Companies/Moore Threads
Beijing, China
Moore Threads
Chinese GPU design company founded in October 2020 by former NVIDIA China general manager Zhang Jianzhong. Supplies the MTT-series GPUs and the proprietary MTLink GPU-to-GPU interconnect fabric used in JD Cloud's domestic AI training clusters.
Systems this company appears in
- Systems
- 3
- Aggregate Rmax
- 0.0 GFlop/s
- Aggregate power
- 0 kW
- First appearance
- 2023-12-19
- Most recent
- 2026-09-09
- Concentration
- -
Aggregate Rmax is the sum of the systems this company supplies any part of. It is not revenue and not attributable share: an integrator and a memory vendor in the same machine both count its full FLOPS here. Attribution weighted by role is Phase 4.
Role breakdown
| Role | Systems | Rmax in those systems |
|---|---|---|
| Integrator | 1 | 0.0 GFlop/s |
| Accelerator | 3 | 0.0 GFlop/s |
| Interconnect | 1 | 0.0 GFlop/s |
Appearances
| System | Supplied as | Shipped under | Rmax | Rank |
|---|---|---|---|---|
| Moore Threads KUAE 1,000-GPU Cluster China · 2023-12-19 | Accelerator, Integrator | Moore Threads | - | unranked |
| JD Cloud 100,000-GPU Cluster China · | Accelerator, Interconnect | Moore Threads | - | unranked |
| China Merchants Bank AI Compute Platform China · | Accelerator | Moore Threads | - | unranked |
AI datacenters operated
| System | Status | Accelerators | Stated power (MW) |
|---|---|---|---|
| Moore Threads KUAE 1,000-GPU Cluster | operational | 1,000 | - |
Figures come from the AI datacenter metrics; blank means none recorded.
Further reading
Inside a node
Why accelerators exist, what the memory hierarchy costs, and how the CPU and accelerator merged onto one package.
The interconnect
Topologies, why latency and tail behaviour matter more than bandwidth, and how the fabric market consolidated.
Operating a supercomputer
Acceptance testing, why "installed" and "in production" are six months apart, and the machine lifecycle.