Venice AI: A New AI platform for Privacy Protection and Decentralization

Venice AI is an artificial intelligence platform centered around privacy protection and Decentralization. The project was founded by ShapeShift founder Erik Voorhees in 2024 and integrates multiple open-source large models, including Deepseek.

Technical Features

Decentralization architecture

Venice AI is built on the Ethereum Layer 2 network Base, utilizing blockchain technology to ensure data security and Decentralization processing. The platform processes requests through a distributed GPU network, avoiding central servers storing user data, and all conversation records are only stored on the user's local device.

Open Source Model Integration

The platform uses open-source models such as Meta's Llama 3.3 (text generation), Deepseek, and Stable Diffusion (image generation), supporting continuous community improvements in technology. Users can upload datasets to adjust parameters to meet personalized needs.

Privacy Protection Mechanism

Venice AI adopts a data zero retention policy, not storing user queries or generated content, only requiring an IP address (which can be hidden through VPN), and supports anonymous registration. Tasks such as image generation and code debugging are prioritized to be completed on the user's device to reduce the risk of data leakage.

Core Functions

multimodal generation capability

• Text generation: Supports uncensored conversations, document summarization, creative writing, etc., with response speeds comparable to mainstream AI.
• Image generation: Offers over 70 styles templates, supports high-resolution output, and the Pro version is watermark-free.
• Code Assistance: Can generate code snippets, debug programs, and supports file upload analysis.

Document and Data Analysis

Supports PDF document parsing, automated data visualization, and handling of sensitive research projects, suitable for confidential scenarios.

API and Scalability

Pro users can access the API, integrate it into third-party tools or workflows, and customize system prompts to adjust AI behavior.

Core Advantages

Privacy and No Censorship

Venice AI does not set content filters, allowing for free expression, which is particularly appealing to privacy-conscious users. Local storage and blockchain technology ensure that data sovereignty belongs to the users, avoiding corporate surveillance.

Flexible Business Model

• Free version: 25 text interactions and 10 image generations per day, suitable for light users.
• Pro Version: $8 monthly (or $149 annually), provides unlimited text, daily 1000 image generation, HD output, and Decentralization mode option.

Community-driven and transparency

50% of VVV tokens are allocated to users and the AI community, incentivizing ecological participation through token economics. Open source code allows third-party review, enhancing trust.

Potential Challenges

• Content Risk: The lack of a review mechanism may lead to the spread of misleading information or content abuse, requiring user self-discipline.
• Functional limitations: Dependence on open-source models may result in weaker capabilities (such as complex logical reasoning) compared to closed-source competitors.
• User Experience: Advanced features (such as model training) have a high barrier for non-technical users.

Token Mechanism

The total supply of VVV tokens is 100 million, mainly used to enhance inference capacity. Stakers can increase the number of API requests based on the amount staked, with a 7-day cooling-off period for withdrawals.

Token Distribution:

• 25 million tokens for 100,000 early users
• 25 million airdropped to eligible Base users
• 35 million coins held by Venice (of which 10 million are for the team, linearly released over 24 months)
• 10 million tokens for the Venice incentive fund
• 5 million tokens for liquidity deployment on Base DEX Aerodrome

User Data

Since its launch in May 2024, Venice AI has attracted 400,000 registered users, with daily active users reaching 50,000 and processing 15,000 inference requests per hour.