Antelope, United States

Server infrastructure for Data & Analytics in Antelope

Infrastructure for Data & Analytics is a question of matching the machine to the application, then putting it near the people using it. For a medium Data & Analytics business in Antelope that is about 8 Cores, 128 GB of memory and 1500 GB of storage on Dedicated Server.

Choose your infrastructure → From $1,208.65 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
Antelope and its closest data centre Antelope joined by a link to the Santa Clara data centre, 100 miles away. Antelope Santa Clara California, United States
100 miles from Antelope
2–5 ms estimated round trip

Estimated from fibre distance, not measured from Antelope. 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 Data & Analytics

1–10 people · ~5,000 visits a month


$459.40 USD USD

per month · VDS

  • 4 Cores
  • 48 GB RAM
  • 450 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 Data & Analytics

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 Data & Analytics size up this way

Working from about 50,000 visits a month and roughly 26,667 requests a day, storage grows by roughly 70 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
  • 70 GB/month growth
  • Linux

Which tiers suit Data & Analytics

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.

Data & Analytics workloads you can host

Warehouse queries scan far more data than they return, so memory bandwidth decides whether a dashboard loads in two seconds or twenty.

  • Data warehouse
  • ETL pipelines
  • BI dashboards
  • Columnar storage
  • Scheduled reporting

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 Santa Clara marked as the closest to Antelope. Santa Clara Antelope

Antelope is closest to Santa Clara. Every marker costs the same per month.

Show all 24 locations and distances from Antelope ▾
Location Distance Est. round trip
Americas · 9 locations
Santa Clara, United States 100 miles 2–5 ms
Los Angeles, United States 365 miles 9–18 ms
Seattle, United States 617 miles 15–30 ms
Dallas, United States 1,431 miles 35–69 ms
Chicago, United States 1,778 miles 43–86 ms
Atlanta, United States 2,073 miles 50–100 ms
Toronto, Canada 2,184 miles 53–105 ms
New York, United States 2,489 miles 60–120 ms
Miami, United States 2,540 miles 61–123 ms
Asia-Pacific · 7 locations
Tokyo, Japan 5,155 miles 124–249 ms
Hong Kong, China 6,900 miles 167–333 ms
Sydney, Australia 7,507 miles 181–362 ms
Delhi NCR, India 7,636 miles 184–369 ms
Kolkata, India 7,787 miles 188–376 ms
Mumbai, India 8,340 miles 201–403 ms
Singapore 8,455 miles 204–408 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 5,268 miles 127–254 ms
Stockholm, Sweden 5,277 miles 127–255 ms
Amsterdam, The Netherlands 5,366 miles 130–259 ms
Frankfurt, Germany 5,590 miles 135–270 ms
Madrid, Spain 5,702 miles 138–275 ms
Milan, Italy 5,861 miles 141–283 ms
Bucharest, Romania 6,345 miles 153–306 ms
Tel Aviv, Israel 7,310 miles 176–353 ms

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

Data & Analytics in Antelope

The closest of our 24 data centres to Antelope is Santa Clara, about 100 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.

Antelope has a population of about 45,770, which is why the medium build above is the one most likely to fit a Data & Analytics business here — though the other two are a click away if it does not. Local time is America/Los Angeles, 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 Antelope

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

Data centre Distance from Antelope Estimated round trip
Santa Claraamericas 100 miles 2–5 ms
Los Angelesamericas 365 miles 9–18 ms
Seattleamericas 617 miles 15–30 ms

Antelope sits in California, 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.

Data & Analytics hosting in Antelope — FAQs

What size server does a Data & Analytics business in Antelope, CA need?
Working from about 50,000 visits a month, we would start at 8 cores, 128 GB of memory and 1500 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 Antelope, CA business actually run?
The closest of our 24 data centres to Antelope, CA is , about 160 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 Data & Analytics, 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 data warehouse for us?
Yes — data warehouse is exactly the kind of workload these builds are sized for, alongside etl pipelines and bi dashboards. Warehouse queries scan far more data than they return, so memory bandwidth decides whether a dashboard loads in two seconds or twenty.
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 Antelope

Same city, different workload.

Data & Analytics hosting nearby

The same workload, in the nearest cities.