University of Texas, United States
Server infrastructure for SaaS Companies in University of Texas
The right server for SaaS Companies is decided by the work it has to do, not by the size of the plan you happen to land on. For a medium SaaS business in University of Texas that is about Single Core, 16 GB of memory and 200 GB of storage on VPS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from University of Texas. 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 SaaS
1–10 people · ~5,000 visits a month
$97.40 USD USD
per month · VPS
- Single Core
- 8 GB RAM
- 80 GB storage
About 1.4 requests a second at peak, holding roughly 4.2 GB of working data.
Configure this build →Medium SaaS Most likely here
11–50 people · ~50,000 visits a month
$173 USD USD
per month · VPS
- Single Core
- 16 GB RAM
- 200 GB storage
- Managed
About 13.9 requests a second at peak, holding roughly 12 GB of working data.
Configure this build →Large SaaS
51+ people · ~500,000 visits a month
$668.65 USD USD
per month · VDS
- 8 Cores
- 64 GB RAM
- 700 GB storage
- Managed
About 138.9 requests a second at peak, holding roughly 48 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 SaaS Companies
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. |
SaaS Companies workloads you can host
- Multi-tenant application
- Background job queues
- Customer databases
- Webhooks & integrations
- Reporting workloads
SaaS in University of Texas, business by business
These are not the same workload. Sized at the medium band, here is what each one actually needs.
| Business | Build | Tier | What decides it |
|---|---|---|---|
| B2B SaaS | 1 vCPU · 16 GB · 200 GB | VPS | Business-hours traffic in a handful of time zones, and an SLA that makes the quiet hours the wrong time to be... |
| Vertical SaaS | 2 vCPU · 16 GB · 200 GB | VPS | A narrow market means fewer, larger customers — one tenant's month-end can look like everybody else's peak. |
| Marketplace Platforms | 4 vCPU · 48 GB · 250 GB | VDS | Search across a live inventory is the expensive part, and it gets slower exactly as the marketplace succeeds. |
| Subscription Platforms | 2 vCPU · 16 GB · 200 GB | VPS | Billing runs are the load: a month's invoices generate on one day, and a failed run is a revenue problem rathe... |
| CRM Software | 2 vCPU · 32 GB · 250 GB | VDS | Email and calendar sync runs constantly in the background, so the machine is never quite idle even when nobody... |
| HR Software | 2 vCPU · 16 GB · 200 GB | VPS | Payroll is a hard deadline rather than a busy period, and it touches every record 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.
University of Texas is closest to Dallas. Every marker costs the same per month.
Show all 24 locations and distances from University of Texas ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Dallas, United States | 181 miles | 4–9 ms |
| Atlanta, United States | 817 miles | 20–39 ms |
| Chicago, United States | 978 miles | 24–47 ms |
| Miami, United States | 1,114 miles | 27–54 ms |
| Los Angeles, United States | 1,225 miles | 30–59 ms |
| Toronto, Canada | 1,365 miles | 33–66 ms |
| Santa Clara, United States | 1,468 miles | 35–71 ms |
| New York, United States | 1,510 miles | 36–73 ms |
| Seattle, United States | 1,769 miles | 43–85 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 4,914 miles | 119–237 ms |
| Amsterdam, The Netherlands | 5,078 miles | 123–245 ms |
| Madrid, Spain | 5,092 miles | 123–246 ms |
| Stockholm, Sweden | 5,251 miles | 127–254 ms |
| Frankfurt, Germany | 5,298 miles | 128–256 ms |
| Milan, Italy | 5,489 miles | 133–265 ms |
| Bucharest, Romania | 6,180 miles | 149–298 ms |
| Tel Aviv, Israel | 7,123 miles | 172–344 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,551 miles | 158–316 ms |
| Hong Kong, China | 8,230 miles | 199–397 ms |
| Delhi NCR, India | 8,360 miles | 202–404 ms |
| Sydney, Australia | 8,470 miles | 204–409 ms |
| Kolkata, India | 8,762 miles | 212–423 ms |
| Mumbai, India | 8,970 miles | 217–433 ms |
| Singapore | 9,830 miles | 237–475 ms |
Distances are from University of Texas. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
SaaS Companies in University of Texas
The closest of our 24 data centres to University of Texas is Dallas, about 181 miles away. Choosing the closest data centre is the cheapest performance improvement available, and it costs nothing extra.
University of Texas has a population of about 53,082, which is why the medium build above is the one most likely to fit a SaaS 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 University of Texas
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from University of Texas | Estimated round trip |
|---|---|---|
| Dallasamericas | 181 miles | 4–9 ms |
| Atlantaamericas | 817 miles | 20–39 ms |
| Chicagoamericas | 978 miles | 24–47 ms |
University of Texas sits in Texas, 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 400,000 requests a day crossing that link.
SaaS Companies hosting in University of Texas — FAQs
What size server does a SaaS business in University of Texas, TX need?
Where would the server for my University of Texas, TX business actually run?
Is a VPS enough for SaaS Companies, or do we need a dedicated server?
Can you host multi-tenant application for us?
Can we start smaller and grow?
Other industries in University of Texas
Same city, different workload.
SaaS Companies hosting nearby
The same workload, in the nearest cities.