The cheapest GPU near Vietnam is not a fixed product you can bookmark. On Cloudj, GPUs come from a live list of independent host machines, prices move every few minutes, and the console sorts every search by total price, lowest first. Finding a low price is therefore a method, not a lookup: choose which countries count as "near", sort, and then compare what a whole job will cost rather than the headline hourly rate.
This article is cost-first. It does not claim that Cloudj is the cheapest option anywhere; it shows you how to find the lowest live price that fits your job. For the wider regional picture, see the GPU cloud Asia guide.
Step 1: decide whether "near" matters for this job
Before you add any country code, ask whether the job is interactive.
- Interactive (a chatbot, an image tool your customers use, a voice demo): distance to users affects every request. Keep the search to nearby countries.
- Not interactive (training a LoRA, transcribing an archive, rendering frames overnight): distance barely matters. A host on another continent with a lower price is usually the better deal.
This trade-off has its own article, GPU near users vs the cheapest GPU. If your job is batch work, skip to step 2 with the Country field empty.
Step 2: search for the cheapest GPU near Vietnam
Open the deploy page with a starter card preselected, for example the RTX 3060 deploy link, and enter a set of nearby codes in the Country field:
VN, SG, HK, TH, JPYou can separate codes with commas or spaces. A few notes on this list:
VN: Cloudj has no own data centre in Vietnam, and machines in Vietnam are not guaranteed to be listed. Keep it in the search, but do not count on it.SGandHK: the usual choices for Vietnamese users.TH: worth adding for mainland Southeast Asia.JP: farther, but it widens the pool when the others are thin.
The results are sorted by total price, lowest first, up to 50 machines. Stock changes during the day, so the cheapest machine at 9:00 may be gone by noon and a new one may appear in the evening.
Step 3: pick the smallest card that does the job
The simplest way to save money is not to rent more GPU than you need. A rough guide for common jobs:
| Card | VRAM | Typical fit |
|---|---|---|
| RTX 3060 | 12 GB | Learning, small models, Stable Diffusion 1.5 class work, quantized 7B-8B language models |
| RTX 3090 | 24 GB | SDXL, LoRA training, quantized mid-size models |
| RTX 4090 | 24 GB | Same VRAM as the 3090 with a newer architecture, for heavier interactive work |
These are general guidelines, not benchmarks; your model, batch size and precision decide the real fit. Each model page shows a live "from" price and whether it is in stock. A newer card can finish sooner, so a higher hourly price does not always mean a higher job cost.
Step 4: compare total cost, not the hourly rate
Two machines with the same GPU price can produce very different bills. A job's cost on Cloudj is made of:
- GPU time, billed per minute while the instance runs.
- Disk, included in the running price and still charged as storage while the instance is stopped.
- Bandwidth, charged per GB downloaded and uploaded at the machine's own price per TB.
So check each candidate's storage price per GB-month and its download and upload prices per TB. If your job pulls a large model, uploads a dataset and downloads thousands of images, bandwidth can outweigh a small difference in GPU price. Also set the disk size in the search to what you will actually use, because the disk cannot be resized later and a larger disk raises the total. The GPU cost estimation guide walks through a full calculation.
Remember the deposit too. Deploying holds a deposit from your balance (roughly an hour of GPU, some hours of storage and a bandwidth reserve). The unused part returns after you destroy the instance, though it can stay held for up to 72 hours while final bandwidth charges settle. Top up enough to cover it; Vietnamese customers can top up by bank transfer in VND.
Step 5: stop paying when you are done
Most overspending comes from instances left running.
- Destroy when the job is finished and your outputs are copied off. Charges stop and the disk is deleted.
- Stop only if you need the disk again soon. It still costs storage, and it releases the GPU, so starting again may wait until that GPU is free.
Copy results to your own machine with rsync before you destroy:
rsync -avP -e "ssh -p <port>" root@<host>:/workspace/outputs/ ./outputs/When a far, cheaper host is the right call
If the job is batch work, clear the Country field and sort the whole list by price. You will upload inputs once and download outputs once, so a few extra round trips do not matter. Check the bandwidth price, the max duration (long enough for the job) and the reliability, then run it. For an interactive service you can still save money by keeping the API on a VPS in Singapore and renting the GPU only during working hours.
If you host a small site or bot for Vietnamese users alongside the GPU, the best VPS for Vietnam guide explains which nearby VPS locations fit.
FAQ
Is Cloudj the cheapest GPU option for Vietnam?
We do not claim that. Prices change constantly. The console sorts live listings by total price so you can find the lowest price available at that moment.
Can I pay in VND?
You top up your USD balance by bank transfer in VND. GPU usage is then billed per minute from that balance.
Why did the cheapest machine disappear?
Each listing is an independent machine, and someone else may have rented it. Search again or add more country codes.
Is a cheaper GPU in Europe a good idea for me?
For training or batch jobs, often yes. For an app that Vietnamese users interact with, the extra distance usually makes a nearby host worth the difference.
Find today's lowest price
Open the RTX 3060 deploy page, enter VN, SG, HK, TH, JP and let the console sort by price. You can also compare live "from" prices for every model on GPU cloud.