Melbourne, United States
Server infrastructure for Genomics in Melbourne
Sizing infrastructure for Genomics starts with the workload, then works back to cores, memory and disk. For a medium Genomics business in Melbourne that is about 16 Cores, 196 GB of memory and 4000 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 Melbourne. 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 Genomics
1–10 people · ~5,000 visits a month
$803.65 USD USD
per month · VDS
- 4 Cores
- 48 GB RAM
- 3000 GB storage
- GPU on request
About 0.1 requests a second at peak, holding roughly 44.8 GB of working data.
Configure this build →Medium Genomics Most likely here
11–50 people · ~50,000 visits a month
$2,140.15 USD USD
per month · Dedicated Server
- 16 Cores
- 196 GB RAM
- 4000 GB storage
- Managed
- GPU on request
About 0.5 requests a second at peak, holding roughly 128 GB of working data.
Configure this build →Large Genomics
51+ people · ~500,000 visits a month
$4,549.90 USD USD
per month · Bare Metal
- 32 Cores
- 512 GB RAM
- 4000 GB storage
- Managed
- GPU on request
About 4.6 requests a second at peak, holding roughly 512 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 Genomics size up this way
Working from about 50,000 visits a month and roughly 26,667 requests a day, storage grows by roughly 500 GB a month at this size, which usually decides the build before CPU does; about 128 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.
- 0.5 req/sec at peak
- 128 GB working set
- 500 GB/month growth
- Linux
Which tiers suit Genomics
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. |
Genomics workloads you can host
A single run produces enormous files and the pipeline is CPU-bound for hours — this is batch compute, not a web workload.
- Sequence alignment
- Variant calling pipelines
- Reference genome storage
- Batch job scheduling
- Results 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.
Melbourne is closest to Miami. Every marker costs the same per month.
Show all 24 locations and distances from Melbourne ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Miami, United States | 162 miles | 4–8 ms |
| Atlanta, United States | 451 miles | 11–22 ms |
| New York, United States | 950 miles | 23–46 ms |
| Dallas, United States | 1,016 miles | 25–49 ms |
| Chicago, United States | 1,032 miles | 25–50 ms |
| Toronto, Canada | 1,078 miles | 26–52 ms |
| Los Angeles, United States | 2,252 miles | 54–109 ms |
| Santa Clara, United States | 2,466 miles | 60–119 ms |
| Seattle, United States | 2,602 miles | 63–126 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 4,329 miles | 105–209 ms |
| Madrid, Spain | 4,338 miles | 105–209 ms |
| Amsterdam, The Netherlands | 4,524 miles | 109–218 ms |
| Frankfurt, Germany | 4,726 miles | 114–228 ms |
| Milan, Italy | 4,855 miles | 117–234 ms |
| Stockholm, Sweden | 4,858 miles | 117–235 ms |
| Bucharest, Romania | 5,629 miles | 136–272 ms |
| Tel Aviv, Israel | 6,498 miles | 157–314 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 7,310 miles | 176–353 ms |
| Delhi NCR, India | 8,263 miles | 199–399 ms |
| Mumbai, India | 8,728 miles | 211–421 ms |
| Hong Kong, China | 8,818 miles | 213–426 ms |
| Kolkata, India | 8,860 miles | 214–428 ms |
| Sydney, Australia | 9,373 miles | 226–453 ms |
| Singapore | 10,382 miles | 251–501 ms |
Distances are from Melbourne. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Genomics in Melbourne
The closest of our 24 data centres to Melbourne is Miami, about 162 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.
Melbourne has a population of about 84,678, which is why the medium build above is the one most likely to fit a Genomics 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 Melbourne
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Melbourne | Estimated round trip |
|---|---|---|
| Miamiamericas | 162 miles | 4–8 ms |
| Atlantaamericas | 451 miles | 11–22 ms |
| New Yorkamericas | 950 miles | 23–46 ms |
Melbourne sits in Florida, 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.
Genomics hosting in Melbourne — FAQs
What size server does a Genomics business in Melbourne, FL need?
Where would the server for my Melbourne, FL business actually run?
Is a VPS enough for Genomics, or do we need a dedicated server?
Can you host sequence alignment for us?
Can we start smaller and grow?
Other industries in Melbourne
Same city, different workload.
Genomics hosting nearby
The same workload, in the nearest cities.