moore threads

published: August 21, 2025updated: September 8, 2026
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moore threads intelligence technology is a chinese gpu design company specializing in graphics and ai computing processors.

Update (September 2026). Moore Threads began trading on Shanghai’s STAR Market on December 5, 2025 under code 688795.13 In 2026 it added the MTT S5000 data-center GPU and consumer AI systems to its product list. The company also disclosed that it was considering an H-share issue and Hong Kong listing.14 The pre-IPO figures below are retained as historical context, not current company facts.

company overview

founded in october 2020, the company achieved unicorn status (>$1b valuation) within 100 days.1

company facts

  • founder/ceo: zhang jianzhong (former nvidia global vp)
  • headquarters: beijing, china
  • listing: shanghai star market, code 688795
  • products: consumer, workstation, and data-center gpus
  • 44% owned by founder

products

consumer gpus

modelmemoryperformancepricetarget
mtt s9016gb gddr6outperforms rtx 4060tbdgaming/compute
mtt s8016gb gddr614.4 tflops fp32~$170gaming/ai inference
mtt s708gb gddr6similar to s80entry-levelgeneral compute

the mtt s80 has 16 gb of memory and supports the company’s MUSA software stack. Price and value depend on local availability, driver support, and the workload; the source formerly cited here did not provide a reproducible value comparison.

datacenter and professional gpus

modelmemorybandwidthcomputetarget
mtt s400048gb gddr6768 gb/s200 tflops fp16datacenter ai
mtt s3000e24gb gddr6energy efficientserver/cloud focusedcloud computing
mtt x30016gb gddr6same hardware as s80workstation optimizedprofessional/domestic market
mtt s300024gb gddr6384 gb/s100 tflops fp16cloud/virtualization

the s3000e was revealed through gpu-z 2.68.0 in august 2025, targeting energy efficiency for server deployments.10

notably, the latest quyuan architecture lacks fp8 support despite being standard in 2024 ai accelerators.2

software ecosystem

musa platform

cuda-compatible computing platform with:3

  • opengl, vulkan, directx support
  • opencl and sycl compatibility
  • version 4.0.1 (2024)

musify tool

zero-cost cuda migration tool enabling code translation from nvidia’s ecosystem.2

gpu interconnection technology with 240 gb/s bandwidth, supporting up to 10,000 gpu clusters.4

financing

before its public offering, Moore Threads raised private capital from corporate and state-backed investors. Historical reports estimated $800 million across six rounds.5 That number is not a current measure of company value or available cash.

major investors:

  • bytedance (tiktok parent)
  • tencent holdings
  • hongshan (formerly sequoia china)
  • beijing zhongguancun science city (state fund)
  • china mobile capital

partnerships

deepseek deployment

february 2025: announced successful deployment of deepseek v3 and r1 models on moore threads gpus.6

enterprise customers

  • china mobile (telecom infrastructure)
  • china unicom (cloud services)
  • lenovo (hardware integration)
  • china energy engineering corp (computing clusters)

regulatory status

the United States added Moore Threads to the Entity List on October 17, 2023.7 The listing imposes license requirements on covered exports, reexports, and transfers. It does not, by itself, prove the absolute supplier bans or the fixed 7 nm manufacturing limit previously stated here.

public listing

the Shanghai Stock Exchange approved trading in Moore Threads shares under code 688795 beginning December 5, 2025.13 In August 2026, the company disclosed that it was considering an H-share issue and a listing in Hong Kong. That disclosure described a plan under study, not a completed secondary listing.14

technical performance

competitive positioning

moore threads gpus target different market segments than nvidia flagship products:4

  • datacenter: mtt s4000 (200 tops int8) vs nvidia a100 (624 tops int8)
  • consumer: mtt s80 targets graphics and local compute
  • inference: the company reports support for DeepSeek models
  • evidence limit: this page has no reproducible cross-vendor benchmark for the s80 or s90

manufacturing constraints

trade controls restrict access to some foundries, equipment, and software. Public sources used here do not establish Moore Threads’ current foundry, process node, or production allocation. The company’s stated product strategy emphasizes:

  • cost-effectiveness over peak performance
  • inference optimization rather than training workloads
  • software ecosystem development (musa platform)
  • multi-gpu clustering capabilities (mtlink scaling to 10,000 processors)12

driver improvements

early products faced optimization challenges, but 2024-2025 reviews note significant driver improvements and better compatibility with ai frameworks.

references

[1] south china morning post. (2024, november 13). chip war: china’s gpu start-up helmed by former nvidia executive kicks off pre-ipo process.

[2] videocardz. (2023, december). moore threads introduces mtt s4000 48gb ai gpu.

[3] tom’s hardware. (2024). china’s moore threads polishes homegrown cuda alternative.

[4] tom’s hardware. (2024, july). chinese gpu maker moore threads’ mtlink fabric tech challenges nvidia’s nvlink.

[5] yahoo finance. (2023, february). china’s moore threads valued at $3.4 billion.

[6] tom’s hardware. (2025, february). moore threads gpus show ‘excellent’ inference performance with deepseek models.

[7] tom’s hardware. (2023, october). us sanctions on biren and moore threads.

[10] chinese gpu maker reveals new workstation gpu: moore threads mtt x300 | tom’s hardware.

[12] chinese gpu maker moore threads’ mtlink fabric tech challenges nvidia’s nvlink | reddit hardware.

[13] shanghai stock exchange. (2025, december 4). notice of moore threads listing and trading.

[14] moore threads. investor relations and 2026 company disclosures.

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