南亚 最快云区域排行
每日按到 南亚 的中位延迟最低排序的云区域，基于最新一天、全球 900+ 城市的测量数据。对比 AWS、Azure、GCP、Oracle、腾讯、华为、阿里云，为 南亚 选择最快的区域。
| 排名 | 提供商 | 区域名称 | 平均延迟 | 中位延迟 | 丢包率 | 城市数 | 样本数 |
|---|---|---|---|---|---|---|---|
| 1 | Oracle | Mumbai (India) | 27.0ms | 27.0ms | 6.7% | 4 | 4 |
| 2 | Oracle | Hyderabad (India) | 37.5ms | 36.5ms | 0.0% | 3 | 3 |
| 3 | Azure | Pune | 52.2ms | 52.2ms | 0.0% | 5 | 5 |
| 4 | AWS | Hyderabad (IN) | 54.0ms | 53.4ms | 4.4% | 5 | 5 |
| 5 | AWS | Mumbai (IN) | 58.6ms | 58.8ms | 0.0% | 5 | 5 |
| 6 | AWS | Singapore (SG) | 68.7ms | 67.7ms | 0.0% | 5 | 5 |
| 7 | Alibaba | Kuala Lumpur (MY) | 68.0ms | 68.0ms | 2.2% | 4 | 4 |
| 8 | Alibaba | Singapore (SG) | 76.7ms | 76.5ms | 1.7% | 5 | 5 |
| 9 | GCP | Singapore(SG) | 78.8ms | 78.8ms | 0.0% | 5 | 5 |
| 10 | GCP | Delhi(IN) | 79.4ms | 79.0ms | 0.0% | 5 | 5 |
| 11 | Azure | Singapore | 79.4ms | 79.5ms | 0.0% | 4 | 4 |
| 12 | AWS | Malaysia (MY) | 82.5ms | 82.4ms | 0.0% | 4 | 4 |
| 13 | Azure | Dubai | 87.7ms | 87.3ms | 0.0% | 4 | 4 |
| 14 | GCP | Mumbai(IN) | 89.1ms | 89.1ms | 0.0% | 5 | 5 |
| 15 | Azure | Kuala Lumpur | 90.3ms | 90.1ms | 0.0% | 4 | 4 |
| 16 | Alibaba | Bangkok (TH) | 92.0ms | 91.8ms | 3.3% | 3 | 3 |
| 17 | Huawei | Singapore (SG) | 93.5ms | 93.4ms | 0.0% | 3 | 3 |
| 18 | Azure | Doha | 94.2ms | 93.7ms | 0.0% | 4 | 4 |
| 19 | Tencent | Singapore (SG) | 94.6ms | 94.5ms | 0.0% | 3 | 3 |
| 20 | AWS | Jakarta (ID) | 95.6ms | 95.5ms | 0.0% | 3 | 3 |
更新于: 2026-09-04arrow_back返回全球排行榜