Queue age and browser RSS come before CPU brand
Most bad scraper runs are not clean CPU failures. Resident memory creeps up over the run. The queue gets older. The log writer waits on disk. Chrome restarts and the retry loop spends proxy traffic while the dashboard still says the run is alive.
The dashboard can lie here. Completed URLs, saved rows, and average request time may look fine while Chrome restarts, queue wait, and billed proxy bytes are buried elsewhere. That mismatch is usually where the extra bandwidth went.
Raw HTTP jobs — plain requests or curl loops (Python Requests proxy docs) — rarely care which CPU is underneath them. The limiting factor is the target's rate limit and the proxy route latency. Browser jobs are different: Playwright and Puppeteer workers accumulate RSS over time, and a box that runs 10 workers cleanly at the start of a session may stall at minute 40 when each tab has grown past 350 MB.
The comparison that tells you something
Run the same target set, same proxy route, same browser flags, and same worker count on both boxes. Let it run long enough for memory pressure to show — five minutes is warmup, not a benchmark. Watch queue age, accepted rows per minute, Chrome restarts, retry count, p95 target latency, CPU steal, and disk wait from iostat. If those numbers stay flat across both boxes, CPU brand is not the story.
Cinebench tells you single-thread score. It does not tell you what happens when 20 Chromium workers are live, the queue writer is flushing to disk, and the proxy gateway is responding at 180 ms. Those are different stress profiles.
| Metric | What it tells you | Where to read it |
|---|---|---|
| Queue age (seconds) | Work is piling up faster than workers process it | Your queue tool or job log |
| Chrome restart count | Workers are crashing under memory or CPU pressure | Process supervisor or systemd journal |
| Browser RSS per worker | RAM is the constraint, not CPU clock | pidstat -r 1 or top |
| CPU steal % | Hypervisor is throttling your core time | top or vmstat 1 |
| Disk wait (iowait) | Log or queue writes are blocking the run | iostat -x 1 |
| p95 target latency | Proxy route or target is slow, not the box | Your request log or proxy dashboard |
RAM headroom matters more than clock speed for browser workers
A Chromium tab under a JS-heavy target can exceed 300 MB RSS. At 20 workers that is 6 GB before the OS, queue process, and log writer. At 40 workers it is 12 GB. Run out of RAM and the CPU brand is irrelevant — the kernel starts swapping and every metric degrades together.
The Proxynade server catalog lists Ryzen options starting at $59.99/month with 48 GB RAM (upgradeable to 96 GB) and a second Ryzen tier at $69.99/month with 64 GB RAM (upgradeable to 128 GB). Check the pricing page for current specs. If a browser run already looks memory-heavy in testing, the higher-RAM option extends the useful worker count before pressure shows.
Intel is not in the current catalog. If you have an Intel host from another provider, run the same test suite beside a Proxynade Ryzen box and compare accepted rows per minute and Chrome restarts over a 30-minute session. That is an honest comparison. Provider-against-provider claims without matching test conditions are not.
When CPU brand stops mattering
The target is rate-limiting you. The proxy route is the slow hop. Disk write speed is queuing up behind log flushes. Any of those conditions makes the CPU comparison irrelevant — fix the bottleneck that is actually binding first.
The proxy side of this is worth calling out separately. If the Proxynade dashboard shows high latency or elevated retry counts for a specific target, the cause is usually the proxy route or the target's own rate limiter, not the server CPU. The network logs in the dashboard show host, outcome, latency, and byte totals per request — that is where to look before ordering a new box.
Proxy and scraping server FAQ
Does CPU brand matter more than RAM for browser scraping? RAM matters more once you run multiple Chromium workers. A browser tab can exceed 300 MB RSS under JS-heavy pages; at 20 workers that is 6 GB before the OS, queue, and log writer. Run out of RAM and the CPU brand is irrelevant.
What metrics show a CPU is the bottleneck, not the proxy route? CPU steal above 5%, consistent iowait above 10 ms from iostat, and p95 target latency that stays high even when the proxy route is fast. Queue age and Chrome restart count rule out most other causes first.
When does CPU brand stop being the deciding variable? When the target is rate-limiting you, when the proxy route is the slow hop, or when disk write speed is the queue bottleneck. Fix those first before running a CPU comparison.
Pre-benchmark checks
- Same proxy route, same worker count, same browser flags on both boxes.
- Run long enough for memory pressure to appear — at least 20–30 minutes.
- Log queue age, Chrome restarts, and accepted rows per minute, not just CPU %.
- Check the proxy dashboard network log before blaming the box.
- Do not change proxy session config, target pacing, or parser code mid-test.