BasedAI结合同态加密与大型语言模型的去中心化AI网络，实现私密推理。

4.3 (4)

审阅者 Daniel Nikulshyn·更新 2026年7月

概览

BasedAI 是一个去中心化网络，旨在运行大型语言模型，并内置隐私保障。通过将完全同态加密 (FHE) 技术与 LLM 推理相结合，它的目标是让用户在查询 AI 模型时不必将提示或输出暴露给执行计算的节点。网络将工作负载分发给独立运营商，并通过链上协调激励。开发者可以部署或访问隐私保护模型端点，而节点运营商则提供计算资源以换取奖励。此架构适用于对机密性、抗审查性或数据主权至关重要的场景，如企业文档分析、敏感聊天应用和受监管行业。

主要功能

同态加密保护输入和输出
去中心化LLM推理网络
节点运营者的链上激励
支持私密API访问
跨独立节点的分布式计算
支持保密AI应用

价格

模型: Free
分类: 中3子格导
评分: 4.3 / 5 (4)

使用场景

私密数据分析

研究机构和组织可以利用BasedAI进行保密数据分析建模，而无需泄露敏感信息。

去中心化内容生成

内容创作者可以利用BasedAI的去中心化基础设施生成内容，同时保护知识产权并维护用户匿名性。

优点 & 缺点

优点

通过同态加密实现端到端私密推理
去中心化基础设施减少单点故障
节点运营者开放参与
适用于敏感或受监管的数据工作流程

缺点

与标准推理相比，FHE增加了显著的延迟
比中心化AI提供商更小的生态系统
基于代币的经济模型可能使新手用户难以加入
模型选择比主流API更有限

评测

4.3

4 个评分的平均值。

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Ahmed Saleh

Sep 25, 2025

Solid for our team

We rolled this out across the team last quarter and suited for sensitive or regulated data workflows. Homomorphic encryption for prompts and outputs fits neatly into how we already work, and decentralized LLM inference network removed a step we used to do by hand. FHE adds significant latency versus standard inference, which is the main caveat, but it has held up under daily use.

Tomáš Novák

Sep 1, 2025

Does the job

Pretty happy overall. On-chain incentives for node operators just works and open participation for node operators. Smaller ecosystem than centralized AI providers can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Fatima Zahra

Jul 24, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is support for confidential AI applications — handled better than most — and end-to-end private inference via homomorphic encryption. Worth the time if this is your use case.

Joanna Kowalski

Jun 8, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on on-chain incentives for node operators, and end-to-end private inference via homomorphic encryption caught me off guard. FHE adds significant latency versus standard inference is why this isn't a perfect score, still, I'd recommend giving it a real trial.

问答

Are there any barriers to getting started as a node operator or user?

Participation relies on on‑chain token incentives, which can add complexity to onboarding for users unfamiliar with blockchain economics, and the smaller ecosystem may require additional effort to select and configure suitable models.

Asked by George Papadakis · Aug 30, 2025

What integration options does BasedAI provide for developers?

BasedAI offers a privacy‑preserving API that lets developers deploy or access encrypted model endpoints, enabling straightforward integration into existing applications while keeping prompts and outputs hidden from compute nodes.

Asked by Jana Krejčí · Aug 27, 2025

How does the homomorphic encryption affect inference speed compared to traditional APIs?

Because fully homomorphic encryption (FHE) must encrypt and decrypt data before and after computation, latency is significantly higher than standard, non‑encrypted inference, making real‑time responsiveness a limitation for some use cases.

Asked by Wolfgang Krause · Aug 21, 2025

What types of applications are best suited for BasedAI's privacy-preserving inference?

BasedAI excels in scenarios that require confidentiality, censorship resistance, or data sovereignty, such as enterprise document analysis, sensitive chat applications, and workflows in regulated industries where prompt and output privacy is critical.

Asked by Julia Steiner · Aug 15, 2025