King of Prussia, United States

Server infrastructure for Universities in King of Prussia

There is no single correct server for Universities; there is a correct one for the workload, the volume and the budget. For a small Universities business in King of Prussia that is about 2 Cores, 32 GB of memory and 1500 GB of storage on VDS.

Choose your infrastructure → From $502.60 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
King of Prussia and its closest data centre King of Prussia joined by a link to the New York data centre, 85 miles away. King of Prussia New York New York, United States
85 miles from King of Prussia
2–4 ms estimated round trip

Estimated from fibre distance, not measured from King of Prussia. 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.

Medium Universities

11–50 people · ~50,000 visits a month


$1,296.40 USD USD

per month · Dedicated Server

  • 6 Cores
  • 96 GB RAM
  • 4000 GB storage
  • Managed

About 32.4 requests a second at peak, holding roughly 64 GB of working data.

Configure this build →

Large Universities

51+ people · ~500,000 visits a month


$3,070.30 USD USD

per month · Bare Metal

  • 20 Cores
  • 320 GB RAM
  • 4000 GB storage
  • Managed

About 324.1 requests a second at peak, holding roughly 256 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 Universities size up this way

Working from about 5,000 visits a month and roughly 40,000 requests a day, peaks run about 7× the average hour, so the build is sized for the busiest moment rather than the typical one; storage grows by roughly 88 GB a month at this size, which usually decides the build before CPU does; and about 22 GB of data needs to stay in memory to keep queries fast.

  • 3.2 req/sec at peak
  • 22.4 GB working set
  • 88 GB/month growth
  • Linux

Which tiers suit Universities

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 cannot run background workers, queues or long-lived processes, which a SaaS application depends on.
VPS Flexible virtual infrastructure with full root access Recommended The natural home for an early-stage product: root access, your own runtime, and the ability to resize as you grow.
VDS Virtual server with resources pinned to you alone Recommended Pinned resources give you the predictable latency your customers will hold you to in an SLA.
Dedicated Server An entire physical server, configured to your specification Recommended Right once the database and the application tier are competing for the same memory on a single virtual instance.
Bare Metal Physical compute for sustained, demanding workloads Workable For platforms running their own virtualization, or holding a large working set entirely in memory.

Universities workloads you can host

Lecture capture and research data are the volume; assignment deadlines are the spike.

  • Virtual learning environment
  • Research data storage
  • Student records
  • Lecture capture
  • Library & repository

Where your server runs

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

Americas coverage 9 live
Americas data centre locations 9 locations across Americas, with New York marked as the closest to King of Prussia. New York King of Prussia

King of Prussia is closest to New York. Every marker costs the same per month.

Show all 24 locations and distances from King of Prussia ▾
Location Distance Est. round trip
Americas · 9 locations
New York, United States 85 miles 2–4 ms
Toronto, Canada 320 miles 8–15 ms
Chicago, United States 649 miles 16–31 ms
Atlanta, United States 662 miles 16–32 ms
Miami, United States 1,028 miles 25–50 ms
Dallas, United States 1,288 miles 31–62 ms
Seattle, United States 2,358 miles 57–114 ms
Los Angeles, United States 2,375 miles 57–115 ms
Santa Clara, United States 2,488 miles 60–120 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 3,545 miles 86–171 ms
Madrid, Spain 3,669 miles 89–177 ms
Amsterdam, The Netherlands 3,727 miles 90–180 ms
Frankfurt, Germany 3,938 miles 95–190 ms
Stockholm, Sweden 4,006 miles 97–193 ms
Milan, Italy 4,101 miles 99–198 ms
Bucharest, Romania 4,837 miles 117–234 ms
Tel Aviv, Israel 5,748 miles 139–278 ms
Asia-Pacific · 7 locations
Tokyo, Japan 6,747 miles 163–326 ms
Delhi NCR, India 7,384 miles 178–356 ms
Mumbai, India 7,867 miles 190–380 ms
Kolkata, India 7,983 miles 193–385 ms
Hong Kong, China 8,081 miles 195–390 ms
Singapore 9,573 miles 231–462 ms
Sydney, Australia 9,858 miles 238–476 ms

Distances are from King of Prussia. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.

Universities in King of Prussia

The closest of our 24 data centres to King of Prussia is New York, about 85 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.

King of Prussia has a population of about 19,936, which is why the small build above is the one most likely to fit a Universities business here — though the other two are a click away if it does not. Local time is America/New York, 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 state privacy laws such as the CCPA. Pricing is quoted in USD, and the figure is the same wherever the machine physically sits.

Network reach from King of Prussia

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

Data centre Distance from King of Prussia Estimated round trip
New Yorkamericas 85 miles 2–4 ms
Torontoamericas 320 miles 8–15 ms
Chicagoamericas 649 miles 16–31 ms

King of Prussia sits in Pennsylvania, 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 small size assumed above, that is roughly 40,000 requests a day crossing that link.

Universities hosting in King of Prussia — FAQs

What size server does a Universities business in King of Prussia, PA need?
Working from about 5,000 visits a month, we would start at 2 cores, 32 GB of memory and 1500 GB of storage on VDS. 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 King of Prussia, PA business actually run?
The closest of our 24 data centres to King of Prussia, PA is , about 137 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 Universities, or do we need a dedicated server?
The natural home for an early-stage product: root access, your own runtime, and the ability to resize as you grow. You can move up a tier later on the same data and the same IP address.
Can you host virtual learning environment for us?
Yes — virtual learning environment is exactly the kind of workload these builds are sized for, alongside research data storage and student records. Lecture capture and research data are the volume; assignment deadlines are the spike.
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 King of Prussia

Same city, different workload.

Universities hosting nearby

The same workload, in the nearest cities.