# Singapore vs Japan GPU server, or Korea: which suits your users?

URL: https://cloudj.net/blog/singapore-vs-japan-vs-korea-gpu
Published: 2026-11-12 · Updated: 2026-11-12

> Singapore vs Japan GPU server, plus Korea: compare the three by audience, understand the availability caveat, test the network yourself and pair with a VPS.

For an Asian product, the shortlist for a GPU usually comes down to three countries: Singapore, Japan and South Korea. The Singapore vs Japan GPU server question, with Korea as the third option, does not have one right answer; it depends on where your users are, what the GPU does, and what is listed on the day you deploy. This comparison gives you a decision table by audience, an honest note on availability, a test method you can run in an afternoon, and how to pair the GPU with a stable VPS.

## The short answer by audience

| Your main users | First search | Second search | VPS front end |
|---|---|---|---|
| Vietnam, Thailand, Malaysia, Indonesia, Philippines | `SG` | `SG, HK`, then `JP` | Singapore |
| Japan | `JP` | `JP, KR` | Tokyo |
| South Korea | `KR` | `KR, JP` | Tokyo |
| Mixed Japan and Korea | `JP, KR` | add `TW`, `HK` | Tokyo |
| All of Asia, evenly | `SG, JP, KR` | add `HK`, `TW` | Singapore or Tokyo, measured |
| Nobody waits (batch jobs) | Leave empty | | Not needed |

The logic is distance: a host near most of your users shortens every round trip for interactive work such as chat, voice or image tools. For batch jobs it hardly matters. The [GPU cloud Asia guide](https://cloudj.net/blog/gpu-cloud-asia-guide) covers the wider set of Asian country codes if you need more than these three.

## How the three compare in practice

### Singapore

Singapore is the usual network hub for Southeast Asia, and many regional networks connect there. For users in Vietnam, Singapore and Hong Kong are the standard first searches, because Cloudj has no data centre in Vietnam; you can try `VN` in the Country field, but machines there are not guaranteed to be listed. [The Singapore GPU server guide](https://cloudj.net/blog/gpu-server-singapore) covers the `SG` search in detail.

### Japan

Japan suits Japanese users first, and is often reasonable for Korea and Taiwan too. It is also a common choice for teams building Japanese-language products. [Renting a GPU in Japan](https://cloudj.net/blog/rent-gpu-japan) covers the `JP` search and its fallbacks.

### South Korea

Korea suits Korean users, who often have very fast domestic connections and notice delay accordingly. Japan is the natural second search. [Renting a GPU in South Korea](https://cloudj.net/blog/rent-gpu-south-korea) covers the `KR` search.

## The availability caveat

Cloudj GPUs are a live list of independent host machines. Which models are listed in Singapore, Japan or Korea changes during the day, and Cloudj does not publish a list of which countries have which GPUs. In practice this means:

- Do not plan around one country always having your model. Search, and if a machine is listed, deploy it.
- Treat the "second search" column above as part of your plan, not an afterthought.
- If none of the three lists your model, try another card with similar VRAM, widen to `HK` and `TW`, or check again later.

Each result shows the machine's country, reliability, max duration, download speed and bandwidth price; location is shown at country level only, never a city.

## Test the network yourself

Rules of thumb are a starting point; your users' networks decide. A test you can run in an afternoon:

1. **Deploy one small instance in each candidate country** with the Ubuntu + CUDA template. Billing is per minute, so a short test costs little.
2. **From your users' locations**, or test machines on their ISPs, run:

```bash
mtr -rwc 50 HOST
```

Note the average round-trip time and any packet loss for each host.

3. **Time a real request.** Start your model server on each host and time a full response through an SSH tunnel:

```bash
ssh -p PORT -L 8000:localhost:8000 root@HOST
curl -w '%{time_total}\n' -o /dev/null -s http://localhost:8000/health
```

4. **Repeat at peak hours.** International links in some countries slow down in the evening.
5. **Destroy the hosts you do not keep.**

Remember that each host is a separate machine. A good result from one Japanese host does not describe all Japanese hosts, so repeat the test when you switch machines. [Measuring latency to a GPU host](https://cloudj.net/blog/measure-latency-to-gpu-host) explains the tools in more depth.

## Pair the GPU with a VPS

A GPU host has no hardware SLA and an "available until" end date, so keep your public endpoint on a Cloudj VPS:

- **[Singapore VPS](https://cloudj.net/cloud-servers/singapore)** for Southeast Asian audiences.
- **[Tokyo VPS](https://cloudj.net/cloud-servers/japan)** for Japan and Korea. Cloudj has no VPS in Korea, so Tokyo is the nearest front end for Korean users.

The VPS holds the domain, TLS, API, auth and queue, and talks to the GPU over an SSH tunnel. If you switch the GPU from `SG` to `JP` because stock changed, users never notice. Comparing VPS locations is its own topic, covered in [Singapore vs Hong Kong vs Tokyo VPS](https://cloudj.net/blog/singapore-vs-hong-kong-vs-tokyo-vps).

## Price is not a location rule

Prices differ by machine, not by a fixed country rate, and they change through the day. Do not choose a country because you expect it to be cheaper. Search your candidate codes, compare the totals the console shows, and remember that the console sorts by price within whatever countries you entered. Live "from" prices per model are on [GPU cloud](https://cloudj.net/gpu-cloud).

## FAQ

### Is Singapore always best for users in Vietnam?

It is the usual first search, along with Hong Kong. Measure from your users' ISPs; results vary.

### Is there a Cloudj VPS in Korea?

No. Use the Tokyo VPS as the front end for Korean users.

### Can I choose Tokyo or Seoul for the GPU itself?

No. GPU machines show the country only.

### What if none of the three countries lists my GPU?

Add `HK` and `TW`, try a card with similar VRAM, or check again later.

## Next step

Open the [GPU deploy page](https://app.cloudj.net/deploy/gpu), search `SG, JP, KR` for your model, and run the network test above on the two best candidates.