The RTX 5090 brings 32 GB of VRAM to a consumer card, which makes it attractive for larger quantized language models, high-resolution image and video generation, and heavier LoRA training. If your users or team are in Asia, you probably want the card nearby. Finding an RTX 5090 cloud Asia machine on Cloudj means choosing the RTX 5090 model in the console and filtering the live list of hosts by Asian country codes. This article explains which codes to use, what to do if you see the RTX 5090 D listed as well, and when a host in the United States is the more sensible choice.
What the RTX 5090 is good for
The RTX 5090 has 32 GB of VRAM. Compared with a 24 GB card, the extra memory helps when:
- A quantized model is just too large for 24 GB, or you want a longer context.
- You run image or video models at higher resolutions or batch sizes.
- You train LoRAs with larger batches or bigger base models.
It is a consumer card, available at the starting account level. The model page shows its specifications and the live "from" price; prices for every model are on GPU cloud.
Search Asian codes in the right order
Open the deploy page with the RTX 5090 preselected and use the Country field. Start with where your users are, then widen:
- Users in Japan:
JP, thenJP, KR, TW. - Users in Korea:
KR, thenKR, JP. - Users in Taiwan, Hong Kong or southern China:
TW, HK, then addJP. - Users in Southeast Asia, including Vietnam:
SG, HK, then addTWandJP. - Mixed Asian audience:
JP, KR, TW, SG, HKin one search.
If a machine is listed, check reliability, max duration, download speed and bandwidth price, then deploy. Stock changes during the day, so an empty result is a reason to try again later or widen the list, not to give up. The GPU cloud Asia guide explains each code, and Singapore vs Japan vs Korea GPU servers helps when you are torn between the three.
The RTX 5090 D: how to treat it
You may see a second model, the RTX 5090 D, on Cloudj. It is a regional variant of the RTX 5090, also with 32 GB of VRAM, and it has its own model page and its own entry in the console. A few practical points:
- Search it separately. Because it is a separate model, a search with the RTX 5090 selected does not show RTX 5090 D machines. If you are flexible, run the same country search for both.
- Compare on specs, not on the name. Open both model pages and compare what is printed there. Do not assume the two are identical for every workload.
- Test your own workload. If you are serving a model or training a LoRA, run a short real job on a 5090 D before committing to a long rental. Billing is per minute, so a short test costs little.
- Same rules apply. Same templates, same SSH access, same per-minute billing, same end date and no hardware SLA.
For most people the right move is simple: if your country search returns nothing for the RTX 5090 but lists an RTX 5090 D, test it with your own job and decide on the result.
When a US host is the better choice
Location only matters when someone is waiting for each response. For many RTX 5090 jobs, nobody is:
| Job | Does Asia matter? | Suggested search |
|---|---|---|
| Live chatbot or image tool for Asian users | Yes | Asian codes first |
| Interactive work in ComfyUI or Jupyter from Asia | Somewhat | Asian codes, accept a farther host if needed |
| LoRA or fine-tune that runs for hours | No | Broad, or US |
| Batch rendering, transcription, embeddings | No | Broad, or US |
For batch work, you upload data once, the job runs, and you download results. The distance adds a little to transfer time, not to the job. If no suitable RTX 5090 is listed in Asia, RTX 5090 cloud in the USA covers the US search. Watch bandwidth prices on each machine if you move large datasets across the Pacific.
Interactive work from Asia
If you work interactively, for example in ComfyUI, forward the port over SSH rather than exposing it:
ssh -p PORT -L 8188:localhost:8188 root@HOSTThen open localhost:8188 in your browser. A host in JP, KR or SG feels more responsive for this than one across the Pacific, but both work. Install ComfyUI or other tools yourself over SSH; Cloudj provides Ubuntu + CUDA, PyTorch + JupyterLab and custom image templates, not ready-made application templates.
RTX 5090 or RTX 4090?
If 24 GB is enough for your model, an RTX 4090 may be listed in your preferred country when no 5090 is, so search it too. Renting an RTX 4090 in Japan covers that card. Pick the 5090 when the extra VRAM changes what you can run, not just because it is newer.
FAQ
Can I rent an RTX 5090 in Tokyo or Seoul?
You cannot choose a city. Search JP or KR; if a machine is listed, it is in that country.
Is the RTX 5090 D the same as the RTX 5090?
It is a regional variant with 32 GB of VRAM and its own model page. Compare the specs on both pages and test your workload before a long rental.
What if no RTX 5090 is listed in Asia?
Search the RTX 5090 D, widen your codes, try later, or use a US host for batch work.
Do I need a higher account level for the RTX 5090?
No. It is a consumer card, available at the starting level.
Next step
Open the RTX 5090 deploy page, enter JP, KR, TW, SG, HK and see what is listed now. If nothing fits, repeat the search for the RTX 5090 D.