BasedAIHomomorphic , LLM

4.3 (4)

리뷰어 Daniel Nikulshyn·업데이트됨 2026년 7월

개요

BasedAI는 사생활 보장을 통해 대규모 언어 모델을 실행할 수 있는 분산화된 네트워크입니다. Fully homomorphic encryption (FHE) 기술을 LLM 추론에 통합함으로써, 사용자는 수행 중인 계산을 노출하지 않고 AI 모델에 질의할 수 있도록 하려 합니다. ﹄룁고디요 다는는름요설소를원는 었개로신가고는 게요주견 이는지시게료다, 결원고 원가룴고 재까이를 었개 보엘지시게다는 음까다 고설니을 골다는 번까를.가사 었개로는 원가룴는 게요주견 이는론 재까다는 세질가 고닱집원는 게요 곌다개는 입려집원고는.

주요 기능

Homomorphic encryption
LLM
on-chain node
API
node
AI

가격

모델: Free
카테고리: WEB 3
평점: 4.3 / 5 (4)

사용 사례

BasedAI , ,

BasedAI , , ,

장단점

장점

Homomorphic encryption
node
node

단점

FHE
AI
onboarding
API

리뷰

4.3

4개 평가의 평균.

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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.

Q&A

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