TL;DR

• Bless Network provides a new distributed infrastructure solution to meet the explosive growth of AI computing demands. Traditional centralized cloud infrastructure fails to address key challenges in stability, accessibility, and cost.
• Bless powers its distributed edge computing by utilizing idle resources from everyday devices like MacBooks and PCs. The platform ensures stability through automated orchestration, enhances security with WASM-based isolation, and reduces costs to 10% of traditional cloud services.
• Bless offers decentralized support for blockchain, provides an efficient platform for developers, and improves computational accessibility for retail users. The platform will become core infrastructure for industries requiring real-time computing, from autonomous driving to smart cities.

1. AI: From the Productivity Era to the Production Era

AI technology has reached a turning point. It is no longer just a tool for enhancing human productivity. Today, AI can perform meaningful work and generate independent value with minimal human guidance. Today's AI agents can analyze complex scenarios, make autonomous decisions, and execute advanced tasks. Agents can generate in-depth reports and program at the level of advanced developers.

Source: CES 2025

What was once considered a distant future is now just the beginning of disruption. At CES 2025, NVIDIA CEO Jensen Huang stated, “AI technology is redefining the fundamental way every industry operates.” Huang believes that AI will change the way businesses operate, reshape value creation, and impact every aspect of daily life.

2. Challenges of AI: Stability, Accessibility, and Cost

With technological leaps, the adoption rate of AI has surged. OpenAI's ChatGPT reached 100 million monthly active users (MAU) just two months after its launch. This achievement marks a growth rate that surpasses other applications. This growth trend is not limited to initial user interest. The sustained momentum indicates a fundamental shift in how we use technology.

OpenAI's Service Availability Heatmap, Source: OpenAI

However, the widespread use of AI tools among consumers has put immense pressure on existing power infrastructure. Large language models (LLMs) require substantial computing resources, and high user traffic often leads to service interruptions. OpenAI's service availability heatmap over the past three months shows frequent congestion.

To meet the growing demand for AI usage, businesses and governments are expanding data center infrastructure. The Stargate project in the U.S. is an example of this trend. However, relying solely on centralized systems cannot sustain AI operations. As usage increases, the pressure on existing servers also rises. Additionally, users far from data centers experience slower response times, reducing performance.

Cost is another major challenge. Training and running AI models require significant investment, making it difficult to establish a sustainable business model. For example, Deepseek initially gained market attention with low prices but recently raised its API fees fivefold. Similarly, OpenAI remains in a loss position, relying on external funding to maintain operations.

Centralized infrastructure cannot address these core challenges. The industry needs a more distributed solution. Bless offers a decentralized solution that addresses key issues in today's AI landscape. By leveraging distributed edge computing, Bless creates a scalable and efficient infrastructure capable of meeting the growing demands for AI services. This decentralized model enhances accessibility, reduces costs, and provides more reliable AI solutions for an expanding market.

3. Bless Network: A New Computing Paradigm for the AI Era

Source: Bless Network

Bless was founded by alumni from Binance Labs and Akash Network and has raised $8 million in seed funding. The project is developing a distributed edge computing network to meet the growing demands of the AI era. Currently, Bless operates a testnet on Solana, attracting over 2.7 million users.

Bless utilizes the idle computing power of everyday devices like MacBooks and PCs. The network leverages community computing resources instead of relying on centralized data centers. It handles a diverse range of tasks, including AI inference, data processing, and web hosting. The system allocates workloads based on device capabilities. High-performance devices run AI model training, while other devices handle simpler tasks. Developers can access a transparent, stable, and cost-effective computing environment. This decentralized approach provides scalable and flexible computing infrastructure for anyone in need of computing resources.

4. Clear Incentive Mechanism for Distributed Computing Infrastructure

Bless provides clear incentives through its token economic model. Node operators earn Bless tokens by providing idle computing resources. Service users purchase computing resources using these tokens based on their needs.

