San Francisco, United States
Server infrastructure for SaaS Companies in San Francisco
What SaaS Companies actually need from a server is predictable performance under load, and enough headroom to grow into. For a large SaaS business in San Francisco that is about 8 Cores, 64 GB of memory and 700 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 San Francisco. 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
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 Most likely here
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 San Francisco, 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 |
|---|---|---|---|
| B2B SaaS | 8 vCPU · 64 GB · 700 GB | VDS | Business-hours traffic in a handful of time zones, and an SLA that makes the quiet hours the wrong time to be... |
| Vertical SaaS | 12 vCPU · 96 GB · 700 GB | Dedicated Server | A narrow market means fewer, larger customers — one tenant's month-end can look like everybody else's peak. |
| Marketplace Platforms | 16 vCPU · 196 GB · 900 GB | Dedicated Server | Search across a live inventory is the expensive part, and it gets slower exactly as the marketplace succeeds. |
| Subscription Platforms | 16 vCPU · 96 GB · 700 GB | Dedicated Server | Billing runs are the load: a month's invoices generate on one day, and a failed run is a revenue problem rathe... |
| CRM Software | 8 vCPU · 128 GB · 800 GB | Dedicated Server | Email and calendar sync runs constantly in the background, so the machine is never quite idle even when nobody... |
| HR Software | 16 vCPU · 96 GB · 700 GB | Dedicated Server | 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.
San Francisco is closest to Santa Clara. Every marker costs the same per month.
Show all 24 locations and distances from San Francisco ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Santa Clara, United States | 39 miles | 1–2 ms |
| Los Angeles, United States | 347 miles | 8–17 ms |
| Seattle, United States | 679 miles | 16–33 ms |
| Dallas, United States | 1,481 miles | 36–71 ms |
| Chicago, United States | 1,855 miles | 45–90 ms |
| Atlanta, United States | 2,136 miles | 52–103 ms |
| Toronto, Canada | 2,264 miles | 55–109 ms |
| New York, United States | 2,566 miles | 62–124 ms |
| Miami, United States | 2,591 miles | 63–125 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 5,142 miles | 124–248 ms |
| Hong Kong, China | 6,895 miles | 166–333 ms |
| Sydney, Australia | 7,424 miles | 179–358 ms |
| Delhi NCR, India | 7,679 miles | 185–371 ms |
| Kolkata, India | 7,813 miles | 189–377 ms |
| Mumbai, India | 8,385 miles | 202–405 ms |
| Singapore | 8,440 miles | 204–407 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 5,354 miles | 129–258 ms |
| Stockholm, Sweden | 5,357 miles | 129–259 ms |
| Amsterdam, The Netherlands | 5,452 miles | 132–263 ms |
| Frankfurt, Germany | 5,675 miles | 137–274 ms |
| Madrid, Spain | 5,790 miles | 140–280 ms |
| Milan, Italy | 5,947 miles | 144–287 ms |
| Bucharest, Romania | 6,427 miles | 155–310 ms |
| Tel Aviv, Israel | 7,391 miles | 178–357 ms |
Distances are from San Francisco. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
SaaS Companies in San Francisco
We work with businesses across SoMa, the Mission, the Financial District, the Marina and Nob Hill. San Francisco audiences are tech-savvy and hold sites to a high bar for speed and design.
The closest of our 24 data centres to San Francisco is Santa Clara, about 39 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
San Francisco has a population of about 827,526, which is why the large 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/Los Angeles, 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 San Francisco
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from San Francisco | Estimated round trip |
|---|---|---|
| Santa Claraamericas | 39 miles | 1–2 ms |
| Los Angelesamericas | 347 miles | 8–17 ms |
| Seattleamericas | 679 miles | 16–33 ms |
San Francisco sits in California, 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.
SaaS Companies hosting in San Francisco — FAQs
What size server does a SaaS business in San Francisco, CA need?
Where would the server for my San Francisco, CA 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 San Francisco
Same city, different workload.
SaaS Companies hosting nearby
The same workload, in the nearest cities.