Berkeley, United States
Server infrastructure for Algorithmic Trading in Berkeley
Sizing infrastructure for Algorithmic Trading starts with the workload, then works back to cores, memory and disk. For a medium Algorithmic Trading business in Berkeley that is about 8 Cores, 128 GB of memory and 3000 GB of storage on Dedicated Server.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Berkeley. 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 Algorithmic Trading
1–10 people · ~5,000 visits a month
$533.65 USD USD
per month · VDS
- 4 Cores
- 48 GB RAM
- 1000 GB storage
- GPU on request
About 0.1 requests a second at peak, holding roughly 33.6 GB of working data.
Configure this build →Medium Algorithmic Trading Most likely here
11–50 people · ~50,000 visits a month
$1,411.15 USD USD
per month · Dedicated Server
- 8 Cores
- 128 GB RAM
- 3000 GB storage
- Managed
- GPU on request
About 0.6 requests a second at peak, holding roughly 96 GB of working data.
Configure this build →Large Algorithmic Trading
51+ people · ~500,000 visits a month
$4,063.90 USD USD
per month · Bare Metal
- 28 Cores
- 448 GB RAM
- 4000 GB storage
- Managed
- GPU on request
About 6.2 requests a second at peak, holding roughly 384 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 Algorithmic Trading size up this way
Working from about 50,000 visits a month and roughly 26,667 requests a day, storage grows by roughly 200 GB a month at this size, which usually decides the build before CPU does; about 96 GB of data needs to stay in memory to keep queries fast; and each request costs real computation rather than a cache lookup, so cores matter more here than on a typical site.
- 0.6 req/sec at peak
- 96 GB working set
- 200 GB/month growth
- Linux
Which tiers suit Algorithmic Trading
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. |
Algorithmic Trading workloads you can host
Backtesting is heavy batch compute over years of tick data, while live execution wants an uncontended core doing nothing else.
- Strategy execution
- Backtesting over historical data
- Tick data storage
- Risk limits
- Co-located connectivity
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Berkeley is closest to Santa Clara. Every marker costs the same per month.
Show all 24 locations and distances from Berkeley ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Santa Clara, United States | 40 miles | 1–2 ms |
| Los Angeles, United States | 347 miles | 8–17 ms |
| Seattle, United States | 673 miles | 16–32 ms |
| Dallas, United States | 1,474 miles | 36–71 ms |
| Chicago, United States | 1,845 miles | 45–89 ms |
| Atlanta, United States | 2,127 miles | 51–103 ms |
| Toronto, Canada | 2,254 miles | 54–109 ms |
| New York, United States | 2,556 miles | 62–123 ms |
| Miami, United States | 2,584 miles | 62–125 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 5,145 miles | 124–248 ms |
| Hong Kong, China | 6,897 miles | 166–333 ms |
| Sydney, Australia | 7,434 miles | 179–359 ms |
| Delhi NCR, India | 7,675 miles | 185–371 ms |
| Kolkata, India | 7,811 miles | 189–377 ms |
| Mumbai, India | 8,381 miles | 202–405 ms |
| Singapore | 8,443 miles | 204–408 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 5,344 miles | 129–258 ms |
| Stockholm, Sweden | 5,348 miles | 129–258 ms |
| Amsterdam, The Netherlands | 5,442 miles | 131–263 ms |
| Frankfurt, Germany | 5,665 miles | 137–274 ms |
| Madrid, Spain | 5,780 miles | 140–279 ms |
| Milan, Italy | 5,937 miles | 143–287 ms |
| Bucharest, Romania | 6,418 miles | 155–310 ms |
| Tel Aviv, Israel | 7,382 miles | 178–356 ms |
Distances are from Berkeley. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Algorithmic Trading in Berkeley
The closest of our 24 data centres to Berkeley is Santa Clara, about 40 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.
Berkeley has a population of about 120,972, which is why the medium build above is the one most likely to fit a Algorithmic Trading 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 Berkeley
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Berkeley | Estimated round trip |
|---|---|---|
| Santa Claraamericas | 40 miles | 1–2 ms |
| Los Angelesamericas | 347 miles | 8–17 ms |
| Seattleamericas | 673 miles | 16–32 ms |
Berkeley 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 medium size assumed above, that is roughly 26,667 requests a day crossing that link.
Algorithmic Trading hosting in Berkeley — FAQs
What size server does a Algorithmic Trading business in Berkeley, CA need?
Where would the server for my Berkeley, CA business actually run?
Is a VPS enough for Algorithmic Trading, or do we need a dedicated server?
Can you host strategy execution for us?
Can we start smaller and grow?
Other industries in Berkeley
Same city, different workload.