RTX 5000 GPU
The RTX 5000 Ada is a professional workstation GPU with 32GB memory for demanding visualization and AI workloads.
Cloud Pricing
Cheapest on RunPod — 28% below avg
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 32GB GDDR6 memory with ECC support provides substantial capacity for large datasets and models
- Fourth-generation Tensor cores deliver 1,044.4 TFLOPS of AI compute performance
- Third-generation RT cores provide 151.0 TFLOPS of ray tracing performance for rendering workloads
- AV1 hardware encoders enable efficient video encoding for content creation workflows
- 250W TDP allows deployment in standard dual-slot server configurations
- PCIe Gen4 x16 interface provides high-bandwidth connectivity to host systems
- Ada Lovelace architecture offers improved performance per watt over previous generations
- 250W power consumption requires adequate cooling and power delivery infrastructure
- Professional workstation GPU pricing typically exceeds gaming or entry-level options
- Memory bandwidth at 576 GB/s may become a bottleneck for extremely memory-intensive workloads
- Not optimized for large-scale AI training that benefits from specialized datacenter architectures
- Single-GPU configuration limits scalability compared to multi-GPU server solutions
Key Features
About RTX 5000
Common Use Cases
The RTX 5000 is well-suited for professional visualization workloads including 3D modeling, rendering, and simulation applications that benefit from its 32GB memory capacity and RT core acceleration. The fourth-generation Tensor cores and substantial AI compute performance make it effective for generative AI workflows, inference applications, and machine learning development where the large memory buffer supports complex models. Content creators can leverage the AV1 encoders for efficient video processing, while the ECC memory support provides reliability for mission-critical professional applications that require data integrity.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ada Lovelace
- CUDA Cores
- 12,800
- Tensor Cores
- 400
- RT Cores
- 100
- TDP
- 250W
Memory & Performance
- VRAM
- 32GB
- Memory Bandwidth
- 576 GB/s
- FP32
- 65.28 TFLOPS
- Release
- 2023
Frequently Asked Questions
How much does an RTX 5000 cost per hour in the cloud?
RTX 5000 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX 5000 best used for?
The RTX 5000 excels at professional visualization, 3D rendering, generative AI workflows, and content creation tasks. Its 32GB ECC memory and professional drivers make it particularly suitable for business-critical applications requiring reliability and large memory capacity.
How does the RTX 5000 compare to datacenter GPUs like the H100?
The RTX 5000 is a workstation GPU focused on professional graphics and moderate-scale AI workloads, while the H100 is a datacenter GPU optimized for large-scale AI training with higher memory bandwidth and specialized interconnects. The RTX 5000 offers better price-performance for visualization and smaller AI inference tasks.