Dibba Al-Hisn, United Arab Emirates

Server infrastructure for Hospitals in Dibba Al-Hisn

Sizing infrastructure for Hospitals starts with the workload, then works back to cores, memory and disk. For a medium Hospitals business in Dibba Al-Hisn that is about 8 Cores, 128 GB of memory and 4000 GB of storage on Dedicated Server.

Choose your infrastructure → From $1,546.15 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
Dibba Al-Hisn and its closest data centre Dibba Al-Hisn joined by a link to the Mumbai data centre, 1,152 miles away. Dibba Al-Hisn Mumbai Maharashtra, India
1,152 miles from Dibba Al-Hisn
28–56 ms estimated round trip

Estimated from fibre distance, not measured from Dibba Al-Hisn. Your real figure depends on your connection and route, and lands inside this range.

Choose the infrastructure for your workload

Three sizes of business, each sized from an assumed traffic figure rather than a measured one. If you know your own numbers, tell us and the estimate changes with them.

Small Hospitals

1–10 people · ~5,000 visits a month


$668.65 USD USD

per month · VDS

  • 4 Cores
  • 48 GB RAM
  • 2000 GB storage
  • Managed

About 0.3 requests a second at peak, holding roughly 33.6 GB of working data.

Configure this build →

Large Hospitals

51+ people · ~500,000 visits a month


$4,063.90 USD USD

per month · Bare Metal

  • 28 Cores
  • 448 GB RAM
  • 4000 GB storage
  • Managed

About 32.4 requests a second at peak, holding roughly 384 GB of working data.

Configure this build →

These figures are assumptions stated out loud, not predictions about your business. Memory, cores and disk can all be raised on the same server later, usually within the hour, with no rebuild and no new IP address — so starting one size below the estimate is normally the cheaper mistake.

Why Hospitals size up this way

Working from about 50,000 visits a month and roughly 140,000 requests a day, storage grows by roughly 400 GB a month at this size, which usually decides the build before CPU does; and about 96 GB of data needs to stay in memory to keep queries fast.

  • 3.2 req/sec at peak
  • 96 GB working set
  • 400 GB/month growth
  • Linux

Which tiers suit Hospitals

Including the ones that do not, and why — that is usually the more useful half.

Infrastructure Verdict Why
Shared Hosting Managed space on a shared server Not this one Shared hosting gives you no control over where data sits or who else is on the machine, which regulated records cannot accept.
VPS Flexible virtual infrastructure with full root access Workable Workable for a small practice, with the caveat that you own the patching and audit trail unless you add management.
VDS Virtual server with resources pinned to you alone Recommended Isolated, pinned resources in a data centre you choose, which is usually what a data-residency obligation actually requires.
Dedicated Server An entire physical server, configured to your specification Recommended A single-tenant physical machine is the clearest answer to "who else can reach this data" — nobody.
Bare Metal Physical compute for sustained, demanding workloads Workable For larger estates running several regulated systems on hardware you control end to end.

Hospitals workloads you can host

Imaging dominates everything: a single CT study is hundreds of megabytes and none of it may ever be deleted.

  • Electronic patient records
  • Bed & theatre scheduling
  • PACS imaging archive
  • Pharmacy & prescribing
  • Lab orders & results

Where your server runs

All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.

Asia-Pacific coverage 7 live
Asia-Pacific data centre locations 7 locations across Asia-Pacific, with Mumbai marked as the closest to Dibba Al-Hisn. Mumbai Dibba Al-Hisn

Dibba Al-Hisn is closest to Mumbai. Every marker costs the same per month.

