Teams who search for A100 cloud Singapore Japan options usually want a proven datacenter GPU for fine-tuning or serving mid-size models, placed somewhere in Asia so that data uploads and interactive tests do not cross an ocean. This article covers how to search for A100s across Singapore, Japan, Korea and Hong Kong on Cloudj, what the listed A100 variants are, which in-region cards make sense when no A100 is listed, and how to move data from Vietnam efficiently.
For the regional overview, see the GPU cloud Asia guide.
The A100 variants on the list
Cloudj lists two A100 models, both in the 40 GB version:
- A100 PCIe: a standard PCIe card, the lower-power option.
- A100 SXM4: the module form factor with a higher power budget, often found in multi-GPU servers.
Both are Ampere-generation datacenter cards. Their model pages show the specs and the live "from" price. Like all datacenter GPUs, A100s need a higher account level; if the console says the GPU class is not available at your level, contact support from the console.
What A100s are good for:
- fine-tuning models in the 7B to 13B range with room for larger batches than consumer cards allow;
- serving quantized models that fit in 40 GB, with mature software support;
- multi-GPU jobs when a host lists 2×, 4× or 8× in one machine.
If you need 80 GB on one card, look at the H100 instead; the H100 cloud in Asia article covers that search.
Searching across Asian countries
GPU location is a country filter over a live list of host machines. Open the A100 deploy page and type several codes into the Country field:
SG, JP, KR, HKThen check the other variant by switching the model to A100 SXM4 with the same codes. Results show each machine's country (never a city), GPU count, vCPU, RAM, download speed, reliability, max duration, bandwidth price per TB and a Datacenter badge where relevant. They are sorted by total price.
If an A100 is listed, you can deploy it. Stock changes during the day; an empty search now may not be empty later. Do not assume one of these countries "always" has A100s.
Which code to prefer depends on the job:
| Your need | Codes to start with |
|---|---|
| Interactive tests from Vietnam or Southeast Asia | SG, HK |
| Users or partners in Japan or Korea | JP, KR |
| Batch fine-tuning, no location need | SG, JP, KR, HK, then remove the filter |
When no A100 is listed: in-region alternatives
If the A100 search comes back empty, keep your country codes and search by VRAM instead. Clear the model and set a minimum of 40 GB. Two 48 GB class cards are worth knowing:
- L40S: an Ada-generation datacenter card, 48 GB class. Strong for inference, image and video generation; a reasonable fine-tuning option for models that fit.
- RTX 6000 Ada: a 48 GB workstation card, similar generation, good for inference and rendering as well as moderate training.
Both have more VRAM than the 40 GB A100s on the list. The A100 tends to be chosen for its mature training stack and multi-GPU servers; the Ada cards for newer architecture features and inference. The L40S vs A100 vs RTX 6000 Ada comparison goes through which one fits which job.
If you need the A100 specifically and Asia has none listed, widening to all countries is fine for batch training.
Moving data from Vietnam
For many Vietnamese teams, the slowest part of an A100 job is not the GPU but getting data onto it. A few habits make a big difference:
- Download on the host, not from your laptop. Base models and public datasets should be pulled directly from their source on the instance. That avoids sending gigabytes over a Vietnamese uplink.
- Compress before upload. Pack many small files into one archive. Thousands of images upload far more efficiently as one
tarfile. - Use resumable transfers.
rsyncpicks up where it left off if the connection drops:
tar -czf dataset.tar.gz dataset/
rsync -avP -e "ssh -p <port>" dataset.tar.gz root@<host>:/workspace/- Watch bandwidth charges. Each machine lists a bandwidth price per TB for download and upload, charged per GB. Compare it when you move large datasets.
The full guide to moving models and data between GPU regions covers checksums, parallel transfers and getting results back.
Before you deploy
- Check the "available until" date against your job length; when it passes, the instance and disk are removed.
- Choose disk size for dataset, weights and checkpoints; it cannot be resized later.
- Plan to copy checkpoints off the instance: each machine is an independent host with no hardware SLA.
- Access is SSH key only; the Connection tab shows the host, port and full command.
FAQ
Does Cloudj have A100s in Singapore or Japan?
Stock changes during the day. Set the Country to SG, JP, KR, HK with an A100 selected; if a machine is listed, you can deploy it.
Why is the A100 listed as 40 GB?
The A100 PCIe and SXM4 models on the list are the 40 GB version. If you need more memory on one card, consider 48 GB class cards or the H100.
Can a new account rent an A100?
Usually not immediately. Datacenter GPUs need a higher account level; the console tells you and you can contact support there.
Is Hong Kong or Singapore better from Vietnam?
It depends on your ISP and time of day. Test both with ping and mtr from your network.
Search for an A100 in Asia
Open the A100 deploy page, set the Country to SG, JP, KR, HK and check both variants. All live prices are on GPU cloud.