The RTX 4000 Ada is an entry-level professional GPU for everyday CAD and visualization tasks.

| Provider | Price / hr |
|---|---|
$0.160/hr 1× | |
$0.188/hr 1× | |
$0.240/hr12mo 4× | |
$0.240/hr24mo 4× | |
$0.270/hr 4× | |
$0.280/hr 1×2× | |
$0.520/hr 1× | |
$0.525/hr 2× | |
$0.700/hr 1× | |
$0.740/hr 4× | |
$0.760/hr 1× | |
$0.200/hr 1× |
Prices updated daily. Last check: Sep 8, 2026
Every configuration, price rank, and alternative for one provider at a time.
The RTX 4000 Ada targets professional workloads requiring both graphics and compute capabilities, particularly in space-constrained cloud deployments. Its 20GB VRAM capacity suits 3D modeling and rendering applications that handle complex scenes, while the fourth-generation Tensor cores enable AI inference tasks for content creation workflows. The hardware AV1 encoders make it suitable for video processing and streaming applications requiring modern compression standards. The single-slot design and 130W power envelope allow cloud providers to achieve higher GPU density per server while supporting workloads that benefit from the combination of RT cores for ray tracing, substantial memory capacity, and moderate compute performance.
RTX 4000 Ada pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
The RTX 4000 Ada excels at professional graphics workloads including 3D modeling, rendering, and content creation that benefit from its 20GB VRAM capacity and RT cores. It also handles AI inference tasks through its Tensor cores and video processing applications using hardware AV1 encoders.
The RTX 4000 Ada provides 192 Tensor cores and 427.6 TFLOPS tensor performance, which is suitable for inference but significantly lower than dedicated data center GPUs. Its advantage lies in combining AI capabilities with professional graphics features and higher memory capacity than consumer alternatives, making it better suited for mixed graphics-AI workflows than pure compute tasks.