1. About SOLLONG.AI
1. DEPIN network based on real computing power
In today's digital and intelligent era, the demand for computing resources has risen sharply. In order to meet this challenge, SOLLONG has created an efficient and reliable distributed computing network (DEPIN), which has completely changed the traditional computing model. Through the DEPIN network, SOLLONG makes full use of globally distributed computing resources to provide users with powerful computing power. This not only improves computing efficiency, but also significantly reduces costs, making powerful computing power within reach.
SOLLONG's DEPIN network is not only a technology platform, but also a pioneer dedicated to building a borderless Web3.0 ecosystem. Through decentralized technology, SOLLONG breaks the limitations of the traditional centralized Internet and creates an open, transparent and highly interconnected network environment. In this ecosystem, every participant can contribute and benefit, truly realizing the vision of a decentralized Internet.
The efficiency and reliability of the DEPIN network make it an ideal choice for a variety of complex computing tasks. Whether it is large-scale data processing, deep learning model training, or real-time data analysis, SOLLONG's DEPIN network can provide excellent performance and stability. Through this innovative network architecture, SOLLONG not only improves its own technical strength, but also provides users with an unprecedented computing experience.
2. Providing MaaS (Model-as-a-Service) one-stop service
In the field of artificial intelligence (AI), model development and deployment often require complex technologies and a large amount of resources. SOLLONG's Model-as-a-Service (MaaS) is designed to solve this problem. Through MaaS, SOLLONG provides users with a one-stop AI model service, covering the entire process from model training to deployment.
SOLLONG's MaaS service is highly flexible and efficient, and can meet the diverse needs of different users. For model training tasks that require large-scale computing resources, SOLLONG provides powerful cloud service reasoning support. Users only need to upload data to the cloud, and then they can use SOLLONG's powerful computing resources for model training and reasoning, and easily complete complex AI tasks.
At the same time, SOLLONG also takes into account the needs of localized model training. By optimizing lightweight models, SOLLONG's MaaS service can run efficiently on local devices, providing users with a convenient AI application experience. This flexible deployment method allows both large enterprises and individual developers to easily enjoy the convenience brought by AI technology.
SOLLONG's MaaS service not only simplifies the development and application process of AI models, but also significantly reduces the technical threshold and cost. Users can quickly deploy and apply AI models without professional AI knowledge or huge computing resources. Through this innovative service, SOLLONG provides users with a simple, fast and efficient AI solution, promoting the popularization and application of AI technology.
2. The foundation of DEPIN-AI
As DEPIN computing power continues to increase, SOLLONG continues to optimize its algorithm and model performance and officially launched a new APP. Relying on a solid computing power foundation and rich AI implementation experience, SOLLONG aims to create a barrier-free, multi-port decentralized MaaS through DEPIN, so that every user can have an independent AI economy.
1. Vision of the SOLLONG Foundation
The original intention of the SOLLONG Foundation was to create an open and decentralized AI ecosystem using decentralized computing (DEPIN) and artificial intelligence (AI) technologies. We believe that DEPIN technology can fully utilize the global decentralized computing resources to provide powerful computing support for the training and reasoning of AI models, significantly reduce costs and improve computing efficiency.
2. AI technology solutions
• Lightweight model: Select a lightweight model or optimize the original model, such as quantization, to reduce the model size and computational complexity and improve operating efficiency on different terminals.
• Utilization of dedicated hardware: Leverage hardware integrated by mobile phone manufacturers specifically for AI computing and perform algorithm optimization, such as Google’s TPUs or Apple’s Neural Engine, to perform AI tasks more efficiently on mobile phones.
• Localized model training: Perform lightweight model fine-tuning or incremental learning on the mobile phone to adapt to specific user needs or scenarios.
• Federated Learning: Using a federated learning approach, the model training task is distributed to multiple participants without sharing the original data, and the updated model parameters are aggregated to improve model performance and protect privacy.
3. Break the AI monopoly and realize the era of AI for all
Currently, large centralized companies such as Microsoft and OpenAI have monopolized AI technology, limiting the creativity and data usage of the public. SOLLONG's vision is to break this monopoly and realize the era of universal AI without barriers through the following three points:
1. Decentralized access: Users can access multimodal large-scale applications through convenient methods such as DAPP/APP and HTML5, and achieve rapid growth through "earning by conversation" and "earning by creation" strategies.
2. Decentralized computing: Leverage the decentralized DePIN computing power of the Web3 industry to achieve reasoning, training, and fine-tuning of multimodal large model applications, reducing overall costs by more than 50%.
3. Decentralized Modeling: Developers can easily develop multimodal large-model applications or deploy proprietary models through the Model-as-a-Service hosted on the DePIN network. Users can get rewards by creating AI agents, using AI to generate NFTs, etc.
3. Towards an AI future without barriers
SOLLONG adopts the AWS + GPT Store business model, provides rich API encapsulation services, and supports image generation, large-scale dialogue, role-playing robots, AI face-changing and other functions. Supported by cloud-native enhanced DePIN, SOLLONG uses the Tokenomics system to incentivize computing power providers, AI users and AI creators to jointly build a sharing economy.
Our technical architecture supports distributed low-memory training and reasoning, and uses technologies such as tensor parallelism, data parallelism, and pipeline parallelism to enable GPUs with smaller memory capacity to participate in computing. Multimodal large models use deep learning technologies such as CNN, RNN, and Transformers to integrate text, image, audio, and video data to enhance the understanding and adaptability of AI Avatar.
By leveraging DePIN computing power and model services, SOLLONG has significantly reduced computing and development costs. With platforms such as Telegram and HTML5, we have also reduced user access costs and are committed to building a prosperous on-chain AI network. Thank you for your participation and look forward to working with you towards a barrier-free AI future!
