San Francisco, United States
Server infrastructure for Blockchain in San Francisco
The right server for Blockchain is decided by the work it has to do, not by the size of the plan you happen to land on. For a large Blockchain business in San Francisco that is about 20 Cores, 320 GB of memory and 4000 GB of storage on Bare Metal.
- ✓ 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 Blockchain
1–10 people · ~5,000 visits a month
$408.10 USD USD
per month · VDS
- 2 Cores
- 32 GB RAM
- 800 GB storage
About 1.4 requests a second at peak, holding roughly 22.4 GB of working data.
Configure this build →Medium Blockchain
11–50 people · ~50,000 visits a month
$1,161.40 USD USD
per month · Dedicated Server
- 6 Cores
- 96 GB RAM
- 3000 GB storage
- Managed
About 13.9 requests a second at peak, holding roughly 64 GB of working data.
Configure this build →Large Blockchain Most likely here
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
About 138.9 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 Blockchain size up this way
Working from about 500,000 visits a month and roughly 4,000,000 requests a day, storage grows by roughly 600 GB a month at this size, which usually decides the build before CPU does; and about 256 GB of data needs to stay in memory to keep queries fast.
- 138.9 req/sec at peak
- 256 GB working set
- 600 GB/month growth
- Linux
Which tiers suit Blockchain
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. |
Blockchain workloads you can host
A node syncs the entire chain and then never stops growing, so disk is the planning constraint rather than CPU.
- Full nodes
- RPC endpoints
- Indexers
- Wallet services
- Chain data archive
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.
Blockchain 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.
Technology & Software is one of the sectors San Francisco is known for, so this is a workload we are asked about here more than most.
The closest of our 24 data centres to San Francisco is Santa Clara, about 39 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.
San Francisco has a population of about 827,526, which is why the large build above is the one most likely to fit a Blockchain 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.
Blockchain hosting in San Francisco — FAQs
What size server does a Blockchain business in San Francisco, CA need?
Where would the server for my San Francisco, CA business actually run?
Is a VPS enough for Blockchain, or do we need a dedicated server?
Can you host full nodes for us?
Can we start smaller and grow?
Other industries in San Francisco
Same city, different workload.
Blockchain hosting nearby
The same workload, in the nearest cities.