We do not enter this decentralized GPU path tentatively or from a position of inexperience. Instead, we have a well-established foundation in this field, originating as a successful IaaS render farm. For over 5 years, we have stood at the forefront of GPU computing, as a preeminent render farm with comprehensive experience and expertise in GPU hardware, AI training, and 3D rendering.
Rynus is not started from scratch
Rynus is the next natural step in our evolution towards a decentralized GPU platform. We are not starting it from scratch but from a powerful centralized GPU render farm – iRender. Our centralized GPU model has served over 200,000 users worldwide, handling millions of AI training jobs and 3D rendering projects, laying solid groundwork for the decentralized GPU platform. We have thoroughly mastered the complexities of the centralized GPU computing model through years of real-world experience on a large global scale.
iRender Centralized Model
Rynus is already halfway
At iRender, we have enhanced four key pillars: Data Transfer, Security, Job Management, and Worker Management.
- Data Transfer: We understand that the lifeblood of GPU cloud computing is the efficient movement of massive data. We have solved this completely with our file transfer app that integrates the most advanced proprietary protocols, helping transfer big data faster and more efficiently. Thousands of terabytes of data have moved seamlessly through our system.
- Security: Security is the bedrock of trust, and trust is core to our business. From day one, we designed our system and infrastructure with stringent protection measures. Customer data is secured behind multiple layers of protection incorporating the most advanced technologies including Data Center Tier III, Two-Factor Authentication, Secure Sockets Layer (SSL), and Secure File Transfer Protocol (SFTP).
- Job Management: Job Management is the conductor of a vast computing system. It efficiently handles tasks for the local worker control such as booting, shutting down, and resetting, etc., allowing the local worker system to operate smoothly and productively. This helps ensure that AI training and 3D rendering jobs are completed as quickly as possible for our users worldwide.
- Worker Management: We have developed and efficiently operated the Worker Manager and Worker Service to oversee the worker system of 1000+ GPUs – RTX 3090/4090 within the local area network (LAN). The Worker Manager allows us to manage machine statuses such as ON/OFF and AVAILABLE/NOT AVAILABLE and enables us to select and coordinate workers when users perform actions with images. Concurrently, the Worker Service carries out coordinated actions under the direction of the Worker Manager, including booting up, shutting down, cloning, snapshotting, and resetting machines. These functions collectively contribute to enhancing the operational efficiency of the entire system.
What steps do we need to take to go decentralized?
At Rynus, the path to decentralization is clear. We understand that a successful DePIN project necessitates a comprehensive approach to solving five key pillars: Data Transfer, Security, Job Management, Global Worker Management, and a Blockchain-based System with transparent and efficient Token utility.
Our current centralized GPU platform has effectively addressed Data Transfer, Security, and centralized Job and Worker Management – backbone elements that also apply to decentralized global environments. iRender’s established centralized GPU model has adeptly tackled half of the aforementioned pillars through years of pioneering cloud GPU computing. The journey to decentralized forward is innovation, not invention. We just need to upgrade to computing job management, transition to internet-based worker management instead of LAN, and integrate the entire system into the blockchain.
Rynus Decentralized Model
We are prepared and ready to go decentralized!
We are confident in our ability to effectively address these remaining pillars.
Having years of experience supporting training and rendering many projects, we have enough data to develop AI cores that can efficiently handle job and worker distribution for Rynus. Specifically, we understand what training and rendering model projects are, their components, best settings, hardware requirements, compatibility, and optimized hardware. This enables us to easily choose, manage, and effectively allocate jobs and workers across the platform as follows:
- AI Training: AI core assists in identifying workers with appropriate hardware for each job and AI frameworks, providing optimal setting suggestions.
- 3D Rendering: The AI core facilitates the selection of suitable hardware for each job and render engine, offering optimal settings recommendations.
- AI Data Labeling: The AI core segments data that needs labeling and distributes it to Workers, and selects those with suitable credit scores based on the job’s difficulty level.
We have extensive experience working with both hardware and software. The Rynus team consists of hardware experts with extensive experience and comprehensive knowledge of hardware from various industry leaders. We have successfully developed technologies that many others cannot. Apart from NVIDIA, we are the only render farm capable of building a supermachine with 8x GPUs (RTX 3090s and RTX 4090s) and effectively integrating it into the system for the most intricate AI training and 3D rendering jobs. Additionally, we have experience working with various render engines and AI frameworks and possess a deep understanding of these software. We have operated a stable iRender Farm supported by strong internal Farm Managers and efficient external apps for file transfer and service utilization. With a strong foundation in hardware and software, we are prepared to adapt to the changes and rapid technological innovations that are shaping a new world.
With a foundation conquering both technology’s face and its heart, we welcome change and are ready for it. The opportunity to shape a decentralized GPU platform falls naturally into our hands after building a solid centralized platform beforehand. And the future exists for us to define a Rynus for all!
We are your Web2 to Web3 bridge
As we embark on the democratizing GPU power journey, we recognize the importance of bridging the gap between Web2 centralized GPU and Web3 decentralized GPU. Our mission is to empower Web2 users to seamlessly transition to the decentralized GPU world of Web3, unlocking a plethora of benefits and opportunities.
Under our Web2 centralized platforms, our render farm alliance has served over 200,000 customers from more than 100 countries worldwide. More than anyone, we have a profound understanding of our users’ needs, preferences, and pain points.
Now, we are excited to take the next step in our journey by bridging the gap between Web2 and Web3. We are streamlining Web3 computing services to make them as simple as Web2, ensuring that all Web2 users can access the benefits of Web3 with ease.
- Unlimited GPU with Diverse Options: Our Web3 is designed to provide a decentralized GPU platform for AI training and 3D rendering, offering unlimited GPUs. Unlike traditional centralized platforms, which are limited by their own infrastructure, our decentralized platform can tap into a vast network of GPUs from various manufacturers from NVIDIA, AMD, to Apple. This means that our customers will have access to a wider range of GPU brands, and models, including Consumer-grade (like the NVIDIA Geforce), Professional-grade (NVIDIA Quadro), and Data center-grade (NVIDIA A100, H100), allowing them to choose the best fit for their specific needs.
- Cheap, Fair, and Transparent Pricing: The decentralized nature of our platform ensures that our users will benefit from lower prices, as they will no longer be bound by the high costs associated with centralized infrastructure. Instead of being dictated by a single entity, our pricing is determined based on computing power’s real-time supply and demand, creating fairness and transparency.
- Easy to use: What sets us apart is our commitment to simplifying the transition process for our Web2 users. We understand that moving to Web3 can be daunting; therefore, we are committed to providing a seamless experience that mirrors the workflow of our Web2 platform. We maintain the simplicity of our Web2 through the Rynus Cloud and the File-Transferring app.
- Barrier-Free: We provide two main services under a SaaS model. These are Web3 AI Training as a Service, which supports all AI libraries and frameworks, and Web3 Rendering as a Service, which supports all rendering software. We will handle all the barriers related to rendering software and AI framework licensing. This means that our customers will no longer have to worry about the complexities of software license or compatibility, and can instead focus on their projects.
Our role is that of a bridge, bringing the benefits of Web3 to Web2 users simply and intuitively. We believe that our unique position, along with our expertise in customer behavior and needs, makes us the perfect option for Web2 users looking to transition to Web3 computing. Join us on this exciting journey as we empower creators to unlock the full potential of decentralized technologies.