南美 最快云区域排行
每日按到 南美 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 南美 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 | AWS | Canada Central (CA) | 66.4ms | 66.4ms | 0.0% | 2 | 2 |
| 2 | GCP | Columbus(US) | 69.7ms | 69.7ms | 0.0% | 2 | 2 |
| 3 | AWS | Ohio (US) | 71.2ms | 71.2ms | 0.0% | 2 | 2 |
| 4 | Oracle | Santiago (Chile) | 73.3ms | 73.2ms | 0.0% | 6 | 6 |
| 5 | GCP | Toronto(CA) | 73.7ms | 73.7ms | 0.0% | 2 | 2 |
| 6 | GCP | Santiago(CL) | 78.2ms | 77.7ms | 0.0% | 6 | 6 |
| 7 | Oracle | Montreal(CA) | 78.8ms | 78.8ms | 0.0% | 2 | 2 |
| 8 | Huawei | Santiago (CL) | 78.9ms | 78.8ms | 0.0% | 6 | 6 |
| 9 | Tencent | Sao Paulo (BR) | 84.2ms | 84.2ms | 0.0% | 6 | 6 |
| 10 | GCP | Sao Paulo (BR) | 85.2ms | 84.8ms | 0.0% | 6 | 6 |
| 11 | Oracle | Toronto (Canada) | 85.1ms | 85.1ms | 0.0% | 2 | 2 |
| 12 | AWS | Mexico Central (MX) | 85.6ms | 85.6ms | 0.0% | 2 | 2 |
| 13 | GCP | Council Bluffs(US) | 85.8ms | 85.8ms | 0.0% | 2 | 2 |
| 14 | AWS | Sao Paulo (BR) | 86.3ms | 85.8ms | 0.0% | 6 | 6 |
| 15 | Huawei | Sao Paulo (BR) | 86.8ms | 86.4ms | 0.0% | 6 | 6 |
| 16 | Azure | Sao Paulo State | 87.4ms | 86.8ms | 0.0% | 6 | 6 |
| 17 | Oracle | Sao Paulo (BR) | 87.5ms | 87.4ms | 0.0% | 6 | 6 |
| 18 | Azure | Iowa | 88.1ms | 88.0ms | 0.0% | 2 | 2 |
| 19 | Azure | Santiago | 90.0ms | 89.8ms | 0.0% | 6 | 6 |
| 20 | GCP | Queretaro(MX) | 90.4ms | 90.3ms | 0.0% | 2 | 2 |
更新于: 2026-10-14arrow_back返回全球排行榜