Product Overview
Moore Threads MTT S2000 is a domestic Chinese GPU launched in 2022, based on the MUSA architecture. It features 4096 compute cores and 16GB GDDR6 memory, with CUDA compatibility through a translation layer. Positioned as an entry-level AI inference and training GPU for the Chinese market, it supports mainstream AI frameworks via the MUSA software stack.
Core Specifications
| Item | Parameter |
|---|
| Architecture | MUSA (Moore Threads Unified System Architecture) |
| Process | 7nm |
| Compute Cores | 4096 |
| Memory | 16 GB GDDR6 |
| Memory Bandwidth | 448 GB/s |
| FP32 | 12 TFLOPS |
| FP16 | 24 TFLOPS (with Tensor) |
| INT8 | 48 TOPS (with Tensor) |
| TDP | 75 W |
| Interface | PCIe 4.0 x16 |
| Release | 2022 Q4 |
| Price | ~\$800-1,200 |
MUSA Software Stack
| Component | Description |
|---|
| MUSA Driver | GPU driver for Linux/Windows |
| CUDA Translator | Layer to run CUDA code on MUSA |
| MUSACNN | AI framework integration (PyTorch, TensorFlow) |
| MUSA SDK | Development tools and libraries |
Comparison with Peer Products
| GPU | Architecture | Memory | FP32 | TDP | CUDA Compatible |
|---|
| MTT S2000 | MUSA | 16GB GDDR6 | 12 TFLOPS | 75W | ✅ (via translation) |
| NVIDIA A10 | Ampere | 24GB GDDR6 | 31 TFLOPS | 150W | ✅ (native) |
| AMD Radeon Pro W6800 | RDNA 2 | 32GB GDDR6 | 16 TFLOPS | 250W | ❌ |
Use Cases
- ✅ AI inference (entry-level)
- ✅ AI training (small models)
- ✅ Domestic AI projects (China market)
- ✅ CUDA code migration (via translation layer)
- ❌ High-end AI training
- ❌ Graphics rendering (professional)
Manufacturer Info