RTX A5000 GPU
The RTX A5000 provides 24GB of GDDR6 memory and NVLink support for scaling across multi-GPU setups. It's used for complex 3D modeling, medical imaging, and mid-sized AI training tasks.
Cloud Pricing
Cheapest on Salad Cloud — 84% below avg
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 24GB GDDR6 memory with ECC provides large memory buffer with error correction for professional workloads
- 256 third-generation Tensor cores with structural sparsity support accelerate AI model training
- 256 second-generation RT cores enable hardware-accelerated ray tracing for visualization applications
- NVLink support allows multi-GPU scaling with 112 GB/s inter-GPU bandwidth
- NVIDIA RTX Virtual Workstation compatibility enables GPU virtualization and multi-user access
- Professional driver certification ensures compatibility with CAD and engineering applications
- Hardware-accelerated motion blur provides enhanced rendering capabilities for visualization workflows
- 230W TDP requires substantial cooling and power infrastructure in dense deployments
- Ampere architecture lacks newer efficiency and performance improvements found in Ada Lovelace generation
- Mid-tier positioning provides less compute performance than higher-end professional GPUs
- Released in 2021, represents previous-generation technology compared to current RTX 6000 series
- Workstation-focused positioning may include unnecessary professional features for pure compute workloads
Key Features
About RTX A5000
Common Use Cases
The RTX A5000 is suited for professional visualization workflows including CAD rendering, engineering simulations, and architectural visualization where the 24GB ECC memory provides reliability and capacity for complex models. Its Tensor cores and substantial memory make it appropriate for moderate-scale AI model training and inference, particularly for computer vision and neural rendering applications. The professional driver certification and RTX Virtual Workstation support make it suitable for virtualized design environments and multi-user workstation deployments where GPU sharing is required.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ampere
- CUDA Cores
- 8,192
- Tensor Cores
- 256
- RT Cores
- 64
- Process Node
- 8nm
- TDP
- 230W
Memory & Performance
- VRAM
- 24GB
- Memory Interface
- 384-bit
- Memory Bandwidth
- 768 GB/s
- FP32
- 27.8 TFLOPS
- FP16
- 111.1 TFLOPS
- FP64
- 0.43 TFLOPS
- INT8
- 222.2 TOPS
- Release
- 2021
Frequently Asked Questions
How much does an RTX A5000 cost per hour in the cloud?
RTX A5000 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX A5000 best used for?
The RTX A5000 excels at professional visualization, CAD rendering, engineering simulations, and moderate AI training workloads. Its 24GB ECC memory, professional drivers, and virtualization support make it particularly suitable for design workflows and virtualized workstation environments.
How does the RTX A5000 compare to the RTX A6000?
The RTX A6000 offers more CUDA cores (10,752 vs 8,192), higher memory bandwidth (768 GB/s), and better performance across compute and graphics workloads. The A5000 provides a more cost-effective option with the same 24GB memory capacity but lower computational throughput, making it suitable for memory-intensive but less compute-demanding applications.