The platform allocates 90% of the tokens paid by users to node operators. From this revenue, 10% goes to the treasury. Another 10% is used to support network value stability through buybacks and token burns. This transparent economic structure creates clear incentives for participants, promoting sustainable growth and expansion of the network.

Web3-based token economics provide an ideal framework for building distributed computing infrastructure. Unlike traditional centralized cloud systems constrained by corporate and regulatory limitations, Bless builds an open, token-based network that welcomes global participation. This decentralized approach operates independently of national regulations, allowing users to access computing resources without the constraints of centralized payment systems.

Bless allows anyone to participate without the need for specialized equipment or technical knowledge. As the performance of personal devices continues to improve, contributing to the network becomes easier. This design attracts more participants as it enables users to earn stable income through rewards. Over time, this structure has the potential to evolve into a universal basic income (UBI) model.

5. Three Major Advantages of Bless: Cost, Stability, and Security

5.1. Stability: Dynamic Management through Automated Orchestration

Bless ensures the stability of its infrastructure through automated orchestration. The system analyzes network status in real-time and allocates tasks to the most suitable nodes. This approach is similar to Uber's ride-sharing model. Traditional taxis have limited responsiveness due to fixed locations and vehicle constraints, while Uber optimizes driver allocation based on real-time demand and traffic conditions. Similarly, Bless provides reliable service by leveraging globally distributed user devices instead of relying on centralized infrastructure.

Source: Bless Network

Bless optimizes task allocation by evaluating factors such as workload type, node performance, historical reliability, current status, and geographical proximity. It assigns long-running processes to highly stable nodes and places serverless functions on nearby nodes to ensure faster execution and reduced latency.

Bless enhances network efficiency and security through advanced technology. It uses simulated annealing (an optimization technique) to assess node response times and hardware performance. Additionally, it employs a mathematical method called Greek-Latin square distribution to randomly allocate workloads across multiple nodes, preventing manipulation and enhancing network security.

Automated orchestration also supports rapid failover. Geolocation-aware gateways and continuous health check systems monitor node performance in real-time. When a node fails, the system immediately reallocates workloads to the nearest qualified node, minimizing downtime. Bless guarantees sub-second failover, reallocating tasks within 800 milliseconds to ensure uninterrupted service.

5.2. Cost Reduction: Economic Benefits of Utilizing Idle Resources

Bless offers a cost-effective alternative to traditional cloud services by leveraging distributed edge computing. Traditional cloud services require significant investment in data centers. Companies must build physical infrastructure, manage facilities, and ensure continuous power supply. These fixed costs increase service fees for end users.

However, Bless reduces end-user costs by utilizing the idle computing power of personal devices and achieves sustainable delivery through automated orchestration (as mentioned in the previous section). This model eliminates the need for data center construction and lowers operational costs to about 10% of traditional cloud services.

Managed cloud services simplify IT operations, but the growing demand for AI computing brings new challenges. According to IDC (International Data Corporation), global public cloud spending is expected to reach $805 billion by 2024 and double by 2028. To remain competitive, businesses must adopt cost-effective solutions.

Source: Our World in Data

Bless provides a scalable and affordable alternative. The improvement in the technological capabilities of personal devices has led to an increase in the potential supply of idle computing resources, thereby strengthening the decentralized and sustainable infrastructure supporting the AI era.

5.3. Security: WASM-Based Isolated Environment

Security is crucial for distributed computing. The system must prevent malicious code and protect developers' code and data. Bless addresses these risks through a WebAssembly (WASM)-based secure runtime environment.

Bless's WASM security framework is like a bank vault. Developers (clients) store their code and data in the WASM environment (vault). Node operators (bank employees) execute tasks but cannot access these storages, ensuring strict security.

Additionally, WASM optimizes performance and protects business logic through ahead-of-time (AOT) compilation and bytecode obfuscation. It protects runtime data through memory encryption. WASM provides TEE-like security through software-based isolation, eliminating the reliance on hardware-based isolation systems like Intel SGX or AMD SEV.

