People spend hours comparing vCPU counts and then put the server on the wrong continent. For anything interactive — a shell, an API, a game, a bot talking to an exchange — the location often matters more than the hardware. The good news: latency is mostly physics, so you can predict it and measure it before you pay.
The physics in one line
Light in optical fibre travels about 200 km per millisecond. Cables don't run in straight lines and every router adds a little, so a solid rule of thumb is about 1 ms of round-trip time per 100 km of real-world distance.
| Route | Typical round trip |
|---|---|
| Within one city | 1–3 ms |
| Frankfurt ↔ Helsinki | 20–25 ms |
| Central Europe ↔ London | 10–20 ms |
| Europe ↔ US East Coast | 80–100 ms |
| Europe ↔ US West Coast | 140–170 ms |
| Europe ↔ Singapore / Tokyo | 160–250 ms |
No amount of CPU fixes a 200 ms round trip. If your users are in Tokyo, a server in Germany will feel slow no matter how fast it is.
What "close" means depends on the job
A website or API. Close to the majority of your users. A CDN hides distance for static files, but the first HTML response, logins, API calls and anything dynamic still travel to the origin.
A trading bot. Close to the exchange's API servers — not to you. Where you sit is irrelevant; the bot talks to the exchange hundreds of times a day. For arbitrage every few milliseconds count; for a bot that places a handful of orders a day, 30 ms makes no difference. More in low-latency VPS for trading bots.
An AI agent calling model APIs. Location barely matters. A model takes seconds to answer; 30 ms of network is noise. Pick on price and privacy.
A game server. Close to the players. Anything under ~60 ms feels fine for most games; competitive shooters want far less.
Remote desktop and SSH. Close to you. Typing over 150 ms of latency is miserable.
Measure it yourself
From your own machine, or from a server near your users, check the path to a candidate location:
mtr -rwc 50 example.com
mtr shows every hop with loss and latency — far more useful than a single ping, because it reveals where the delay is added.
From a VPS, measure the service you actually depend on, broken down by phase:
curl -o /dev/null -s -w 'dns %{time_namelookup}s connect %{time_connect}s tls %{time_appconnect}s total %{time_total}s\n' \
https://api.example.com/health
connect is roughly one network round trip, tls adds the handshake, and total includes the server's own processing time. If connect is 2 ms and total is 900 ms, distance isn't your problem.
Where EQVPS fits
Our servers are in Germany and Finland, and you choose the location per order. That covers users across Europe well, the Middle East reasonably, and European exchanges and API endpoints very well. Finland is a few milliseconds further from Western Europe and a little closer to the Nordics and the Baltics; for most workloads either works.
Honestly: we don't have locations in Asia or the Americas. If that's where your users are, a server in Europe adds 80–250 ms to every round trip, and you should host closer to them.
The short version
- Decide what the server talks to most — users, an exchange, an API, you.
- Put it near that, using ~1 ms per 100 km as your estimate.
- Measure with
mtrandcurl -winstead of trusting a map. - Don't pay for a faster CPU to fix a distance problem.
If you're choosing between a NAT and a dedicated-IP plan for the same box, that's a separate question — here's the one-question test.
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