Cortex Labs 每月有 3,594 次造訪,月增率 +15.6%,定價模式為需聯絡報價、免費。Quick Intel 每月有 7,800 次造訪,成長率 +35.9%,定價模式為免費。
| 面向/指標 | ![]() | ![]() |
|---|---|---|
| 官方網域 | cortexlabs.ai | quickintel.io |
| 定價模式 | 需聯絡報價、免費 | 免費 |
| 每月造訪次數 | 3594 (3,594) | 7800 (7,800) |
| 月流量變化量 | +486 (+15.6%) | +2061 (+35.9%) |
| 主要市場與市佔 | 🇺🇸 美國 (82.6%) | 🇮🇩 印尼 (95.4%) |
| 每月直接造訪 | 1425 | 5037 |
| 使用者評分 | 4.2 | 4.2 |
| 支援平台 | 網站 | 網站 |

在智慧合約內執行鏈上 AI 模型的開源區塊鏈
相容 EVM 的執行環境,並加入鏈上 AI 推論能力,使用 GPU 而非 CPU 來執行具一定複雜度的機器學習模型。
在異質運算硬體上產生完全一致的 AI 推論結果,這正是 AI 能在鏈上執行、無需鏈下預言機的前提。
量化與純整數推論技術,使模型執行在區塊鏈環境中既高效又可重現。
zkRollup 方案,把側鏈狀態轉換聚合為單筆主鏈交易,提升 TPS 並降低每筆交易費用。

在壞交易發生前攔截它的代幣安全 API
單次呼叫即可傳回代幣身分、所有權以及 qHash 匹配,讓你快速識別和比對代幣。
在交易發生時即時標記蜜罐、買賣稅率、轉帳限制及其他危險訊號。
偵測合約程式碼中的鑄幣、黑名單、手續費修改、最大錢包、暫停等可用於詐騙的函式。
追蹤流動性深度、持幣人分布與部署者歷史,判斷代幣是否健全或過度集中。
免費 / 開源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免費 / 開源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.

Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.
Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.