- pie title Qwen3-235B Memory Usage (Traditional vs Moxiegen)
- "Traditional FP32 (940 GB)" : 940
- "Moxiegen Compressed (47 GB)" : 47
+
Figure 3: Dramatic memory reduction achieved through pointer-based weight
mapping
- graph LR
- subgraph "Traditional A100 Cluster"
- A["12x A100 GPUs (~4,200W)"] --> B["Annual Energy: ~36,792 kWh"]
- B --> C["CO2 Emissions: ~16.5 tons/year"]
- end
- subgraph "Moxiegen Method"
- D["1x RTX 3060 (~170W)"] --> E["Annual Energy: ~1,489 kWh"]
- E --> F["CO2 Emissions: ~0.67 tons/year"]
- end
- style A fill:#7f1d1d,color:#f8fafc,stroke:#f87171
- style B fill:#7f1d1d,color:#f8fafc,stroke:#f87171
- style C fill:#7f1d1d,color:#f8fafc,stroke:#f87171
- style D fill:#064e3b,color:#f8fafc,stroke:#34d399
- style E fill:#064e3b,color:#f8fafc,stroke:#34d399
- style F fill:#064e3b,color:#f8fafc,stroke:#34d399
+
+
Figure 4: Environmental impact comparison showing 96% reduction in energy
consumption