Baltimore, United States
Server infrastructure for Hotels & Hospitality Businesses in Baltimore
The right server for Hotels & Hospitality Businesses is decided by the work it has to do, not by the size of the plan you happen to land on. For a large Hospitality & Hotels business in Baltimore that is about 4 Cores, 24 GB of memory and 250 GB of storage on VDS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Baltimore. 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 Hospitality & Hotels
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 0.5 requests a second at peak, holding roughly 1.4 GB of working data.
Configure this build →Medium Hospitality & Hotels
11–50 people · ~50,000 visits a month
$97.40 USD USD
per month · VPS
- Single Core
- 8 GB RAM
- 80 GB storage
- Managed
About 5.4 requests a second at peak, holding roughly 4 GB of working data.
Configure this build →Large Hospitality & Hotels Most likely here
51+ people · ~500,000 visits a month
$296.05 USD USD
per month · VDS
- 4 Cores
- 24 GB RAM
- 250 GB storage
- Managed
About 54.0 requests a second at peak, holding roughly 16 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.
Which tiers suit Hotels & Hospitality Businesses
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 | Workable | Workable for a single small property or practice, though a shared database is the first thing to strain when bookings cluster. |
| VPS Flexible virtual infrastructure with full root access | Recommended | A VPS handles a booking engine and its database comfortably, with predictable performance when enquiries spike. |
| VDS Virtual server with resources pinned to you alone | Recommended | Pinned resources matter here: a reservation that times out at the payment step is a booking you never see. |
| Dedicated Server An entire physical server, configured to your specification | Workable | Right once you are running several properties, or a property management system alongside the public site. |
| Bare Metal Physical compute for sustained, demanding workloads | Not this one | Reservation workloads are database-bound rather than compute-bound, so the extra physical capacity goes unused. |
Hotels & Hospitality Businesses workloads you can host
- Hotel website
- Booking engine
- Property management system
- Reservation database
- Guest portal
- Channel manager
- Revenue management
Hospitality & Hotels in Baltimore, business by business
These are not the same workload. Sized at the large band, here is what each one actually needs.
| Business | Build | Tier | What decides it |
|---|---|---|---|
| Hotels | 4 vCPU · 24 GB · 250 GB | VDS | The PMS is the system of record and the channel manager talks to it constantly — a stale rate pushed to an OTA... |
| Resorts | 4 vCPU · 48 GB · 1500 GB | VDS | A resort sells a stay plus everything inside it, so the booking system carries far more than rooms. |
| Motels | 2 vCPU · 12 GB · 200 GB | VPS | Short stays booked at short notice: high turnover of small records rather than a large database. |
| Boutique Hotels | 4 vCPU · 24 GB · 250 GB | VDS | The whole point is winning the direct booking rather than paying commission, so the site itself is the revenue... |
| Hostels | 4 vCPU · 24 GB · 200 GB | VDS | Inventory is a bed rather than a room, which multiplies the rows and makes availability a harder question to a... |
| Bed & Breakfasts | 2 vCPU · 8 GB · 200 GB | VPS | A handful of rooms and a personal calendar — the smallest infrastructure in hospitality. |
| Vacation Rentals | 4 vCPU · 48 GB · 300 GB | VDS | Every property is its own calendar and every channel wants to be authoritative — reconciliation is the workloa... |
| Serviced Apartments | 2 vCPU · 32 GB · 250 GB | VDS | Stays are measured in months, so this looks more like tenancy management than nightly booking. |
| Campgrounds | 6 vCPU · 24 GB · 200 GB | VDS | Severely seasonal: a year's bookings can arrive in the fortnight the summer calendar opens. |
| RV Parks | 4 vCPU · 24 GB · 200 GB | VDS | Availability depends on whether the rig physically fits the pitch, so the booking rules are geometry as well a... |
| Hotel Management Companies | 8 vCPU · 128 GB · 500 GB | Dedicated Server | Running many properties turns reporting into the heavy query — every figure is an aggregate across the estate. |
| Property Management Systems | 16 vCPU · 196 GB · 1000 GB | Dedicated Server | The night audit is a hard nightly deadline that touches every open folio at once. |
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Baltimore is closest to New York. Every marker costs the same per month.
Show all 24 locations and distances from Baltimore ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| New York, United States | 169 miles | 4–8 ms |
| Toronto, Canada | 334 miles | 8–16 ms |
| Atlanta, United States | 577 miles | 14–28 ms |
| Chicago, United States | 605 miles | 15–29 ms |
| Miami, United States | 958 miles | 23–46 ms |
| Dallas, United States | 1,211 miles | 29–58 ms |
| Los Angeles, United States | 2,315 miles | 56–112 ms |
| Seattle, United States | 2,328 miles | 56–112 ms |
| Santa Clara, United States | 2,436 miles | 59–118 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,630 miles | 88–175 ms |
| Madrid, Spain | 3,751 miles | 91–181 ms |
| Amsterdam, The Netherlands | 3,811 miles | 92–184 ms |
| Frankfurt, Germany | 4,023 miles | 97–194 ms |
| Stockholm, Sweden | 4,088 miles | 99–197 ms |
| Milan, Italy | 4,186 miles | 101–202 ms |
| Bucharest, Romania | 4,922 miles | 119–238 ms |
| Tel Aviv, Israel | 5,833 miles | 141–282 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,765 miles | 163–327 ms |
| Delhi NCR, India | 7,460 miles | 180–360 ms |
| Mumbai, India | 7,948 miles | 192–384 ms |
| Kolkata, India | 8,054 miles | 194–389 ms |
| Hong Kong, China | 8,123 miles | 196–392 ms |
| Singapore | 9,629 miles | 232–465 ms |
| Sydney, Australia | 9,788 miles | 236–473 ms |
Distances are from Baltimore. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Hotels & Hospitality Businesses in Baltimore
We work with businesses across the Inner Harbor, Fells Point, Federal Hill, Canton and Mount Vernon. Baltimore is a neighbourhood-driven market where local SEO and reviews convert.
Hospitality & Hotels is one of the sectors Baltimore is known for, so this is a workload we are asked about here more than most.
The closest of our 24 data centres to Baltimore is New York, about 169 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.
Baltimore has a population of about 585,708, which is why the large build above is the one most likely to fit a Hospitality & Hotels business here — though the other two are a click away if it does not. Local time is America/New York, 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 Baltimore
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Baltimore | Estimated round trip |
|---|---|---|
| New Yorkamericas | 169 miles | 4–8 ms |
| Torontoamericas | 334 miles | 8–16 ms |
| Atlantaamericas | 577 miles | 14–28 ms |
Baltimore sits in Maryland, 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 1,166,667 requests a day crossing that link.
Hotels & Hospitality Businesses hosting in Baltimore — FAQs
What size server does a Hospitality & Hotels business in Baltimore, MD need?
Where would the server for my Baltimore, MD business actually run?
Is a VPS enough for Hotels & Hospitality Businesses, or do we need a dedicated server?
Can you host hotel website for us?
Can we start smaller and grow?
Other industries in Baltimore
Same city, different workload.