1: What is this project? What is the thing to do? Is the problem being solved a concept? Pseudo demand? 1. rndr is the first decentralized GPU rendering platform, enabling artists to scale GPU rendering jobs to high-performance GPU nodes around the world on demand. Similar to filcoin shared hard drive 2. A blockchain marketplace for idle GPU computing, the network provides artists with the ability to scale next-generation rendering jobs at a fraction of the cost and several orders of magnitude faster than centralized GPU clouds orders of magnitude. 3. What is a GPU? - GPU, which stands for Graphics Processing Unit, is an electronic computer hardware component primarily used to accelerate the creation of images for display on a monitor. - It was originally designed to handle gaming graphics and video content, but is now widely used for other compute-intensive tasks as well. 4. The following are some of the main features and applications of GPU: (After understanding this, it is easier to understand why this project became popular after artificial intelligence came to life some time ago. - Graphics rendering: - GPU was originally designed for efficient rendering Designed for 2D and 3D graphics, they are generally more efficient than central processing units (CPUs) at processing graphics and video content. - Parallel processing capabilities: - GPUs have a highly parallel structure, they contain thousands of cores that can process simultaneously Many tasks. This makes GPUs well-suited for applications that require heavy computations, such as graphics rendering and data processing. - General-purpose computing:- With the development of general-purpose computing on graphics processing units (GPGPU, General-purpose computing on graphics processing units), GPUs are now It is also used for non-graphical computing tasks such as scientific computing, machine learning and deep learning. - Machine Learning and Deep Learning:- In the field of machine learning and deep learning, GPUs are able to process large amounts of data quickly due to their parallel processing capabilities, thereby significantly Accelerates the training and inference process. - Hardware Acceleration: - Through hardware acceleration, GPU can increase the speed of certain computing tasks, such as video encoding and decoding, image processing, and physics simulation. - Virtualization and Cloud Computing: - GPU is also used Virtualization and cloud computing environments to provide high-performance graphics and computing services. - Cryptocurrency Mining: - GPUs are also used for mining of cryptocurrencies such as Bitcoin and Ethereum due to their ability to perform hash functions efficiently and other encryption algorithms.5. Can retail investors rent hard drives? Can retail investors rent GPUs? - In fact, most of the retail investors who participate in filcoin mining have purchased new equipment and have not actually used their idle computer hard drives to mine. - Therefore, it is impossible to rent graphics cards from retail investors because they are too noisy and will greatly damage the performance of the computer. The service life is reduced and normal office work is affected. If the income is high, I will buy a separate computer. If the income is low, I can't afford it. 6. Then, in the future, will it be possible for large companies that really have demand to come and rent these GPUs? The probability is not high in the short term. This is the fact. Large companies will choose to buy business secrets directly instead of renting them. core competitiveness. - Baidu, ByteDance, Tencent, Alibaba - These four companies have jointly purchased $1 billion worth of graphics cards, totaling about 100,000 A800 processors, which are planned to be Delivered this year. - Purchase details of other Internet companies: - China's Internet giants are urgently purchasing high-performance Nvidia chips that are critical for building generative artificial intelligence systems, with a total order value of US$5 billion - Future plans: - In addition, There are $4 billion in graphics processing units planned for delivery in 2024. Musk also bought a large number of graphics cards to develop artificial intelligence. Autonomous driving of cars also requires graphics card calculations. 7. If big companies don’t use it, who will use it in the future? Blockchain project parties, individuals and small and medium-sized enterprise entrepreneurs (in fact, there are also centralized companies that rent servers to compete) 2: What are the advantages and prospects compared with market competitors? Is there a future in the competition? 1. The currency circle has a clear first-mover advantage. 2. Nvidia, the leader of the centralized graphics card company, has seen its stock value increase by approximately 190% as of October 1, 2023. NVIDIA's market value is US$1.07 trillion, but the popularity of centralized GPUs can also drive the popularity of decentralized companies. Four: What about the future unlocking and selling pressure of the token? There are still 30% that have not been unlocked. Five: How strong is the founding team of the project? How is the community operating? The startup did not disclose how much funding it raised, but its lead investor Multicoin Capital told The Block that Render Network has raised $30 million in token funding.Other investors in this round include Alameda Research, Solana Foundation, Sfermion and angel investors Vinny Lingham and Bill Lee. Six: If it goes up, how high are the expectations for the next bull market and the multiple? If it goes down, what will happen in the future? If it goes down, to what extent will it fall. 1. The application has been implemented and the product has been released. If it rises, it is possible for this track to reach a market value of 100 billion U.S. dollars. Today, the market value is 600 million U.S. dollars. It is considered an unlocked token. This coin has 100 times the potential. 2. Falling, the range is from 0.5 US dollars to 1 US dollars. Today’s price is 1.7 US dollars, so there is still a lot of room. Seven: Summarize his advantages and disadvantages? Overall score. The full score is 93 points out of 100. If the high-quality potential project falls to the range of 0.5-1 US dollars, it can be scored 95 points. 1. Although it may not be applicable on a large scale, the story is easy to tell and the track is very good. It is the infrastructure of AI and is easily hyped by capital. 2. The disadvantaged project party needs to increase the scale of marketing, consolidate its industry position as soon as possible, and stabilize distributed GPUs. The boss position.