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As recorded at collection: 5,000 computing points when signing up for Intern InkStone

GPU server

As recorded at collection: Intern InkStone, a computing resource platform, provides 5,000 computing points and free tokens for each account. To use it, you need to sign up, activate your email, log in through a browser, claim the free quota, and create an API key (an authentication string required to use the service).

What you get
5,000 computing points per account · 10 Mo points and an API key upon sign-up
Price
To be confirmed
Valid until
To be confirmed
Requirements
Sign-up, email activation, browser login, free quota claim, and API key creation required · For mass account creation, a Cloudflare Worker domain email and a real browser are required · The registration tool limits the number of concurrent tasks

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Unverified, not yet checked against the official source
Details

Intern InkStone is a domestic computing resource platform that provides high-performance servers and an API for using AI models. It provides 5,000 computing points per account, enough for about 83 hours of operation at the highest settings. The free token listing states 100 million tokens, but the body says that signing up grants 10 Mo points and that 1 Mo point is equivalent to about 20M tokens.

The GitHub-linked Intern-Register-Tool can automatically create OpenXLab accounts and extract API keys. After registering an account, activate it by email and log in through a browser to obtain a login token (JWT). Then claim the free quota and create an API key to check whether it works. The OpenAI protocol endpoint is https://discovery-api.intern-ai.org.cn/v1, and the Anthropic protocol endpoint is https://discovery-api.intern-ai.org.cn.

To register accounts in bulk, you need to use a Cloudflare Worker domain email together with a real browser. In tests, sequential processing took about 35 seconds per account, while 2 concurrent tasks took 10.2 seconds. With 12 concurrent tasks, the login stage alone took 2.4 seconds. The registration tool was put together in a hurry and has a limit on the number of concurrent tasks.

Sources and verification history
Collection channel
NodeLoc
Collected at
September 19, 2026, 18:20 KST
First published
Updated
Source
nodeloc.com/t/topic/110021
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