Sandy Hills, United States

Server infrastructure for Bioinformatics in Sandy Hills

Sizing infrastructure for Bioinformatics starts with the workload, then works back to cores, memory and disk. For a medium Bioinformatics business in Sandy Hills that is about 8 Cores, 128 GB of memory and 2000 GB of storage on Dedicated Server.

Choose your infrastructure → From $1,276.15 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
Sandy Hills and its closest data centre Sandy Hills joined by a link to the Los Angeles data centre, 571 miles away. Sandy Hills Los Angeles California, United States
571 miles from Sandy Hills
14–28 ms estimated round trip

Estimated from fibre distance, not measured from Sandy Hills. 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 Bioinformatics

1–10 people · ~5,000 visits a month


$493.15 USD USD

per month · VDS

  • 4 Cores
  • 48 GB RAM
  • 700 GB storage
  • GPU on request

About 0.1 requests a second at peak, holding roughly 33.6 GB of working data.

Configure this build →

Large Bioinformatics

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
  • GPU on request

About 6.2 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 Bioinformatics size up this way

Working from about 50,000 visits a month and roughly 26,667 requests a day, storage grows by roughly 120 GB a month at this size, which usually decides the build before CPU does; about 96 GB of data needs to stay in memory to keep queries fast; and each request costs real computation rather than a cache lookup, so cores matter more here than on a typical site.

  • 0.6 req/sec at peak
  • 96 GB working set
  • 120 GB/month growth
  • Linux

Which tiers suit Bioinformatics

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 There is no version of this workload that fits on shared hosting.
VPS Flexible virtual infrastructure with full root access Workable Useful for development, notebooks and light inference, but not for training or sustained compute.
VDS Virtual server with resources pinned to you alone Workable Suits CPU-bound preprocessing and data preparation with a guaranteed share of the machine.
Dedicated Server An entire physical server, configured to your specification Recommended Production compute wants the whole machine, with memory bandwidth that is not being shared.
Bare Metal Physical compute for sustained, demanding workloads Recommended Training, inference and simulation belong on physical hardware, with GPUs available on request.

Bioinformatics workloads you can host

Reference databases are held in memory to be useful, and they are large before any of your own data arrives.

  • Analysis pipelines
  • Reference databases
  • Notebook environments
  • Job queues
  • Result visualisation

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 Los Angeles marked as the closest to Sandy Hills. Los Angeles Sandy Hills

Sandy Hills is closest to Los Angeles. Every marker costs the same per month.

Show all 24 locations and distances from Sandy Hills ▾
Location Distance Est. round trip
Americas · 9 locations
Los Angeles, United States 571 miles 14–28 ms
Santa Clara, United States 586 miles 14–28 ms
Seattle, United States 710 miles 17–34 ms
Dallas, United States 991 miles 24–48 ms
Chicago, United States 1,258 miles 30–61 ms
Atlanta, United States 1,577 miles 38–76 ms
Toronto, Canada 1,667 miles 40–80 ms
New York, United States 1,968 miles 48–95 ms
Miami, United States 2,081 miles 50–100 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 4,869 miles 118–235 ms
Stockholm, Sweden 4,967 miles 120–240 ms
Amsterdam, The Netherlands 4,986 miles 120–241 ms
Frankfurt, Germany 5,211 miles 126–252 ms
Madrid, Spain 5,252 miles 127–254 ms
Milan, Italy 5,466 miles 132–264 ms
Bucharest, Romania 6,010 miles 145–290 ms
Tel Aviv, Israel 6,983 miles 169–337 ms
Asia-Pacific · 7 locations
Tokyo, Japan 5,487 miles 132–265 ms
Hong Kong, China 7,181 miles 173–347 ms
Delhi NCR, India 7,625 miles 184–368 ms
Kolkata, India 7,884 miles 190–381 ms
Sydney, Australia 8,016 miles 194–387 ms
Mumbai, India 8,304 miles 200–401 ms
Singapore 8,773 miles 212–424 ms

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

Bioinformatics in Sandy Hills

The closest of our 24 data centres to Sandy Hills is Los Angeles, about 571 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.

Sandy Hills has a population of about 89,575, which is why the medium build above is the one most likely to fit a Bioinformatics business here — though the other two are a click away if it does not. Local time is America/Denver, 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 Sandy Hills

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

Data centre Distance from Sandy Hills Estimated round trip
Los Angelesamericas 571 miles 14–28 ms
Santa Claraamericas 586 miles 14–28 ms
Seattleamericas 710 miles 17–34 ms

Sandy Hills sits in Utah, 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 26,667 requests a day crossing that link.

Bioinformatics hosting in Sandy Hills — FAQs

What size server does a Bioinformatics business in Sandy Hills, UT need?
Working from about 50,000 visits a month, we would start at 8 cores, 128 GB of memory and 2000 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 Sandy Hills, UT business actually run?
The closest of our 24 data centres to Sandy Hills, UT is , about 920 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 Bioinformatics, or do we need a dedicated server?
Production compute wants the whole machine, with memory bandwidth that is not being shared. You can move up a tier later on the same data and the same IP address.
Can you host analysis pipelines for us?
Yes — analysis pipelines is exactly the kind of workload these builds are sized for, alongside reference databases and notebook environments. Reference databases are held in memory to be useful, and they are large before any of your own data arrives.
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 Sandy Hills

Same city, different workload.

Bioinformatics hosting nearby

The same workload, in the nearest cities.