important enabling foundation in the operation of the new digitalization.
From the current perspective, with the further development of autonomous driving, AI, aerospace and other technological fields, the global demand for cheap, high-performance arithmetic is very urgent, and the degree of supply of arithmetic will further determine the upper limit of the development of these high-tech fields, and there is still a huge arithmetic gap in these fields. Coinda will also be a strong guarantee for the development of science and technology before the arrival of the meta-universe era, and will further empower the real industry by promoting the development of science and technology.
At present, Coinda has provided arithmetic services for 500+ universities at home and abroad, and for more than 30 technology companies and tens of thousands of AI developers around the world, and nearly 50 vendors around the world have deployed high-performance GPU cloud platforms based on Coinda’s network. With the further expansion of Coinda’s globalization, its global arithmetic market share will become higher and higher.
