performance tier

Entry-Tier GPUs Cloud Pricing

Entry-tier GPUs are the most affordable option for getting started with GPU compute. They're suitable for learning, prototyping, light inference, and running small models. VRAM typically ranges from 6–24 GB. These GPUs won't handle serious training workloads but are ideal for development and testing before scaling up.

GPUs 7
Providers 13
From $0.05/hr

Entry-Tier GPUs Available in the Cloud

Sample Entry-Tier GPUs Pricing

ProviderGPUsPrice / hrUpdatedSource
1× GPU
$0.06
4/6/2026
1× GPU
$0.09
4/6/2026
1× GPU
1mo$0.22
3/31/2026
1× GPU
3mo$0.34
3/30/2026
1× GPU
$0.42
4/6/2026
1× GPU
$0.43
4/6/2026
1× GPU
$0.44
4/6/2026
4× GPU
$0.80
4/6/2026
1× GPU
$0.99
4/6/2026
Direct from providerVia marketplace

Showing 9 of 56 price points. Visit individual GPU pages above for full pricing.

Frequently Asked Questions

What can I do with an entry-tier GPU?

Entry-tier GPUs handle inference for models up to 7B parameters, development and testing of ML pipelines, Stable Diffusion image generation, and light fine-tuning with LoRA. They're a good starting point before committing to more expensive hardware.

Should I start with an entry-tier GPU?

If you're prototyping or running inference on smaller models, entry-tier GPUs provide the lowest cost. Once your workload is defined, you can estimate whether mid or high-tier hardware would be more cost-effective per unit of work.

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