Suanleme

Idle GPU compute monetization platform--make every drop of compute count. Share unused GPU resources, support research projects, earn steady income, and help advance AI.

Project Roles & Tools

0 to 100 Product Design User Growth Ops Strategy Data Analysis

Product Design

Designed a user-friendly client so contributors can easily manage compute sharing and view earnings, lowering the barrier to entry

Product Design

Designed a user-friendly client so contributors can easily manage compute sharing and view earnings, lowering the barrier to entry

User Growth

Built a contributor ecosystem through community ops and incentive programs to scale the platform

User Growth

Built a contributor ecosystem through community ops and incentive programs to scale the platform

Operations Strategy

Defined revenue-sharing models and service systems to balance contributor and research needs

Operations Strategy

Defined revenue-sharing models and service systems to balance contributor and research needs

User Pain Points & Real Complaints

Idle GPUs are wasted while research lacks compute--uneven distribution has become a bottleneck for AI

High-end GPUs sit idle most of the time, yet electricity and depreciation still cost money

Research institutes need huge compute, but procurement is expensive and slows projects

Individuals can't effectively use idle compute and lack monetization channels

Compute is concentrated in a few institutions; small research teams can't get enough

Traditional compute rentals are pricey--indie devs and small teams can't afford them

Little incentive for contributing compute, leading to low participation

用户真实吐槽

My GPU just collects dust and racks up electricity--need a way to break even

Lab compute is insufficient, can't buy servers, project is way behind

Bought a 4090 for gaming; it's idle most of the time--so wasteful

Want to join AI research but compute costs are too high

Company has several idle PCs but no idea how to use them

Compute rental is too expensive; personal projects can't afford it

GPU upgrades move too fast; old cards won't sell for a good price

I want to support research but don't know how

Compute distribution is so uneven--big orgs hoard most resources

Electricity keeps getting pricier; idle GPU costs are too high

Want to join distributed computing, but current platforms pay too little

Research project urgently needs compute but budget is limited--progress stuck

真实用户反馈 · 数据来源：微博、知乎、GitHub Issues

Who It's For

Bridge compute supply and demand so idle resources create value and research gets the support it needs

Individual Users

People with idle GPUs who want extra income

Monetize Idle Zero Barrier

Pure software client--no extra hardware investment

Auto start/pause without affecting daily use

Real-time earnings with transparent billing

Support multiple devices to maximize income

Gamers

High-end GPU owners earning when not gaming

Game Friendly Smart Scheduling

Automatically pauses when gaming to avoid impact

Supports RTX 3070 and above with abundant tasks

Runs in the background with no manual management

Stable earnings that cover electricity costs

Research Institutions

Academic teams needing large amounts of compute

Research Support Cost Control

Access distributed compute to lower research costs

Abundant resources for large-scale computation

Supports diverse scientific workloads

Helps convert research outcomes and foster collaboration

AI Developers

Individuals needing compute for model training and development

Dev Support Cost Optimization

Obtain compute support to lower dev costs

Supports mainstream AI frameworks and training workloads

Elastic allocation on demand

Promotes broader adoption of AI tech

Core Features

Turn idle compute into value and give research the support it needs--building a decentralized compute ecosystem

Smart Scheduling

Automatically detects GPU state, intelligently assigns tasks, pauses during gaming, and maximizes utilization

Real-Time Earnings

Transparent payout model with real-time contribution and income view; supports multiple withdrawal methods

Research Support

Provides compute for research projects, advancing academic work and AI development

Zero Barrier

Pure software client, one-click install, no technical background needed; manage multiple devices easily

Tens of thousands already joined the compute network

Build a decentralized compute ecosystem where every drop of compute has value

Tens of thousands+

Compute contributors

Supporting Tsinghua alumni

Thousands+

Research projects supported

Competitive Analysis

Compare mainstream distributed computing platforms and highlight Suanleme's differentiators

Folding@home

Focused on protein-folding research Purely charitable with no payouts Supports many device types Global distributed network

核心价值

Provides compute for medical research--especially protein folding and disease studies. Participation is purely for public good with no financial return.

BOINC

Multi-project platform Open-source distributed computing Research-focused projects Cross-platform support

核心价值

Offers a unified distributed computing platform for multiple research projects; users can pick which studies to support, but it likewise provides no economic incentive.