2025-01-15_2025-ai-diffusion-export-controls-microsoft-regulatory-capture-oracle-tears
Canonical Target Counts
| Target | Occurrences |
|---|
| 04_knowledge_base/GPU | 44 |
| 04_knowledge_base/Hyperscaler | 29 |
| 02_companies/NVDA | 23 |
| 03_industries/Neocloud產業 | 19 |
| 04_knowledge_base/H100 | 16 |
| 02_companies/ORCL | 13 |
| 02_companies/ByteDance | 8 |
| 02_companies/MSFT | 7 |
| 02_companies/Amazon | 6 |
| 02_companies/GOOG | 6 |
| 04_knowledge_base/NVIDIA H20 | 6 |
| 04_knowledge_base/Pre-training | 5 |
| 02_companies/AMD | 5 |
| 04_knowledge_base/B20 | 5 |
| 02_companies/G42 | 3 |
| 04_knowledge_base/TFLOPS | 3 |
| 04_knowledge_base/GB300 | 3 |
| 04_knowledge_base/CPU | 3 |
| 04_knowledge_base/AI Accelerator | 2 |
| 02_companies/Nebius | 2 |
| 02_companies/Huawei | 2 |
| 04_knowledge_base/H200 | 2 |
| 02_companies/CRWV | 2 |
| 02_companies/META | 2 |
| 02_companies/INTC | 2 |
| 04_knowledge_base/NVIDIA B200 | 2 |
| 04_knowledge_base/ASIC | 2 |
| 04_knowledge_base/Bare Metal | 2 |
| 02_companies/DayOne | 1 |
| 04_knowledge_base/AI inference | 1 |
| 04_knowledge_base/MI300X | 1 |
| 04_knowledge_base/Foundation models | 1 |
| 04_knowledge_base/液冷散熱 | 1 |
| 04_knowledge_base/FP8 | 1 |
| 02_companies/Crusoe | 1 |
| 04_knowledge_base/Llama | 1 |
| 02_companies/Aligned Data Centers | 1 |
| 04_knowledge_base/Rubin Ultra | 1 |
| 04_knowledge_base/L40 | 1 |
| 04_knowledge_base/GB200 | 1 |
| 04_knowledge_base/High Voltage | 1 |
| 04_knowledge_base/Model FLOPS Utilization | 1 |
| 04_knowledge_base/GB200 NVL72 | 1 |
| 04_knowledge_base/A100 | 1 |
| 04_knowledge_base/Power Density | 1 |
| 04_knowledge_base/Substation | 1 |
| 04_knowledge_base/FLOP | 1 |
| 04_knowledge_base/AMD Instinct MI250X | 1 |