Last Updated -

June 16, 2026

Moore Threads

Company Profile and Market Insights

Explore the business model, global strategy, and market performance including insights into its position in China.

Moore Threads
Key facts
Founded 2020 • SSE STAR: 688795 • Q1 2026 results (Mar 31, 2026 quarter)
RMB 737.6m
Q1 2026 revenue
155.35%
Q1 2026 revenue growth YoY
RMB 29.36m
Q1 2026 net profit attributable
RMB 369m
Q1 2026 R&D expense
RMB 1.5055b
FY2025 revenue
99.87%
FY2025 revenue from China

About

Moore Threads Technology Co., Ltd. is a Beijing-based fabless GPU and AI-computing semiconductor company founded in 2020 by Zhang Jianzhong, a former Nvidia China executive. Fabless means the company designs chips, accelerator cards, systems, and software while relying on outside manufacturers for wafer production. Its core business is developing full-function graphics processing units, or GPUs, for AI training and inference, graphics rendering, video, scientific computing, intelligent-computing centers, and digital-office uses.

The company’s main products include MTT S5000 AI training and inference GPU cards, MTT S4000 and S3000 accelerators, KUAE intelligent-computing cluster solutions, MTT X300, S80, S70, and S50 graphics cards, and the MTT AIBOOK AI laptop and edge product. Moore Threads builds these products around its self-developed MUSA architecture and software ecosystem, which is intended to help customers move GPU workloads onto domestic Chinese hardware. Since its founding, the company has expanded from chip and card development into full-stack cluster systems, including a RMB 660 million KUAE intelligent-computing cluster contract announced in March 2026.

Moore Threads listed on Shanghai’s STAR Market in December 2025 under stock code 688795 after raising RMB 8.0 billion, becoming a prominent public-market vehicle for China’s domestic GPU supply chain. Its strategic purpose is tied to building a domestic AI-computing foundation across data centers, large-model platforms, edge devices, graphics, and industrial AI. In Q1 2026, revenue rose 155.35% year over year to RMB 737.6 million, and net profit attributable to shareholders reached RMB 29.36 million, its first quarterly profit since listing. The company still spent heavily on development, with Q1 2026 R&D expense of RMB 369 million and a recurring net loss of RMB 54.28 million, while FY2025 domestic China revenue accounted for 99.87% of total revenue.

Moore Threads

Business Model and Market Position

Moore Threads is a fabless GPU and AI-computing semiconductor company. It designs chips, accelerator cards, graphics cards, AI cluster systems and software around its self-developed MUSA architecture, while relying on external manufacturing partners rather than owning advanced wafer fabrication.

The company makes money mainly by selling GPU-based AI-computing hardware and full-stack computing solutions to Chinese cloud, AI, industrial and public-sector customers. In Q1 2026, revenue reached RMB 737.6 million, up 155.35% year over year. Net profit attributable to shareholders was RMB 29.36 million, its first quarterly profit since listing, although recurring net loss was still RMB 54.28 million.

  1. AI accelerators: Products such as the MTT S5000, S4000 and S3000 target AI training, inference, scientific computing and data-center workloads.
  2. Cluster solutions: KUAE intelligent-computing clusters package Moore Threads GPUs, systems and software into larger deployments for customers building domestic AI-compute capacity. A RMB 660 million KUAE cluster contract signed in March 2026 shows the increasing importance of system-level deals.
  3. Graphics and terminal products: Professional and consumer graphics cards such as the MTT X300, S80, S70 and S50, along with products such as the MTT AIBOOK, broaden the platform into graphics rendering, video, digital-office and edge use cases.
  4. Software ecosystem: MUSA is central to the business model. The company aims to reduce customer migration costs from CUDA-like workloads and increase stickiness through tools, drivers and workload adaptation.

Moore Threads’ market position is strongest in China, which is its core market rather than a secondary exposure. Domestic China revenue accounted for 99.87% of FY2025 revenue. Its growth case is tied to Chinese demand for domestic AI-computing infrastructure, especially as U.S. export controls limit access to top-end Nvidia and AMD accelerators.

The company is widely viewed as one of China’s leading domestic GPU challengers, alongside Biren, MetaX and Iluvatar. Its 2025 STAR Market IPO made it China’s first listed domestic GPU stock and raised RMB 8.0 billion for next-generation AI training and inference chips, graphics chips, AI SoC development and working capital.

Moore Threads differs from many Chinese AI-chip peers by pursuing full-function GPUs rather than a narrower AI-accelerator strategy. This gives it a broader product map across AI, graphics, video and general computing, with KUAE adding a cluster-level offering that moves the company beyond discrete cards.

Against Nvidia, Moore Threads remains far smaller and less mature. Nvidia’s CUDA ecosystem, advanced accelerator performance, manufacturing access and global customer base remain major benchmarks. Moore Threads’ competitive advantage is local supply-chain relevance in China, an integrated hardware-software roadmap and alignment with domestic technology self-sufficiency demand.

