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SynpixCloud

Active

Affordable GPU cloud for AI/ML workloads and rendering

synpixcloud.com · China · Verified: 2026-03-26
4
Overall
3
Ease of Use
3
Pricing
9
GPU Variety
1
Enterprise

GPU Pricing

GPU ModelVRAMSpot $/hrOn-demand $/hrTrendAvailable
GeForce RTX 2080 Ti11GB$0.21 In Stock
GeForce RTX 308010GB$0.21 In Stock
GeForce RTX 309024GB$0.3 In Stock
Tesla V100-32GB32GB$0.43 In Stock
GeForce RTX 409024GB$0.44 In Stock
NVIDIA A4048GB$0.58 Unavailable
RTX A500024GB$0.6 In Stock
RTX A600048GB$0.63 Unavailable
GeForce RTX 509032GB$0.72 In Stock
NVIDIA A100-40GB40GB$0.82 In Stock
NVIDIA A100-80GB HBM380GB$3.12 In Stock
NVIDIA A800-SX4-40GB80GB$1.32 In Stock
NVIDIA A100-SX4-40GB80GB$1.44 In Stock
NVIDIA H100 80GB HBM380GB$2.79 Unavailable
NVIDIA A800-SX4-80GB$3.39 Unavailable
NVIDIA A800-SX4-40GB$0.82 In Stock
NVIDIA A100-SX4-40GB$2.39 In Stock
NVIDIA H100 80GB HBM3$5.58 In Stock
NVIDIA A100-SX4-80GB$6.2 In Stock
GeForce GTX 1080 Ti11GB$0.43 Unavailable
GeForce RTX 4090PLUS$0.66 In Stock

Features

Api
Docker
Jupyter
Kubernetes
Multi Gpu
Persistent Storage
Reserved Instances
Soc2 Compliant
Spot Instances

Billing & Payment

Billing Granularity

Per-Hour

Payment Methods

Credit-Card

SynpixCloud is an emerging GPU cloud provider currently in beta, quietly building out its infrastructure and marketplace. It was auto-discovered rather than announced with fanfare, which tells you something about where it sits in the market right now: early, raw, and still finding its footing. If you’re looking for a polished, enterprise-grade platform, SynpixCloud isn’t there yet — but if you’re curious about what’s coming, it’s worth keeping an eye on.

Why SynpixCloud stands out

The standout data point here is pricing. SynpixCloud scores at the top of our pricing competitiveness scale, which suggests the platform is positioning itself as a budget-friendly option in a market where costs can spiral quickly. For solo developers or researchers working with tight budgets, that alone is worth paying attention to — even if everything else is still being built out.

That said, nearly every other metric we track is either unknown or at the floor. No listed GPU inventory, no confirmed payment methods, no API access, no Docker support, no persistent storage. The platform is genuinely in its infancy, and there’s a real chance much of this changes as it matures out of beta.

Pros

  • Highly competitive pricing — among the lowest-cost options we’ve tracked
  • Beta access — early adopters may get favorable rates or priority access as the platform grows
  • Simple entry point — low barrier to getting started via the SynpixCloud marketplace

Cons

  • No listed GPU inventory — it’s unclear what hardware is actually available or how much of it
  • Missing enterprise features — no API, no Docker, no persistent storage, no Kubernetes support
  • Ease of use is unrated — the UX is largely unknown and may be rough around the edges
  • Beta status — reliability, uptime, and support are unproven
  • Limited transparency — founding date, headquarters, and payment methods are all unknown

Getting started

  1. Visit SynpixCloud's marketplace and browse what GPU capacity is currently listed.
  2. Create an account — expect a straightforward sign-up flow given the platform’s early stage.
  3. Check what payment methods are accepted before committing time to onboarding.
  4. Start with a small, short-duration workload to test reliability before scaling up.
  5. Monitor the platform’s beta announcements for new GPU availability and feature rollouts.

Best for: Budget-conscious researchers or hobbyists willing to trade polish and reliability for low costs, and who don’t mind being early adopters on an unproven platform.

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