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.
Entry-Tier GPUs Available in the Cloud
A2
ServerGTX 1050 Ti
GTX 1060
GTX 1070
GTX 1070 Ti
GTX 1080
GTX 1080 Ti
GTX 1650
GTX 1660
GTX 1660 SUPER
GTX 1660 Ti
GTX Titan X
L4
ServerQuadro P4000
Quadro P5000
Quadro RTX 4000
RTX 2060
RTX 2060 SUPER
RTX 2070
RTX 2080
RTX 3050
RTX 3060
RTX 4060
RTX 5060
RTX A2000
Tesla P40
ServerTesla T4
Tesla V100
Titan Xp
Sample Entry-Tier GPUs Pricing
| Provider | Price / hr |
|---|---|
$0.490/hr 1× | |
$0.500/hr 1× | |
$0.778/hr 0.5× | |
$0.950/hr 4× | |
$0.990/hr 1× | |
$1.12/hr36mo 1× | |
$1.17/hr 4× | |
$1.20/hr 4× | |
$1.57/hr 4× |
Showing 9 of 197 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.