New York 1 (nyc1) 地域最便宜的 DigitalOcean 实例
DigitalOcean 在 New York 1 (nyc1) 地域的算力价格、硬件规格及性价比排行。
摘要与快速解答
New York 1 (nyc1) 最便宜的 DigitalOcean 实例是 s-1vcpu-512mb-10gb（1 vCPU、0.500 GiB 内存），按需 $0.0060/小时（约 $4.34/月）起。该区域的竞价实例还可额外节省最多 90%。
云厂商
DigitalOcean地域
nyc1
位置
🇺🇸New York 1 (United States)
New York 1 地域最便宜的 DigitalOcean 实例
DigitalOcean 数据中心地域 nyc1 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 |  DigitalOcean | s-1vcpu-512mb-10gb | United Statesnyc1 | 1 | 0.5 GiB | — | —/月 | — | 详情 |
| #2 | DigitalOcean | s-1vcpu-1gb | United Statesnyc1 | 1 | 1 GiB | — | —/月 | — | 详情 |
| #3 | DigitalOcean | s-1vcpu-1gb-intel | United Statesnyc1 | 1 | 1 GiB | — | —/月 | — | 详情 |
| #4 | DigitalOcean | s-1vcpu-1gb-35gb-intel | United Statesnyc1 | 1 | 1 GiB | — | —/月 | — | 详情 |
| #5 | DigitalOcean | s-1vcpu-2gb | United Statesnyc1 | 1 | 2 GiB | — | —/月 | — | 详情 |
| #6 | DigitalOcean | s-1vcpu-2gb-intel | United Statesnyc1 | 1 | 2 GiB | — | —/月 | — | 详情 |
| #7 | DigitalOcean | s-1vcpu-2gb-70gb-intel | United Statesnyc1 | 1 | 2 GiB | — | —/月 | — | 详情 |
| #8 | DigitalOcean | s-2vcpu-2gb | United Statesnyc1 | 2 | 2 GiB | — | —/月 | — | 详情 |
| #9 | DigitalOcean | s-2vcpu-2gb-intel | United Statesnyc1 | 2 | 2 GiB | — | —/月 | — | 详情 |
| #10 | DigitalOcean | s-2vcpu-4gb | United Statesnyc1 | 2 | 4 GiB | — | —/月 | — | 详情 |
| #11 | DigitalOcean | s-2vcpu-2gb-90gb-intel | United Statesnyc1 | 2 | 2 GiB | — | —/月 | — | 详情 |
| #12 | DigitalOcean | s-2vcpu-4gb-intel | United Statesnyc1 | 2 | 4 GiB | — | —/月 | — | 详情 |
| #13 | DigitalOcean | s-2vcpu-4gb-120gb-intel | United Statesnyc1 | 2 | 4 GiB | — | —/月 | — | 详情 |
| #14 | DigitalOcean | c-2 | United Statesnyc1 | 2 | 4 GiB | — | —/月 | — | 详情 |
| #15 | DigitalOcean | s-2vcpu-8gb-160gb-intel | United Statesnyc1 | 2 | 8 GiB | — | —/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。
DigitalOcean 其他数据中心地域
United States · north-america
United States · north-america
Netherlands · europe
Germany · europe
United Kingdom · europe
Singapore · asia
India · asia
Australia · oceania
DigitalOcean 主流横向对比
Hetzner offers unbeatable raw compute and RAM value (2x to 4x more resources per dollar compared to DigitalOcean), while DigitalOcean provides a broader suite of developer-friendly managed products (Managed Databases, App Platform, Kubernetes) and a larger North American and Asian footprint.
DigitalOcean and Linode offer nearly identical entry-level pricing ($4-$6/mo for 1GB VPS). Linode excels in raw CPU clock speeds and seamless integration with Akamai’s enterprise CDN and DDoS edge, while DigitalOcean leads in PaaS developer experience and documentation.
DigitalOcean provides predictable, flat-rate pricing with generous bandwidth and minimal overhead, making it ideal for small-to-medium teams. AWS is best suited for complex distributed architectures that require extensive compliance, enterprise IAM, and specialized hardware.
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 DigitalOcean instance in nyc1? ▼
New York 1 (nyc1) 最便宜的 DigitalOcean 实例是 s-1vcpu-512mb-10gb（1 vCPU、0.500 GiB 内存），按需 $0.0060/小时（约 $4.34/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 DigitalOcean 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 nyc1? ▼
Yes, DigitalOcean supports Spot and discounted excess capacity in nyc1, allowing cost reductions between 60% and 90% for interruptible and fault-tolerant workloads.