Moore Threads MTT S4000 (2023)
Product Overview
MTT S4000 is Moore Threads' large model AI computing accelerator released in December 2023, based on self-developed Qiyuan GPU architecture (third-generation MUSA core architecture), equipped with 48GB GDDR6 memory (bandwidth 768 GB/s), FP32 compute 25 TFLOPS, TF32 compute 50 TFLOPS, INT8 compute 200 TOPS, customized optimization for training, fine-tuning and inference of 100-billion-parameter large language models, combined with advanced graphics rendering capabilities, video encoding/decoding capabilities and ultra-high-definition 8K HDR display output.
Positioning: Full-function meta-computing card (training+inference integration + graphics rendering), core component of KUAE AI computing center solution.
Core Specifications
| Item | Parameter |
|---|
| Architecture | Self-developed Qiyuan GPU (third-generation MUSA core architecture) |
| Process | Not disclosed (estimated 7nm/6nm) |
| FP32 | 25 TFLOPS |
| TF32 | 50 TFLOPS |
| INT8 | 200 TOPS |
| FP16/BF16 | 100 TFLOPS (official documentation figures) |
| Memory Capacity | 48 GB GDDR6 |
| Memory Bandwidth | 768 GB/s |
| TDP | 450 W |
| Interconnect | MTLink (x8 Serdes, up to 56Gbps PAM4) |
| Interface | PCIe 5.0 x16, 4× DisplayPort |
| Power | CPU 8-pin × 1 |
| Release | December 2023 |
| Mass Production | Since 2024 |
| Software Stack | MUSA software stack (CUDA compatible) |
MUSA Architecture Evolution
| Architecture | Core | Representative Product | Release |
|---|
| First-generation MUSA | Chunxiao | MTT S80/S70 (consumer) | 2022 |
| Second-generation MUSA | Quyuan (improved) | MTT S3000 | 2023 |
| Third-generation MUSA | Qiyuan GPU | MTT S4000 | 2023.12 |
Comparison with MTT S3000
| Metric | MTT S3000 | MTT S4000 | Improvement |
|---|
| Architecture | Second-generation MUSA | Third-generation MUSA (Qiyuan GPU) | New generation |
| Memory | Not disclosed | 48GB GDDR6 | Larger |
| Bandwidth | Not disclosed | 768 GB/s | Higher |
| FP32 | Not disclosed | 25 TFLOPS | Value disclosed |
| TDP | Not disclosed | 450W | Data center grade |
| Release | 2023 | 2023.12 | Same period improvement |
KUAE AI Computing Center Solution
MTT S4000 is the core component of Moore Threads' KUAE AI computing center solution:
- 100-billion-parameter large model training, fine-tuning, inference full-stack support
- MTLink multi-card high-speed interconnect (x8 Serdes, 56Gbps PAM4)
- MUSA software stack fully supports PyTorch/DeepSpeed and other mainstream frameworks
- CUDA compatibility layer, reducing model migration costs
Application Scenarios
- ✅ 100-billion-parameter large model training (customized optimization)
- ✅ Large model inference as a service (INT8 200 TOPS)
- ✅ Graphics rendering + AI hybrid workloads (full-function GPU)
- ✅ Video encoding/decoding (8K HDR display output)
- ✅ Domestic AI computing center (KUAE solution)
- ❌ Ultra-high FP16 training compute (25 TFLOPS FP32 lower than H100)
- ❌ Ultra-large-scale clusters (MTLink TBD vs NVLink)
Product Matrix
| Series | Positioning | Representative Product |
|---|
| MTT S Series | Server GPU (data center) | S3000, S4000, S5000 |
| MTT S Series (Consumer) | Desktop GPU | S80, S70 |
| KUAE | AI computing center solution | S4000 + MTLink + MUSA software stack |
References