GPUMart Partner Program

Owns a personal blog site with daily PV>1000, focusing on GPU servers, AI, deep learning, large models and other related fields. Regularly publishes articles involving product reviews, technical teaching, product tutorials and other content. Readers have a high interest in GPU server leasing and AI training.

Creation rewards: Write an article about GPUMart product review or recommendation, with more than 1000 words, add GPUMart logo and at least 1 external link to gpu-mart.com. After review, bloggers can get $30 reward.

Long-term benefits: In addition to affiliate income, we can provide additional incentives for bloggers with outstanding performance, such as higher commission rate, quarterly bonus or free trial of new products.

Operate channels related to AI, deep learning, and GPU usage on platforms such as YouTube, Bilibili, and Tiktok, with more than 500 followers. The channel content covers product reviews, usage tutorials, technology sharing, etc., and the audience is mostly technology enthusiasts or practitioners who are interested in GPU and AI.

Creation rewards: Create a review or usage experience video about our GPU products, which must include GPUMart's brand logo and product recommendations. After review, creators can receive a reward of $30~50. If the recommended user purchases the service, you will also receive $30 per order.

Additional Support: For high-quality video content, we can provide additional promotion support, such as sharing on our social media platforms or displaying on the official website to increase the exposure of the video.

Focus on the training, development and application of AI large models, usually requiring high-performance GPU servers for short-term or long-term model training or tuning. May publish articles on technical blogs, industry columns or professional platforms, with a certain influence and technical depth.

Creation rewards: Write a review article about GPU servers for us and you can apply for a 7-day free trial. After the article is reviewed, you can get a free trial extension or a one-time reward.

In-depth cooperation: For creators who have been engaged in long-term AI training, we provide customized preferential plans or commission incentives for long-term cooperation, and you can try our new products and services first.

Have a strong interest in the field of GPU or AI. Often participate in discussions in technical forums, AI communities or other online platforms to share their insights and experiences. They have an exploratory spirit for technological innovation and product testing, and are willing to devote time and energy to their interests.

Review article creation: Write a comprehensive product review article for us. After review, we will obtain the copyright of the article and publish it on our blog. In return, you will receive a $30~50 credit balance, which can be used for consumption or purchase services on our platform.

Community contribution: If you publish content recommending our GPU products in multiple forums or communities and guide users to visit gpu-mart.com, corresponding credit balance rewards can be provided based on the number of posts and results.

Active on community platforms such as GitHub, Kaggle, DataCamp, etc., often share code, projects, tutorials, etc., have high requirements for the performance, flexibility and scalability of computing resources, and often share usage experience and technical solutions in the community.

Project display reward: If developers or data scientists recommend and demonstrate the use scenarios of our GPU servers in their own open source projects, tutorials or competitions, they can get a one-time reward of $50 or a commission reward of $30 per order.

Exclusive resource package: Provide these community members with exclusive development resource packages to help them better use our GPU servers for development and experiments, and encourage them to share their experiences in the community.

Institutions or individuals who focus on providing courses and training related to AI, deep learning, etc. The course content involves the practical operation of GPU and AI applications. There is a demand for high-performance GPU servers for teaching demonstrations or providing students with practical operation opportunities.

Course support: Cooperate with educational institutions or trainers to provide special educational discounts or free trials of GPU servers for demonstration and teaching in courses. If students purchase our products, you will receive a commission reward of $30 per order.

Joint brand promotion: Cooperate to develop exclusive courses or workshops, and both parties promote them together. Institutions can enjoy commissions or free extension of the use period and other benefits.

Active in technology forums, Reddit, Quora and other Q&A platforms, or highly engaged on social media Twitter and LinkedIn. Frequently answer questions related to GPU and AI, share your own technical views or recommend resources, and have a certain influence in the community.

Community Contribution Rewards: Post content recommending our GPU servers on technology forums or social media, and guide users to visit gpu-mart.com, and you can provide a certain credit balance reward or bonus based on the number of posts and interactive effects.

Social Sharing Incentives: Provide these users with exclusive discount codes. After users share through social media and bring actual conversions, they can get a one-time reward or order commission reward.

Long-term customers of GPUMart who have been using the service for over three months, have stable business operations, and are willing to share their experiences with using GPU servers or share their own success stories.

Story sharing: GPUMart customers can post their success stories on GPUMart on third-party platforms, or contact us to post articles or videos on our blog. Once adopted, a credit balance reward of $50-100 will be given.

More benefits: Provide discounts on the next rental, or extend the rental period for free (such as an extra week or even a month), so that customers can directly benefit from future services.