Hobbs, United States

Server infrastructure for AI & Machine Learning in Hobbs

Sizing infrastructure for AI & Machine Learning starts with the workload, then works back to cores, memory and disk. For a medium AI & Machine Learning business in Hobbs that is about 6 Cores, 96 GB of memory and 1500 GB of storage on Dedicated Server.

Choose your infrastructure → From $958.90 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
Hobbs and its closest data centre Hobbs joined by a link to the Dallas data centre, 368 miles away. Hobbs Dallas Texas, United States
368 miles from Hobbs
9–18 ms estimated round trip

Estimated from fibre distance, not measured from Hobbs. 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 AI & Machine Learning

1–10 people · ~5,000 visits a month


$360.85 USD USD

per month · VDS

  • 2 Cores
  • 32 GB RAM
  • 450 GB storage
  • GPU on request

About 0.1 requests a second at peak, holding roughly 22.4 GB of working data.

Configure this build →

Large AI & Machine Learning

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
  • GPU on request

About 6.2 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 AI & Machine Learning size up this way

Working from about 50,000 visits a month and roughly 26,667 requests a day, storage grows by roughly 80 GB a month at this size, which usually decides the build before CPU does; about 64 GB of data needs to stay in memory to keep queries fast; each request costs real computation rather than a cache lookup, so cores matter more here than on a typical site; and a GPU is genuinely used rather than optional, and is quoted separately.

  • 0.6 req/sec at peak
  • 64 GB working set
  • 80 GB/month growth
  • Linux

Which tiers suit AI & Machine Learning

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.

AI & Machine Learning workloads you can host

Training saturates hardware for hours at a time and inference wants it available instantly — two opposite demands usually met with two different machines.

  • Model training
  • Inference endpoints
  • Vector databases
  • Dataset storage
  • Experiment tracking
  • GPU scheduling

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 Dallas marked as the closest to Hobbs. Dallas Hobbs

Hobbs is closest to Dallas. Every marker costs the same per month.

Show all 24 locations and distances from Hobbs ▾
Location Distance Est. round trip
Americas · 9 locations
Dallas, United States 368 miles 9–18 ms
Los Angeles, United States 876 miles 21–42 ms
Chicago, United States 1,059 miles 26–51 ms
Atlanta, United States 1,085 miles 26–52 ms
Santa Clara, United States 1,110 miles 27–54 ms
Seattle, United States 1,437 miles 35–69 ms
Miami, United States 1,461 miles 35–71 ms
Toronto, Canada 1,488 miles 36–72 ms
New York, United States 1,697 miles 41–82 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 4,992 miles 120–241 ms
Amsterdam, The Netherlands 5,141 miles 124–248 ms
Madrid, Spain 5,237 miles 126–253 ms
Stockholm, Sweden 5,250 miles 127–253 ms
Frankfurt, Germany 5,365 miles 130–259 ms
Milan, Italy 5,579 miles 135–269 ms
Bucharest, Romania 6,226 miles 150–301 ms
Tel Aviv, Israel 7,187 miles 173–347 ms
Asia-Pacific · 7 locations
Tokyo, Japan 6,209 miles 150–300 ms
Hong Kong, China 7,908 miles 191–382 ms
Delhi NCR, India 8,206 miles 198–396 ms
Sydney, Australia 8,244 miles 199–398 ms
Kolkata, India 8,543 miles 206–412 ms
Mumbai, India 8,850 miles 214–427 ms
Singapore 9,499 miles 229–459 ms

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

AI & Machine Learning in Hobbs

The closest of our 24 data centres to Hobbs is Dallas, about 368 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.

Hobbs has a population of about 38,416, which is why the medium build above is the one most likely to fit a AI & Machine Learning 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 Hobbs

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

Data centre Distance from Hobbs Estimated round trip
Dallasamericas 368 miles 9–18 ms
Los Angelesamericas 876 miles 21–42 ms
Chicagoamericas 1,059 miles 26–51 ms

Hobbs sits in New Mexico, 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.

AI & Machine Learning hosting in Hobbs — FAQs

What size server does a AI & Machine Learning business in Hobbs, NM need?
Working from about 50,000 visits a month, we would start at 6 cores, 96 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 Hobbs, NM business actually run?
The closest of our 24 data centres to Hobbs, NM is , about 593 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 AI & Machine Learning, 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 model training for us?
Yes — model training is exactly the kind of workload these builds are sized for, alongside inference endpoints and vector databases. Training saturates hardware for hours at a time and inference wants it available instantly — two opposite demands usually met with two different machines.
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 Hobbs

Same city, different workload.

AI & Machine Learning hosting nearby

The same workload, in the nearest cities.