Raffles Place, Singapore
Server infrastructure for Technology Companies in Raffles Place
The right server for Technology Companies is decided by the work it has to do, not by the size of the plan you happen to land on. For a large Technology & Software business in Raffles Place 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 Raffles Place. 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 Technology & Software
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 Technology & Software
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 Technology & Software 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 Technology 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. |
Technology Companies workloads you can host
- Application servers
- CI/CD pipelines
- Container registries
- Staging environments
- Internal tooling
- Databases
Technology & Software in Raffles Place, 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 |
|---|---|---|---|
| IT Services | 8 vCPU · 64 GB · 700 GB | VDS | An MSP runs its tooling for other people's networks, so the box matters most when everyone's systems break at... |
| Software Development | 16 vCPU · 96 GB · 1500 GB | Dedicated Server | Build agents are the spike: idle most of the day, then every core saturated the moment a branch merges. |
| AI & Machine Learning | 20 vCPU · 320 GB · 4000 GB | Bare Metal | Training saturates hardware for hours at a time and inference wants it available instantly — two opposite dema... |
| DevOps | 12 vCPU · 96 GB · 4000 GB | Dedicated Server | Observability is the quiet capacity problem here: logs and metrics grow whether or not the product does. |
| Business Applications, ERP & CRM | 16 vCPU · 196 GB · 1500 GB | Dedicated Server | A business-wide system is judged on how fast a report runs at month end, which is a memory question long befor... |
| Cybersecurity | 16 vCPU · 256 GB · 4000 GB | Dedicated Server | Retention is the constraint: keeping a year of logs searchable is a storage and indexing problem that never st... |
| Data & Analytics | 28 vCPU · 448 GB · 4000 GB | Bare Metal | Warehouse queries scan far more data than they return, so memory bandwidth decides whether a dashboard loads i... |
| API Platforms | 20 vCPU · 96 GB · 700 GB | Dedicated Server | An API is measured in requests per second rather than page views, and the failure mode is a noisy client rathe... |
| Mobile App Development | 24 vCPU · 96 GB · 700 GB | Dedicated Server | A push campaign is the load test you did not schedule: a million devices wake and call home inside a minute. |
| Blockchain | 20 vCPU · 320 GB · 4000 GB | Bare Metal | A node syncs the entire chain and then never stops growing, so disk is the planning constraint rather than CPU... |
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Raffles Place has a data centre of its own. Every marker costs the same per month.
Show all 24 locations and distances from Raffles Place ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Singapore | Same city | 1–2 ms |
| Hong Kong, China | 1,610 miles | 39–78 ms |
| Kolkata, India | 1,801 miles | 43–87 ms |
| Mumbai, India | 2,430 miles | 59–117 ms |
| Delhi NCR, India | 2,567 miles | 62–124 ms |
| Tokyo, Japan | 3,302 miles | 80–159 ms |
| Sydney, Australia | 3,914 miles | 94–189 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 4,952 miles | 120–239 ms |
| Bucharest, Romania | 5,553 miles | 134–268 ms |
| Stockholm, Sweden | 5,994 miles | 145–289 ms |
| Frankfurt, Germany | 6,379 miles | 154–308 ms |
| Milan, Italy | 6,381 miles | 154–308 ms |
| Amsterdam, The Netherlands | 6,524 miles | 157–315 ms |
| London, United Kingdom | 6,746 miles | 163–326 ms |
| Madrid, Spain | 7,076 miles | 171–342 ms |
| Americas · 9 locations | ||
| Seattle, United States | 8,067 miles | 195–389 ms |
| Santa Clara, United States | 8,478 miles | 205–409 ms |
| Los Angeles, United States | 8,776 miles | 212–424 ms |
| Toronto, Canada | 9,325 miles | 225–450 ms |
| Chicago, United States | 9,369 miles | 226–452 ms |
| New York, United States | 9,532 miles | 230–460 ms |
| Dallas, United States | 9,725 miles | 235–470 ms |
| Atlanta, United States | 9,958 miles | 240–481 ms |
| Miami, United States | 10,549 miles | 255–509 ms |
Distances are from Raffles Place. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Technology Companies in Raffles Place
The closest of our 24 data centres to Raffles Place is Singapore, about 5 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Raffles Place has a population of about 5,638,700, which is why the large build above is the one most likely to fit a Technology & Software business here — though the other two are a click away if it does not. Local time is Asia/Singapore, 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 the PDPA. Pricing is quoted in SGD, and the figure is the same wherever the machine physically sits.
Network reach from Raffles Place
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Raffles Place | Estimated round trip |
|---|---|---|
| Singaporeapac | In your metro | 1–2 ms |
| Hong Kongapac | 1,610 miles | 39–78 ms |
| Kolkataapac | 1,801 miles | 43–87 ms |
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.
Technology Companies hosting in Raffles Place — FAQs
What size server does a Technology & Software business in Raffles Place, Singapore need?
Where would the server for my Raffles Place, Singapore business actually run?
Is a VPS enough for Technology Companies, or do we need a dedicated server?
Can you host application servers for us?
Can we start smaller and grow?
Other industries in Raffles Place
Same city, different workload.
Technology Companies hosting nearby
The same workload, in the nearest cities.