SynpixCloud is an active GPU cloud, headquarters listed as China, billed per hour, paid by credit card. We do not have a founding year. The scraped catalogue mixes consumer GeForce cards (1080 Ti, 2080 Ti, 3080, 3090, 4090, 5090) with datacenter parts (A30, A40, A100 SXM, A800, H100 SXM). That spread is the useful fact: one account covers both a 4090 render box and an H100.
Why SynpixCloud stands out
The old profile said there was no GPU inventory and no platform features. The data card now says otherwise. API, Docker, Jupyter, persistent storage, multi-GPU, and reserved instances are set. Kubernetes, spot, and SOC 2 are not.
Prices belong on the table, not in this write-up. Billing is per hour, so a row is an hourly rate.
Pros
- Both consumer GeForce and datacenter NVIDIA cards in the published catalogue
- Per-hour billing, credit card
- API, Docker, Jupyter, persistent storage, and multi-GPU recorded
- Reserved instances listed for steady work
Cons
- No Kubernetes and no spot instances in our data
- Not marked SOC 2 compliant
- Headquarters is recorded only as China, with no founding year
- A mixed consumer-and-datacenter fleet needs a careful read of each row. A 1080 Ti and an H100 are not substitutes
Getting started
- Open SynpixCloud and pick the card that matches the job, not just the lowest row.
- Create an account and pay by credit card.
- Use Jupyter or Docker if that is your workflow. Both are recorded. Kubernetes is not.
- Check reserved pricing if the machine will stay up. There is no spot flag.
Best for: People who want one hourly cloud that lists both GeForce cards and H100-class parts, with Jupyter and Docker, and who do not need Kubernetes or a SOC 2 letter.