RTX 4000 Ada GPU
The RTX 4000 Ada is an entry-level professional GPU for everyday CAD and visualization tasks.
Cloud Pricing
Cheapest on RunPod — 81% below avg| Provider | GPUs | Price / hr | Updated | Source |
|---|---|---|---|---|
| 1× GPU | $0.09 | 4/8/2026 | ||
| 1× GPU | $0.18 | 4/8/2026 | ||
| 1× GPU | $0.76 | 4/8/2026 | ||
| 1× GPU | $0.87 | 4/8/2026 |
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 20GB GDDR6 memory with ECC provides substantial capacity for complex 3D scenes and models
- Single-slot form factor enables higher server density compared to dual-slot professional GPUs
- 130W maximum power consumption allows deployment in power-constrained environments
- Fourth-generation Tensor cores deliver 427.6 TFLOPS for AI inference workloads
- Third-generation RT cores provide 61.8 TFLOPS ray tracing performance for rendering applications
- Hardware AV1 encoders support modern video compression standards
- 360 GB/s memory bandwidth supports memory-intensive professional applications
- Mid-tier positioning means lower compute performance compared to high-end data center GPUs
- Not a server-class GPU, lacking enterprise features like multi-instance GPU support
- 6,144 CUDA cores provide moderate parallel processing capability for large-scale compute tasks
- 130W power draw may be excessive for lightweight workloads that don't utilize full capabilities
- Ada Lovelace architecture represents previous-generation technology as of 2026
Key Features
About RTX 4000 Ada
Common Use Cases
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.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ada Lovelace
- CUDA Cores
- 6,144
- Tensor Cores
- 192
- RT Cores
- 48
- TDP
- 130W
Memory & Performance
- VRAM
- 20GB
- Memory Bandwidth
- 360 GB/s
- FP32
- 26.73 TFLOPS
- Release
- 2023
Frequently Asked Questions
How much does an RTX 4000 Ada cost per hour in the cloud?
RTX 4000 Ada pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX 4000 Ada best used for?
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.
How does the RTX 4000 Ada compare to data center GPUs for AI workloads?
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.