# GPU cloud Asia guide: Japan, Singapore, Korea and nearby URL: https://cloudj.net/blog/gpu-cloud-asia-guide Published: 2026-11-12 ยท Updated: 2026-11-12 > A practical GPU cloud Asia guide: which country codes to search for East and Southeast Asian users, a fallback order, and how to pair a GPU with a VPS. Renting GPU cloud Asia capacity is less about picking a data centre and more about searching well. Cloudj GPUs come from a live inventory of independent host machines in many countries, and you choose a location by filtering that list by country. This guide shows which country codes to try for East Asian and Southeast Asian audiences, what to do when a search comes back empty, and how to put a stable Asian VPS in front of a GPU that may change from one week to the next. If you have not read it yet, the [GPU cloud by location guide](https://cloudj.net/blog/gpu-cloud-by-location-guide) explains the general method for every region. This article applies it to Asia. ## How location works for GPU cloud Asia searches Open the [GPU deploy page in the console](https://app.cloudj.net/deploy/gpu) and look for the **Country** field. It takes two-letter country codes, and you can enter several at once, separated by commas or spaces, for example `JP, KR` or `SG HK TW`. The results list then shows only machines whose host is in one of those countries. Each machine in the results shows: - the GPU model and count (1x, 2x, 4x or 8x, all in the same machine), with VRAM, vCPU and RAM; - the **country**, and nothing finer: there is no city or data-centre name for GPU hosts; - a **reliability** percentage and a **max duration** in days, which tells you how long you can keep that machine; - a **Datacenter** badge when the host sits in a data centre, plus a "Datacenter only" switch to show only those; - the storage price per GB-month and the bandwidth price per TB, download and upload. Results are sorted by total price, lowest first, and the list shows up to 50 machines. Which models appear in which country changes during the day, so treat every search as a snapshot rather than a promise. For a field-by-field walkthrough, see [how to filter GPUs by country in the console](https://cloudj.net/blog/filter-gpu-by-country-console). ## East Asia vs Southeast Asia: which codes to try Asia is not one latency zone. A user in Seoul and a user in Jakarta are far apart, and the right search depends on where your users or your data sit. | Your users or data | Codes to start with | Codes to add next | |---|---|---| | Japan | `JP` | `KR`, `TW`, `HK` | | South Korea | `KR` | `JP`, `TW` | | Taiwan, Hong Kong, south China coast | `TW`, `HK` | `JP`, `SG` | | Vietnam, Thailand, Malaysia, Indonesia, Philippines | `SG` | `HK`, `TH`, `TW`, `JP` | | Mixed Asia-Pacific audience | `SG, HK, JP` | `KR`, `TW` | Two notes for Southeast Asia. First, Singapore is the usual first search because it is a regional network hub; our [GPU server Singapore guide](https://cloudj.net/blog/gpu-server-singapore) covers that case in depth. Second, Cloudj has no own data centre in Vietnam. You can try `VN` in the Country filter, but machines in Vietnam are not guaranteed to be listed, so plan on `SG`, `HK` and other nearby codes as the normal choice. For Japan specifically, the [rent a GPU in Japan](https://cloudj.net/blog/rent-gpu-japan) article goes through the `JP` search and its fallbacks. ## A fallback order when a country shows no machines An empty result is common when you combine a specific model, a specific country and strict filters. Work through this order instead of giving up: 1. **Add neighbouring codes.** Turn `JP` into `JP, KR, TW`. For most interactive apps, a host one country away is still close. 2. **Loosen the filters.** Lower the minimum reliability a little, raise the maximum price per hour, or remove the bandwidth price cap. Each filter removes machines. 3. **Switch off "Datacenter only"** if you turned it on, after deciding whether you really need it for this job. 4. **Change the model.** If an [RTX 4090](https://cloudj.net/gpu-cloud/rtx-4090) is not listed, look at a card with similar VRAM. The [GPU cloud page](https://cloudj.net/gpu-cloud) lists every model with its live "from" price and stock. 5. **Accept a farther host for batch work.** Training, embedding jobs and offline rendering do not care where the GPU is. Clear the Country field and sort by price. Then search again later. Stock changes during the day, so a country that was empty in the morning may show machines in the afternoon. ## Reading an Asian result before you deploy Once machines are listed, compare more than the hourly price: - **Max duration.** A machine available for only a few days is fine for a test, not for a month-long service. Each machine also shows an "available until" date; when it comes, the instance and its disk are removed. - **Reliability.** Higher is better for a public endpoint. For a short experiment, it matters less. - **Bandwidth price.** If your app returns large files (images, audio, video), the per-TB download and upload prices can matter as much as the GPU price. - **Download speed.** Pulling a large model or Docker image is quicker on a host with a fast link. The price shown at deploy is locked for that instance, and billing is per minute from your prepaid balance. Running cost is GPU plus disk; stopped cost is storage only. ## Pair the GPU with an Asian VPS front end GPU hosts are independent machines with no hardware SLA. The console says it plainly: keep backups of important data. That is why most production setups put a stable VPS in front. The VPS holds what must not move: your domain, TLS certificate, API gateway, queue and database. The GPU instance only runs the model and talks to the VPS over SSH tunnels or an authenticated API. If you replace the GPU machine, you change one address on the VPS and your users never notice. Cloudj VPS locations in Asia are: - [Singapore](https://cloudj.net/cloud-servers/singapore), the default for Southeast Asian traffic; - [Tokyo, Japan](https://cloudj.net/cloud-servers/japan), for Japanese and Korean users; - [Hong Kong](https://cloudj.net/cloud-servers/hong-kong), between the two and close to the south China coast. Put the VPS near your users and the GPU as close to the VPS as stock allows. The [Asia VPS guide](https://cloudj.net/blog/asia-vps-guide) compares those three locations in more detail. ## When Cloudj is not the right fit Be honest about requirements before you commit. If your project must run on one guaranteed machine inside one specific country, with an SLA and automatic failover, a live inventory of independent hosts is the wrong tool. The same applies if you need a city-level location for a contract. Cloudj works well when you can choose by country, keep state on a VPS or in backups, and redeploy when a machine ends. ## FAQ ### Can I search several Asian countries at once? Yes. Enter several codes in the Country field, separated by commas or spaces, for example `SG, HK, JP`. The results include machines from any of them, sorted by total price. ### Does Cloudj have GPUs in Vietnam? Cloudj has no own data centre in Vietnam. You can try `VN` in the filter, but machines there are not guaranteed to appear. `SG` and `HK` are the usual alternatives. ### Will I know the city of a GPU host? No. GPU locations are shown at country level only. City names apply only to Cloudj VPS locations. ### What if my chosen model is not listed in Asia today? Add neighbouring codes, loosen filters, try a model with similar VRAM, or search again later. For jobs that are not latency-sensitive, clear the Country field and take the lowest price anywhere. ## Start your Asia search Open the [GPU deploy page](https://app.cloudj.net/deploy/gpu), enter the codes from the table above and see what is listed right now. You can check live "from" prices for every model on [GPU cloud](https://cloudj.net/gpu-cloud) before you sign in.