See how an AccuWeb.Cloud VM performs under controlled testing across web load, CPU, memory, storage, and network performance — using documented open-source benchmark tools you can reproduce yourself.
AccuWeb.Cloud's performance report measures real cloud hosting performance on a standard 4 vCPU / 8 GB Cloud VPS — not just theoretical specifications. Using k6, sysbench, fio, and iperf3, we benchmark web load, CPU scaling, memory bandwidth, disk I/O, and private network latency across tested regions, including New York, with median results reported across five controlled runs. It is designed for teams comparing cloud hosting providers, evaluating Cloud VPS performance for production workloads, or validating how advertised infrastructure performs under real concurrent load.
We publish the VM configuration, testing tools, run count, and measured results — including where performance begins to degrade under stress — so you can evaluate the results yourself or reproduce the same tests against another provider.
9,640 req/sec at 1,000 concurrent users, 7.09ms P95, 0% errors.
Near-linear ~3.97× throughput scaling from 1 to 4 vCPU.
~30.3 GiB/s read, ~20.8 GiB/s write throughput.
13.1K random read IOPS at ~0.42ms P95 latency.
0.26ms private VM-to-VM latency, 0% packet loss.
Equinix Tier-3 data centers behind every one of these numbers.
Third-party names and marks belong to their respective owners and are shown for identification only.
Pricing comparison based on equivalent configurations as of 1 August 2026.
Every result below comes from a live test on a standard Cloud VPS instance, giving you a quick view of web, storage, memory, and network performance.
| Benchmark | Measured result | What it means |
|---|---|---|
| Web performance | 9,640 req/sec | Handles thousands of HTTP requests every second |
| P95 response time | 7.09 ms | 95% of requests completed within about 7 ms |
| HTTP success rate | 100% | No failed requests during the selected load test |
| 4K random read | 13.1K IOPS | Fast response for application and small-file workloads |
| Memory read | 30.3 GiB/s | High-speed memory throughput |
| Disk read | 390 MiB/s | Strong sequential storage performance |
| Private network latency | 0.26 ms | Fast VM-to-VM communication within the tested region |
We gradually increased concurrent virtual users while monitoring throughput, response time and HTTP failures.
This is the same load profile most WordPress, Laravel and Node.js sites see during a traffic spike. See how it stacks up on our price & feature comparison page.
Web results are based on a lightweight static Nginx HTTP workload and should not be interpreted as equivalent performance for every application.
Need more headroom later? Vertical scaling adds vCPUs to an existing VM, while auto horizontal scaling adds whole new instances under sustained load.
Moving from one vCPU to four vCPUs delivered almost 4× the processing throughput in our test. Additional compute resources translate efficiently into additional processing capability.
Memory bandwidth matters most for in-memory caches (Redis), database buffer pools, and anything running under fully managed hosting where we tune these settings for you.
Memory tests were repeated multiple times using a working set large enough to reduce CPU-cache influence.
5 controlled runs · Median result shownRandom I/O speed is what separates a snappy database from a slow one. Every VM ships with automated backup storage on top of this performance, at no extra setup cost.
These measurements help represent workloads involving databases, applications, operating-system activity and large-file transfers.
5 controlled runs · Median result shownSub-millisecond VM-to-VM latency matters for multi-tier apps — an API server talking to a database, or app nodes behind a load balancer. See our full list of global data centers for region-to-region options.
Measured ~191 Mbps in both directions against the configured 200 Mbps limit, alongside very low VM-to-VM latency in the same test.
These benchmarks run on the same infrastructure every AccuWeb.Cloud customer gets — dedicated resources on Equinix Tier-3 data centers, backed by a team that's run this platform at scale for years.
See the Security & Compliance Report →A 4 vCPU / 8 GB / 100 GB Cloud VPS on Ubuntu 24.04 LTS and AMD EPYC Milan hardware, plus a separate load-generator VM.
k6 for web load, sysbench for CPU and memory, fio for storage, iperf3 for network — five runs each.
We publish the representative median result, including where performance degrades under stress.
A separate load-generator VM was used so that traffic generation did not consume resources on the VM being measured.
CPU, memory and key storage benchmarks were repeated multiple times, with representative or median results used to reduce the effect of unusual individual runs.
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Choose the resources and region that fit your workload — the same infrastructure behind every number on this page.
