UK South (London) (uksouth) 地域最便宜的 Microsoft Azure 实例
Microsoft Azure 在 UK South (London) (uksouth) 地域的算力价格、硬件规格及性价比排行。
摘要与快速解答
UK South (London) (uksouth) 最便宜的 Microsoft Azure 实例是 Standard_B1ls（1 vCPU、0.500 GiB 内存），按需 $0.0059/小时（约 $4.31/月）起。该区域的竞价实例还可额外节省最多 90%。
地域
uksouth
位置
🇬🇧UK South (London) (United Kingdom)
大洲
europeUK South (London) 地域最便宜的 Microsoft Azure 实例
Microsoft Azure 数据中心地域 uksouth 的已验证价格、规格及折扣模式。
| 排名 | 云厂商 | 实例 | 位置 | vCPU | 内存 | 架构 | 按需计费 | 抢占式 / 竞价 | 操作 |
|---|---|---|---|---|---|---|---|---|---|
| #1 |  Microsoft Azure | Standard_B1ls | United Kingdomuksouth | 1 | 0.5 GiB | x86_64 | —/月 | — | 详情 |
| #2 | Microsoft Azure | Standard_B1s | United Kingdomuksouth | 1 | 1 GiB | x86_64 | —/月 | — | 详情 |
| #3 | Microsoft Azure | Standard_B2pts_v2 | United Kingdomuksouth | 2 | 1 GiB | arm64 | —/月 | —/月 | 详情 |
| #4 | Microsoft Azure | Standard_B2ats_v2 | United Kingdomuksouth | 2 | 1 GiB | x86_64 | —/月 | —/月 | 详情 |
| #5 | Microsoft Azure | Standard_B2ts_v2 | United Kingdomuksouth | 2 | 1 GiB | x86_64 | —/月 | —/月 | 详情 |
| #6 | Microsoft Azure | Standard_B1ms | United Kingdomuksouth | 1 | 2 GiB | x86_64 | —/月 | — | 详情 |
| #7 | Microsoft Azure | Standard_A1_v2 | United Kingdomuksouth | 1 | 2 GiB | x86_64 | —/月 | —/月 | 详情 |
| #8 | Microsoft Azure | Standard_B2pls_v2 | United Kingdomuksouth | 2 | 4 GiB | arm64 | —/月 | —/月 | 详情 |
| #9 | Microsoft Azure | Standard_B2s | United Kingdomuksouth | 2 | 4 GiB | x86_64 | —/月 | — | 详情 |
| #10 | Microsoft Azure | Standard_B2als_v2 | United Kingdomuksouth | 2 | 4 GiB | x86_64 | —/月 | —/月 | 详情 |
| #11 | Microsoft Azure | Standard_B2ls_v2 | United Kingdomuksouth | 2 | 4 GiB | x86_64 | —/月 | —/月 | 详情 |
| #12 | Microsoft Azure | Standard_F1 | United Kingdomuksouth | 1 | 2 GiB | x86_64 | —/月 | —/月 | 详情 |
| #13 | Microsoft Azure | Standard_F1als_v7 | United Kingdomuksouth | 1 | 2 GiB | x86_64 | —/月 | —/月 | 详情 |
| #14 | Microsoft Azure | Standard_F1as_v7 | United Kingdomuksouth | 1 | 4 GiB | x86_64 | —/月 | —/月 | 详情 |
| #15 | Microsoft Azure | Standard_D2pls_v5 | United Kingdomuksouth | 2 | 4 GiB | arm64 | —/月 | —/月 | 详情 |
浏览相关云定价指南
对比不同地域、云厂商、硬件规格及工作负载架构。
Microsoft Azure 其他数据中心地域
United States · north-america
United States · north-america
United States · north-america
Netherlands · europe
Ireland · europe
Germany · europe
Japan · asia
Singapore · asia
Microsoft Azure 主流横向对比
AWS and Azure are closely matched in compute pricing and global coverage. AWS offers a slight edge in Linux Graviton price-performance and mature developer tooling, while Azure provides massive cost savings for Windows Server and SQL Server workloads via Azure Hybrid Benefit.
Google Cloud offers superior pricing flexibility with Custom Machine Types and sustained use discounts, whereas Azure is the clear winner for Microsoft ecosystem integration, enterprise active directory, and hybrid cloud environments.
按配置层级对比
Starts around $3.50 to $6.00/month on standard clouds, or under €4.00/month on Hetzner and Scaleway.
Prices range from ~€4.50/mo on Hetzner to ~$24.00/mo on DigitalOcean and ~$28.00-$35.00/mo on AWS EC2 on-demand.
Hetzner starts around €10.00-€12.00/month, compared to $48.00/month on DigitalOcean and $60.00-$70.00/month on AWS/GCP on-demand.
Starts around €18.00-€24.00/month on Hetzner and $90.00-$120.00/month on hyperscalers.
常见问题解答
关于云计算定价和基础设施配置的常见解答。
What is the cheapest Microsoft Azure instance in uksouth? ▼
UK South (London) (uksouth) 最便宜的 Microsoft Azure 实例是 Standard_B1ls（1 vCPU、0.500 GiB 内存），按需 $0.0059/小时（约 $4.31/月）起。该区域的竞价实例还可额外节省最多 90%。
Why do cloud compute prices vary across different Microsoft Azure regions? ▼
Cloud infrastructure pricing varies across datacenter locations due to regional electricity costs, real estate expenses, local taxation, and connectivity transit fees. Regions like US East (N. Virginia) and Europe (Frankfurt/Ireland) typically offer the lowest baseline pricing due to massive economies of scale.
Can I launch Spot instances in uksouth? ▼
Yes, Microsoft Azure supports Spot and discounted excess capacity in uksouth, allowing cost reductions between 60% and 90% for interruptible and fault-tolerant workloads.