Minneapolis, United States

Server infrastructure for Mining Software in Minneapolis

Infrastructure for Mining Software is a question of matching the machine to the application, then putting it near the people using it. For a large Mining Software business in Minneapolis 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
Minneapolis and its closest data centre Minneapolis joined by a link to the Chicago data centre, 355 miles away. Minneapolis Chicago Illinois, United States
355 miles from Minneapolis
9–17 ms estimated round trip

Estimated from fibre distance, not measured from Minneapolis. 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 Mining Software

1–10 people · ~5,000 visits a month


$466.15 USD USD

per month · VDS

  • 4 Cores
  • 48 GB RAM
  • 500 GB storage

About 1.4 requests a second at peak, holding roughly 33.6 GB of working data.

Configure this build →

Medium Mining Software

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

About 13.9 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 Mining Software size up this way

Working from about 500,000 visits a month and roughly 4,000,000 requests a day, storage grows by roughly 360 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.

  • 138.9 req/sec at peak
  • 384 GB working set
  • 360 GB/month growth
  • Linux

Which tiers suit Mining Software

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.

Mining Software workloads you can host

Block models and scheduling optimisation are batch compute jobs measured in hours.

  • Block model processing
  • Mine planning
  • Scheduling optimisation
  • Survey integration
  • 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 Chicago marked as the closest to Minneapolis. Chicago Minneapolis

Minneapolis is closest to Chicago. Every marker costs the same per month.

Show all 24 locations and distances from Minneapolis ▾
Location Distance Est. round trip
Americas · 9 locations
Chicago, United States 355 miles 9–17 ms
Toronto, Canada 691 miles 17–33 ms
Dallas, United States 864 miles 21–42 ms
Atlanta, United States 908 miles 22–44 ms
New York, United States 1,016 miles 25–49 ms
Seattle, United States 1,391 miles 34–67 ms
Miami, United States 1,514 miles 37–73 ms
Los Angeles, United States 1,522 miles 37–73 ms
Santa Clara, United States 1,573 miles 38–76 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 4,011 miles 97–194 ms
Amsterdam, The Netherlands 4,153 miles 100–200 ms
Stockholm, Sweden 4,251 miles 103–205 ms
Madrid, Spain 4,315 miles 104–208 ms
Frankfurt, Germany 4,377 miles 106–211 ms
Milan, Italy 4,603 miles 111–222 ms
Bucharest, Romania 5,230 miles 126–253 ms
Tel Aviv, Israel 6,194 miles 150–299 ms
Asia-Pacific · 7 locations
Tokyo, Japan 5,958 miles 144–288 ms
Delhi NCR, India 7,323 miles 177–354 ms
Hong Kong, China 7,476 miles 180–361 ms
Kolkata, India 7,768 miles 188–375 ms
Mumbai, India 7,926 miles 191–383 ms
Sydney, Australia 9,004 miles 217–435 ms
Singapore 9,068 miles 219–438 ms

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

Mining Software in Minneapolis

The closest of our 24 data centres to Minneapolis is Chicago, about 355 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.

Minneapolis has a population of about 410,939, which is why the large build above is the one most likely to fit a Mining Software business here — though the other two are a click away if it does not. Local time is America/Chicago, 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 Minneapolis

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

Data centre Distance from Minneapolis Estimated round trip
Chicagoamericas 355 miles 9–17 ms
Torontoamericas 691 miles 17–33 ms
Dallasamericas 864 miles 21–42 ms

Minneapolis sits in Minnesota, 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 4,000,000 requests a day crossing that link.

Mining Software hosting in Minneapolis — FAQs

What size server does a Mining Software business in Minneapolis, MN 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 Minneapolis, MN business actually run?
The closest of our 24 data centres to Minneapolis, MN is , about 571 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 Mining Software, 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 block model processing for us?
Yes — block model processing is exactly the kind of workload these builds are sized for, alongside mine planning and scheduling optimisation. Block models and scheduling optimisation are batch compute jobs measured in hours.
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 Minneapolis

Same city, different workload.

Mining Software hosting nearby

The same workload, in the nearest cities.