This secure environment ensures the transparent operation of AI agents. Since the code runs in an isolated environment, the system can verify whether the AI agent operates autonomously without human intervention. With advancements in zero-knowledge proof (ZKP) technology, this security framework will become even more robust.

6. Exploring New Possibilities in Distributed Edge Computing

6.1. Addressing the Centralization Issues of Blockchain Infrastructure

Currently, the blockchain ecosystem heavily relies on centralized cloud infrastructure. Most blockchain validators run on AWS, Google Cloud Platform, or Microsoft Azure. Decentralized applications (dApps) also operate on the same centralized platforms. These services provide stability but conflict with the core decentralized principles of blockchain.

Bless offers a solution through a geographically distributed network of nodes, enhancing security and stability while providing additional fault protection. More participants increase the level of decentralization and improve the resilience of the network. This model supports blockchain validators and dApp developers, providing a more independent and scalable infrastructure.

6.2. Providing Developers with an Efficient Development Platform

Bless offers developers an efficient development environment through distributed edge computing, adopting a local-first approach to run tasks on nearby nodes. This method reduces latency and improves service stability. Netflix's CDN (Content Delivery Network) employs a similar model to ensure a smooth streaming experience for users worldwide.

The Bless CLI provides everything needed for project management to deployment handling. Developers can deploy websites or front-end applications to Bless's infrastructure with a single command. The platform offers testing and monitoring capabilities. The WASM runtime environment supports programming languages such as Python, JavaScript, Go, and Rust. Developers are free to code in their preferred languages.

Bless provides a serverless computing environment called Functions, similar to AWS Lambda. Triggers automatically execute tasks based on network and on-chain events. These functions offer a flexible and efficient development environment.

6.3. Offering New Possibilities for Retail Users

The demand for high-performance computing is rapidly growing. In many cases, advanced AI models like Deepseek's 70B+ require computing power that exceeds the capabilities of personal computers. Bless's distributed infrastructure enables users to quickly and easily access these LLMs.

Bless also has strong potential in the gaming industry. As game graphics advance, players require high-performance hardware. Bless leverages distributed computing to provide high-quality rendering at a lower cost. It offers a viable alternative.

Moreover, users can share their computing power and earn income. This creates new economic opportunities in the digital age.

7. Bless: Expanding to a Global Computing Grid

Bless supports not only AI but also industries requiring real-time processing, such as autonomous driving, smart cities, and medical diagnostics. These industries require low-latency computing, making edge computing more effective than a single data center. Bless meets this demand with a flexible distributed architecture, aiming to become critical infrastructure for advanced industries.

Bless is expanding to meet the growing demand. Through a Chrome extension, the network now supports 800,000 daily active users (DAU) and has registered over 2.7 million nodes.

Bless plans to introduce three new types of nodes:

• Desktop Nodes: Standalone applications for long-running workloads.

• CLI Nodes: Docker-based solutions for institutions and professional operators.

• Nested Nodes: Opt-out nodes that automatically contribute computing power when users open supported applications.

Nested nodes enable easy network expansion. Users do not need to install anything; computing power automatically scales as more users access supported applications. This model follows Bless's network-neutral application (nnAPP) paradigm.

The system connects devices like MacBooks, PCs, and servers in real-time as distributed nodes, enabling instant access to global computing resources. This eliminates geographical limitations and lays the foundation for a global computing grid. Bless aims to create a universal infrastructure capable of supporting the computing needs of various high-tech fields.

8. Conclusion

The AI era requires infrastructure capable of handling surging workloads. Relying solely on data centers cannot meet this demand, especially as cost and latency issues persist. Bless addresses these challenges through a decentralized model that leverages idle resources.

This approach is not just a technical solution. It prioritizes equitable distribution of accessibility and computing power to reduce the global computing gap. Just as the internet expanded access to information, Bless aims to broaden access to AI on a global scale. This vision opens up new possibilities for a more inclusive AI-driven future.

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