Backed by MiraclePlus's high-performance compute, a new generation of high-potential, deep-tech projects is on the rise. We offer free compute for AI teams from universities, research institutions, and startups-with a transparent process, easy application, and the support you need to move fast.
4132 Applications Received
Whether you're a pioneer in frontier tech or an entrepreneur bringing innovations to life, we welcome you to be part of our community.
Whether you're a pioneer in frontier tech or an entrepreneur bringing innovations to life, we welcome you to be part of our community.
There are no KPIs or equity requirements. The admitted teams only need to provide a brief progress update every 1–2 months and adhere to usage protocols (no subleasing or resale). For projects moving toward commercialization, MiraclePlus would appreciate the opportunity to explore potential investment and acceleration as a priority partner.
MiraclePlus Compute is open to universities, research institutes, enterprises, startups, and independent researchers globally. Your physical location or business registration does not affect eligibility. While our infrastructure is based in Haidian, Beijing, we fully support remote access for international teams, and have supported 60+ teams worldwide.
- Timeline: Applications are accepted year-round on a rolling basis. Early submission is recommended.
- Criteria: We prioritize research capability, technical fit, and project potential—specifically high-quality, practical applications.
- Review: The process is managed by the MiraclePlus team, similar to our investment screening.
- Results: Applications are reviewed on a rolling basis; the screening period usually takes around 2 months.
- Re-application: If not selected, you are welcome to re-apply in future rounds.
- Hardware: NVIDIA high-performance GPUs (we may expand the types of provided GPUs overtime).
- Quota: Up to 1 million RMB in compute Quota (equivalent to 8x H800 cards for 15 months).
- Allocation: Credits will be allocated based on a comprehensive assessment of each project. Once accepted, credits are issued on a dedicated platform for immediate use.
The computing power is entirely free and includes access to the broader MiraclePlus ecosystem, such as technical workshops and Office Hours with partners and alumni.
Compute usage can be scheduled flexibly within the granted period. Extensions or credit increases may be requested. Should the project team pivot during the period, the team shall notify the MiraclePlus team for approval.
MiraclePlus welcomes acknowledgement in academic publications but does not mandate it. We do not require equity. If a project pursues commercialization, MiraclePlus would value the opportunity to be your first choice for acceleration and investment.
No. Even if a project does not meet expectations, this will not affect future compute or Accelerator applications. MiraclePlus does not terminate support mid-way due to slow progress.
No. Our goal is to support the exploration of scientific frontier. Purely academic or scientific projects with no plans for commercialization are fully eligible for support and are encouraged to apply.
Research Project
MiraclePLus supports frontier AI project -- from scaling laws to RL and AI agents. If you're pushing limits, we're your partner.
Open-Source Project
AI research and entrepreneurship come with significant challenges — but open-sourcing can unlock wider support. If you're looking to open-source a key AI initiative, MiraclePlus Compute is here to support your journey.
Startup Project
Startups are driving real-world impact through innovative products and models. We supports teams with strong tech and market potential. If you're building the next breakthrough, we welcome your application.
Jun Wang Lab, CAS Institute of MicrobiologyResearch Project
Project Overview
A team from the Institute of Microbiology, Chinese Academy of Sciences is using natural language methods to build large models for protein functions and interactions. Their goal is to develop next-generation peptide-based drugs at scale for key therapeutic targets, addressing major chronic diseases such as metabolic disorders and cancer.
Team Introduction
Jun Wang from the Institute of Microbiology, Chinese Academy of Sciences, earned his Ph.D. from the Max Planck Institute for Evolutionary Biology in Germany. His earlier work on using AI to discover antimicrobial drugs was published in Nature Biotechnology and selected as one of The Guardian’s “Top 10 Scientific Breakthroughs of 2022.”
