Amazon Lightsail Memory Optimized 8Xlarge 32 vCPU / 256 GB, 9 TB transfer benchmarks

32 dedicated vCPU, 256 GB RAM, 1280 GB SSD

[Dedicated CPU](https://rackcensus.com/vps-categories/dedicated-cpu-vps-benchmarks)[High Memory](https://rackcensus.com/vps-categories/high-memory-vps-benchmarks)

$1,174.00/mo

$1.58/hr

$1,151.94/mo at 730 hours

[Visit Amazon Lightsail](https://rackcensus.com/go/lightsail)

# Performance by location
[Every run of this plan](https://rackcensus.com/benchmarks?filter%5Bplan%5D=lightsail-m-8xlarge-1-0&filter%5Bsort%5D=location)

Medians over the last 90 days. Same plan, same provider, different datacenters. Multi per $ divides the multi-core median by each location's current monthly price, USD only.

Price position

Cheaper than 95% of 19 similar plans

Same vCPU count and CPU type, 192 to 340 GB RAM, median $1,565

| Location | Runs | GB7 single | GB7 multi | 4K IOPS | Price | Multi per $ | Last tested |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Frankfurt Frankfurt, DE | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Ireland Dublin, IE | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| London London, GB | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Montreal Montreal, QC, CA | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Ohio Columbus, OH, US | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Oregon Boardman, OR, US | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Paris Paris, FR | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Seoul Seoul, KR | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Singapore Singapore, SG | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Stockholm Stockholm, SE | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Tokyo Tokyo, JP | 0 | n/a | n/a | n/a | $1,174.00/mo | n/a | Not tested yet |
| Virginia Ashburn, VA, US | 0 | n/a | n/a | n/a | $1,174.00/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.