Mid-Tier GPUs Cloud Pricing
Mid-tier GPUs balance price and capability for production inference, moderate training, and professional workloads. This tier includes popular consumer cards (RTX 3080, RTX 4070) and datacenter options (A10G, A30). VRAM ranges from 8–64 GB. They're commonly used for serving ML models in production and fine-tuning with parameter-efficient methods.
Mid-Tier GPUs Available in the Cloud
A16
ServerRTX 3070
RTX 3070 Ti
RTX 3080
RTX 3090
RTX 4000 Ada
RTX 4060 Ti
RTX 4070
RTX 4070 SUPER
RTX 4080
RTX 4500 Ada
RTX 5060 Ti
RTX 5070
RTX A4500
ServerRTX A5000
Sample Mid-Tier GPUs Pricing
Showing 9 of 66 price points. Visit individual GPU pages above for full pricing.
Frequently Asked Questions
What workloads suit mid-tier GPUs?
Mid-tier GPUs handle production inference for models up to 13B parameters, fine-tuning with LoRA/QLoRA, batch processing, image generation, and video encoding. They offer a practical balance between cost and throughput.
How do mid-tier GPUs compare to high-tier for inference?
Mid-tier GPUs have lower memory bandwidth and fewer tensor cores, so throughput per GPU is lower. However, they can be more cost-effective for workloads that don't need the full power of high-tier cards. Compare pricing per token of output above.