Anchorage, United States

Server infrastructure for Data & Analytics in Anchorage

The right server for Data & Analytics is decided by the work it has to do, not by the size of the plan you happen to land on. For a large Data & Analytics business in Anchorage that is about 28 Cores, 448 GB of memory and 4000 GB of storage on Bare Metal.

Choose your infrastructure → From $4,063.90 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
Anchorage and its closest data centre Anchorage joined by a link to the Seattle data centre, 1,435 miles away. Anchorage Seattle Washington, United States
1,435 miles from Anchorage
35–69 ms estimated round trip

Estimated from fibre distance, not measured from Anchorage. 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 →

Medium Data & Analytics

11–50 people · ~50,000 visits a month


$1,208.65 USD USD

per month · Dedicated Server

  • 8 Cores
  • 128 GB RAM
  • 1500 GB storage
  • Managed
  • GPU on request

About 0.6 requests a second at peak, holding roughly 96 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 500,000 visits a month and roughly 266,667 requests a day, storage grows by roughly 280 GB a month at this size, which usually decides the build before CPU does; about 384 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.

  • 6.2 req/sec at peak
  • 384 GB working set
  • 280 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 Seattle marked as the closest to Anchorage. Seattle Anchorage

Anchorage is closest to Seattle. Every marker costs the same per month.

Show all 24 locations and distances from Anchorage ▾
Location Distance Est. round trip
Americas · 9 locations
Seattle, United States 1,435 miles 35–69 ms
Santa Clara, United States 2,042 miles 49–99 ms
Los Angeles, United States 2,340 miles 56–113 ms
Chicago, United States 2,850 miles 69–138 ms
Toronto, Canada 3,029 miles 73–146 ms
Dallas, United States 3,050 miles 74–147 ms
New York, United States 3,362 miles 81–162 ms
Atlanta, United States 3,402 miles 82–164 ms
Miami, United States 4,001 miles 97–193 ms
Asia-Pacific · 7 locations
Tokyo, Japan 3,459 miles 83–167 ms
Hong Kong, China 5,067 miles 122–245 ms
Delhi NCR, India 5,695 miles 137–275 ms
Kolkata, India 5,812 miles 140–281 ms
Mumbai, India 6,407 miles 155–309 ms
Singapore 6,672 miles 161–322 ms
Sydney, Australia 7,350 miles 177–355 ms
Europe, Middle East & Africa · 8 locations
Stockholm, Sweden 4,083 miles 99–197 ms
Amsterdam, The Netherlands 4,467 miles 108–216 ms
London, United Kingdom 4,472 miles 108–216 ms
Frankfurt, Germany 4,654 miles 112–225 ms
Milan, Italy 4,974 miles 120–240 ms
Bucharest, Romania 5,134 miles 124–248 ms
Madrid, Spain 5,162 miles 125–249 ms
Tel Aviv, Israel 5,985 miles 144–289 ms

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

Data & Analytics in Anchorage

The closest of our 24 data centres to Anchorage is Seattle, about 1,435 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.

Anchorage has a population of about 289,600, which is why the large 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/Anchorage, 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 Anchorage

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

Data centre Distance from Anchorage Estimated round trip
Seattleamericas 1,435 miles 35–69 ms
Santa Claraamericas 2,042 miles 49–99 ms
Los Angelesamericas 2,340 miles 56–113 ms

Anchorage sits in Alaska, 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 large size assumed above, that is roughly 266,667 requests a day crossing that link.

Data & Analytics hosting in Anchorage — FAQs

What size server does a Data & Analytics business in Anchorage, AK need?
Working from about 500,000 visits a month, we would start at 28 cores, 448 GB of memory and 4000 GB of storage on Bare Metal. 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 Anchorage, AK business actually run?
The closest of our 24 data centres to Anchorage, AK is , about 2,309 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 Anchorage

Same city, different workload.

Data & Analytics hosting nearby

The same workload, in the nearest cities.