Mooncake – Scalable, Fast Inference for Large Language ModelsOpen-Source Project
Project Overview
Mooncake is an open-source, next-gen distributed inference architecture for LLMs. With a high-performance data transfer engine and KV cache pooling, it accelerates inference and improves GPU utilization. Mooncake integrates with projects like SGLang, vLLM, Dynamo, and LMCache, and is deployed in production by Moonshot AI (Kimi), Alibaba, and Ant Group.
Team Introduction
·Feng Ren – Project Initiator / Ph.D. in Computer Science, Tsinghua University. Focused on high-performance memory storage systems.
·Mingxing Zhang – Project Advisor / Assistant Professor, Department of Computer Science, Tsinghua University. Research focuses on distributed systems and storage optimization.
MidReal – Deep Reasoning AI FictionStartup Project
Project Overview
System2 Research developed the MidReal.ai platform based on its proprietary long-range reasoning architecture, System2 Agent. Focused on post-training and multimodal intent alignment, MidReal.ai has attracted over 3 million users in a year and leads global benchmarks in complex plot generation. Its high interpretability and industrial-grade reasoning efficiency lay the groundwork for film adaptations and interactive storytelling.
Team Introduction
·Our core team hails from top institutions including MIT, Princeton, Duke, Tsinghua, and OpenAI. Collectively, we've published over 180 papers at leading AI conferences, with more than 16,000 academic citations.
·The team has built two products with 10M+ users and led three multimillion-dollar ventures. Backed by a global network of 20+ top labs and companies, we’re scaling the System2 Agent ecosystem.
Research Project
MiraclePLus supports frontier AI project -- from scaling laws to RL and AI agents. If you're pushing limits, we're your partner.
Click to view the caseProject Overview
A team from the Institute of Microbiology, Chinese Academy of Sciences is using natural language methods to build large models for protein functions and interactions. Their goal is to develop next-generation peptide-based drugs at scale for key therapeutic targets, addressing major chronic diseases such as metabolic disorders and cancer.
Team Introduction
Jun Wang from the Institute of Microbiology, Chinese Academy of Sciences, earned his Ph.D. from the Max Planck Institute for Evolutionary Biology in Germany. His earlier work on using AI to discover antimicrobial drugs was published in Nature Biotechnology and selected as one of The Guardian’s “Top 10 Scientific Breakthroughs of 2022.”
Open-Source Project
AI research and entrepreneurship come with significant challenges — but open-sourcing can unlock wider support. If you're looking to open-source a key AI initiative, MiraclePlus Compute is here to support your journey.
Click to view the caseProject Overview
Mooncake is an open-source, next-gen distributed inference architecture for LLMs. With a high-performance data transfer engine and KV cache pooling, it accelerates inference and improves GPU utilization. Mooncake integrates with projects like SGLang, vLLM, Dynamo, and LMCache, and is deployed in production by Moonshot AI (Kimi), Alibaba, and Ant Group.
Team Introduction
·Feng Ren – Project Initiator / Ph.D. in Computer Science, Tsinghua University. Focused on high-performance memory storage systems.
·Mingxing Zhang – Project Advisor / Assistant Professor, Department of Computer Science, Tsinghua University. Research focuses on distributed systems and storage optimization.
Startup Project
Startups are driving real-world impact through innovative products and models. We supports teams with strong tech and market potential. If you're building the next breakthrough, we welcome your application.
Click to view the caseProject Overview
System2 Research developed the MidReal.ai platform based on its proprietary long-range reasoning architecture, System2 Agent. Focused on post-training and multimodal intent alignment, MidReal.ai has attracted over 3 million users in a year and leads global benchmarks in complex plot generation. Its high interpretability and industrial-grade reasoning efficiency lay the groundwork for film adaptations and interactive storytelling.
Team Introduction
·Our core team hails from top institutions including MIT, Princeton, Duke, Tsinghua, and OpenAI. Collectively, we've published over 180 papers at leading AI conferences, with more than 16,000 academic citations.
·The team has built two products with 10M+ users and led three multimillion-dollar ventures. Backed by a global network of 20+ top labs and companies, we’re scaling the System2 Agent ecosystem.