DigitalOcean Storage-Optimized 2 vCPU / 16 GB benchmarks

2 dedicated vCPU, 16 GB RAM, 300 GB NVMe

[Dedicated CPU](https://www.rackcensus.com/vps-categories/dedicated-cpu-vps-benchmarks)[High Memory](https://www.rackcensus.com/vps-categories/high-memory-vps-benchmarks)[Storage Optimized](https://www.rackcensus.com/vps-categories/storage-optimized-vps-benchmarks)[NVMe Storage](https://www.rackcensus.com/vps-categories/nvme-storage-vps-benchmarks)

$131.00/mo

$0.19/hr

$142.31/mo at 730 hours

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# Performance by location
[Every run of this plan](https://www.rackcensus.com/benchmarks?filter%5Bplan%5D=digitalocean-storage-optimized-2-vcpu-16-gb&filter%5Bsort%5D=location)

Medians over the last 90 days. Multi per $ is the multi-core median divided by the current monthly price, USD only.

Price position

Cheaper than 0% of 13 similar plans

Same vCPU count and CPU type, 12 to 21 GB RAM, median $80

| Location | Runs | GB7 single | GB7 multi | 4K IOPS | Price | Multi per $ | Last tested |
| --- | --- | --- | --- | --- | --- | --- | --- |
| [Bangalore 1](https://www.rackcensus.com/locations/bangalore-vps-benchmarks "Every provider in Bangalore") Bangalore, IN | 0 | n/a | n/a | n/a | $131.00/mo | n/a | Not tested yet |
| [London 1](https://www.rackcensus.com/locations/london-vps-benchmarks "Every provider in London") London, GB | 0 | n/a | n/a | n/a | $131.00/mo | n/a | Not tested yet |
| [New York 1](https://www.rackcensus.com/locations/new-york-vps-benchmarks "Every provider in New York") New York, NY, US | 0 | n/a | n/a | n/a | $131.00/mo | n/a | Not tested yet |
| [San Francisco 2](https://www.rackcensus.com/locations/san-francisco-vps-benchmarks "Every provider in San Francisco") San Francisco, CA, US | 0 | n/a | n/a | n/a | $131.00/mo | n/a | Not tested yet |
| [Singapore 1](https://www.rackcensus.com/locations/singapore-vps-benchmarks "Every provider in Singapore") Singapore, SG | 0 | n/a | n/a | n/a | $131.00/mo | n/a | Not tested yet |

A location is highlighted only when it leads the next best by 5 percent or more. Smaller gaps are normal run-to-run variance.

Network results are not compared here. iperf3 targets are third-party servers, so distance to each target dominates the number.