Show all 24 locations and distances from Dibba Al-Hisn ▾
Location Distance Est. round trip
Asia-Pacific · 7 locations
Mumbai, India 1,152 miles 28–56 ms
Delhi NCR, India 1,313 miles 32–63 ms
Kolkata, India 2,030 miles 49–98 ms
Singapore 3,578 miles 86–173 ms
Hong Kong, China 3,634 miles 88–175 ms
Tokyo, Japan 4,859 miles 117–235 ms
Sydney, Australia 7,447 miles 180–360 ms
Europe, Middle East & Africa · 8 locations
Tel Aviv, Israel 1,372 miles 33–66 ms
Bucharest, Romania 2,125 miles 51–103 ms
Milan, Italy 2,927 miles 71–141 ms
Stockholm, Sweden 2,959 miles 71–143 ms
Frankfurt, Germany 3,026 miles 73–146 ms
Amsterdam, The Netherlands 3,225 miles 78–156 ms
London, United Kingdom 3,422 miles 83–165 ms
Madrid, Spain 3,552 miles 86–171 ms
Americas · 9 locations
New York, United States 6,854 miles 165–331 ms
Toronto, Canada 6,887 miles 166–333 ms
Chicago, United States 7,234 miles 175–349 ms
Seattle, United States 7,377 miles 178–356 ms
Atlanta, United States 7,590 miles 183–366 ms
Miami, United States 7,851 miles 190–379 ms
Dallas, United States 8,030 miles 194–388 ms
Santa Clara, United States 8,084 miles 195–390 ms
Los Angeles, United States 8,298 miles 200–401 ms

Distances are from Dibba Al-Hisn. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.

Hospitals in Dibba Al-Hisn

The closest of our 24 data centres to Dibba Al-Hisn is Mumbai, about 1,152 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.

Dibba Al-Hisn has a population of about 26,395, which is why the medium build above is the one most likely to fit a Hospitals business here — though the other two are a click away if it does not. Local time is Asia/Dubai, so routine maintenance and backups are scheduled against your overnight rather than ours.

Data stays in the jurisdiction you choose, which matters if you are working to the UAE Personal Data Protection Law. Pricing is quoted in AED, and the figure is the same wherever the machine physically sits.

Network reach from Dibba Al-Hisn

Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.

Data centre Distance from Dibba Al-Hisn Estimated round trip
Mumbaiapac 1,152 miles 28–56 ms
Delhi NCRapac 1,313 miles 32–63 ms
Tel Avivemea 1,372 miles 33–66 ms

Dibba Al-Hisn sits in Sharjah, and every one of our 24 locations costs the same — so the only thing worth optimising is which of them your users are closest to. At the medium size assumed above, that is roughly 140,000 requests a day crossing that link.

Hospitals hosting in Dibba Al-Hisn — FAQs

What size server does a Hospitals business in Dibba Al-Hisn, Sharjah need?
Working from about 50,000 visits a month, we would start at 8 cores, 128 GB of memory and 4000 GB of storage on Dedicated Server. That is an assumption about traffic rather than a measurement of yours — if you know your real figures, the estimate changes with them.
Where would the server for my Dibba Al-Hisn, Sharjah business actually run?
The closest of our 24 data centres to Dibba Al-Hisn, Sharjah is , about 1,854 km away. You can choose any of the others at the same price — the server is wherever suits your users, not wherever you happen to be.
Is a VPS enough for Hospitals, or do we need a dedicated server?
Isolated, pinned resources in a data centre you choose, which is usually what a data-residency obligation actually requires. You can move up a tier later on the same data and the same IP address.
Can you host electronic patient records for us?
Yes — electronic patient records is exactly the kind of workload these builds are sized for, alongside bed & theatre scheduling and pacs imaging archive. Imaging dominates everything: a single CT study is hundreds of megabytes and none of it may ever be deleted.
Can we start smaller and grow?
Yes. Memory, cores and disk can all be raised on the same server, usually within the hour, with no rebuild and no new IP address. Starting one size below your estimate is normally the cheaper mistake.

Other industries in Dibba Al-Hisn

Same city, different workload.

Hospitals hosting nearby

The same workload, in the nearest cities.