The company’s main challenges are scale, software adoption and profitability. FY2025 revenue rose 243.37% to RMB 1.5055 billion with an estimated gross margin of 65.57%, but the company remained loss-making for the year. R&D spending was about RMB 1.305 billion in FY2025 and RMB 369 million in Q1 2026, showing that Moore Threads is still in a heavy investment phase while it tries to validate its products at larger commercial scale.

Moore Threads

Performance in China

China is Moore Threads’ core market. Domestic revenue accounted for 99.87% of FY2025 sales, making the company primarily a China AI-computing and GPU infrastructure supplier rather than an export-led chip designer. In Q1 2026, revenue rose 155.35% year over year to RMB 737.6 million, and net profit attributable to shareholders reached RMB 29.36 million, its first quarterly profit since listing. The company is fabless, with its China footprint centered on Beijing-based chip design, MUSA software development, accelerator cards, graphics products, and KUAE intelligent-computing cluster solutions. Local strategy focuses on domestic substitution for Nvidia and AMD accelerators, large-model training and inference, public-sector and enterprise computing centers, and full-stack localization through MUSA. A March 2026 RMB 660 million KUAE cluster contract showed progress in system-level sales. Main China competitors include Biren, MetaX, Iluvatar, Huawei Ascend, and imported Nvidia alternatives where available.

Growth and Future Prospects

Moore Threads entered 2026 with a clearer commercial turning point. Q1 2026 revenue reached RMB 737.6 million, up 155.35% year over year, and net profit attributable to shareholders was RMB 29.36 million, its first quarterly profit since listing. The improvement followed a strong FY2025, when revenue rose 243.37% to RMB 1.5055 billion. The quality of the turn still needs testing. Q1 recurring net loss attributable to shareholders was RMB 54.28 million, and FY2025 remained loss-making because R&D spending was about RMB 1.305 billion, equal to roughly 86.7% of revenue.

Key growth drivers

  1. Domestic AI-computing demand: Moore Threads is tied directly to China’s demand for local AI training and inference infrastructure, especially as customers seek alternatives to restricted imported accelerators.
  2. Cluster-level commercialization: The MTT S5000 and KUAE intelligent-computing cluster products are central to the revenue ramp. A RMB 660 million KUAE cluster contract announced in March 2026 supports the shift from standalone cards toward larger system-level projects.
  3. Product expansion: The company is broadening from AI accelerator cards into full-function GPUs, graphics products, AI SoC and edge devices, AI laptops, and intelligent-computing center solutions. This gives Moore Threads more routes to customers, although AI infrastructure remains the main growth engine.
  4. Software and platform effects: MUSA is critical to adoption because customers need workload migration, tool support, and compatibility with existing AI software practices. Stronger developer support would improve switching economics, while weak software maturity would slow deployment.
  5. Funding base: The RMB 8.0 billion raised in the 2025 STAR Market IPO gives Moore Threads capital for next-generation AI training and inference chips, graphics chips, AI SoC R&D, and working capital.

Geographic expansion is limited at this stage. FY2025 domestic China revenue accounted for 99.87% of total revenue, so the outlook is mainly a China domestic infrastructure story rather than a global GPU export story.

Challenges ahead

  1. Supply-chain restrictions: U.S. Entity List status limits access to U.S.-origin EDA, IP, equipment, and advanced manufacturing resources.
  2. Manufacturing constraints: Access to advanced process nodes and high-bandwidth memory remains a major competitive issue against Nvidia and AMD.
  3. Profit durability: Q1 2026 showed headline profitability, but recurring losses and heavy R&D intensity mean sustained earnings are not yet proven.
  4. Project lumpiness: Large cluster contracts improve revenue scale, but they also create timing risk and potential accounts-receivable pressure.
  5. Ecosystem gap: CUDA remains the global benchmark, so Moore Threads must keep proving performance, compatibility, and developer adoption.

The future outlook is constructive but high risk. Moore Threads has policy support, a large domestic market, IPO-funded R&D capacity, and early evidence of cluster commercialization. Its next phase depends on whether it converts rapid revenue growth into repeatable gross profit, keeps advancing its chip roadmap under supply constraints, and builds enough software maturity for customers to commit larger production workloads.

This Company Profile was written by Dominik Diemer

Dominik Diemer blends an investor mindset with execution discipline.

He is a SAFe Program Consultant (SPC) and Lean Portfolio Management (LPM) practitioner at DMG MORI Digital, working as a SAFe Release Train Engineer and internal consultant in the Lean-Agile Center of Excellence (LACE).

His focus is prioritization, flow, and dependency management that turns strategy into outcomes. With experience across Bertelsmann and the Founders Foundation, he bridges corporate and startup thinking.

He also invests privately in private equity deals, sharpening his view on business models, value drivers, and go-to-market.

StockCounterParts reflects that lens.