High-Tier GPUs Cloud Pricing
High-tier GPUs deliver strong compute performance for serious ML workloads without the premium of top-end datacenter hardware. This tier includes the L40S, A40, RTX 4090, and professional Ada Lovelace cards. They're well-suited for production inference at scale, training medium-sized models, and workloads that need 24–48 GB VRAM with high throughput.
High-Tier GPUs Available in the Cloud
A10
A30
ServerA40
Gaudi 2
ServerL40
L40S
Max 1100
ServerMI100
ServerMI210
ServerRTX 3080 Ti
RTX 3090 Ti
RTX 4070 Ti
RTX 4070 Ti SUPER
RTX 4080 SUPER
RTX 4090
RTX 5000
RTX 5070 Ti
RTX 5080
RTX 6000 Ada
RTX A4000
RTX A6000
Sample High-Tier GPUs Pricing
| Provider | Config | Price / hr |
|---|---|---|
1× | $0.170/hr | |
2× | $0.213/hr | |
1× | $0.270/hr | |
1× | $0.330/hr | |
1× | $0.402/hr | |
1× | $0.691/hr | |
8× | $0.890/hr36mo | |
1× | $1.05/hr | |
1× | $1.10/hr |
Showing 9 of 299 price points. Visit individual GPU pages above for full pricing.
Frequently Asked Questions
Is the RTX 4090 a high-tier GPU?
Yes. The RTX 4090 offers high FP16/FP32 throughput and 24 GB VRAM. While it lacks HBM and NVLink found on datacenter GPUs, its raw compute performance and wide cloud availability make it a strong choice for inference and smaller training jobs.
When should I choose high-tier over ultra-tier?
Choose high-tier when your model fits in 48 GB or less VRAM and you don't need multi-GPU NVLink interconnects. High-tier GPUs often provide better cost-per-FLOP for workloads that don't require the memory capacity of ultra-tier hardware.