Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-A5000 |
|---|---|---|
| TDP | 260W | 230W |
| VRAM | 24 GB | 24 GB |
| CUDA Cores | 4,608 | 8,192 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 576 | 256 |
| FP16 Performance | 16.3 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 27.8 TFLOPS |
| Memory Bandwidth | 672 GB/s | 768 GB/s |
Performance Analysis
The RTX A5000 outperforms the Quadro RTX 6000 across key compute metrics. Its FP16 and FP32 performance reaches 27.8 TFLOPS, compared to 16.3 TFLOPS for the Quadro RTX 6000, enabling up to 70 percent faster processing in deep learning training where FP32 ensures numerical stability. For inference tasks, the higher FP16 throughput accelerates batched predictions in production environments.
Memory bandwidth represents another advantage: 768 GB/s on the RTX A5000 versus 672 GB/s supports larger batch sizes during training, minimizing data loading bottlenecks and improving overall throughput for large language models or simulations. This difference proves critical in workflows handling datasets exceeding 20 GB.
Power efficiency tilts toward the RTX A5000 with a 230W TDP against 260W, allowing more GPUs per server rack while reducing cooling demands. The Ampere architecture's advancements translate to real-world speedups in frameworks like CUDA 11 and beyond.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
Vast.ai | NVIDIA RTX A5000 24GB VRAM | 24GB | 32 vCPU 101GB RAM 101GB Storage | Iceland | $0.24/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.46/GPU/hr $3.68/hr total (8×) |
When to Choose the Quadro RTX 6000
The Quadro RTX 6000 fits scenarios involving legacy software optimized for Turing architecture. Workflows certified for its specific drivers, such as certain CAD or simulation tools from 2018-2020, run without modifications on its 24 GB VRAM and 672 GB/s bandwidth. NVLink support enables reliable multi-GPU scaling in on-premises setups where cloud migration is not feasible.
When to Choose the RTX A5000
The RTX A5000 proves ideal for contemporary AI, rendering, and HPC workloads leveraging Ampere optimizations. Its 27.8 TFLOPS FP32 performance and 768 GB/s bandwidth accelerate training and inference in modern libraries like TensorFlow 2.8 or PyTorch 1.12. Cloud pricing starts at $0.03 per hour across 35 offers, averaging $0.41 per hour, supporting scalable, cost-effective deployments.
Use Cases
The RTX A5000's 27.8 TFLOPS FP32 performance and 768 GB/s bandwidth handle larger batches and faster iterations than the Quadro RTX 6000's 16.3 TFLOPS and 672 GB/s.
Higher FP16 throughput at 27.8 TFLOPS on the RTX A5000 speeds up real-time predictions compared to 16.3 TFLOPS on the Quadro RTX 6000.
Ampere architecture delivers 27.8 TFLOPS FP32 for efficient gradient computations, surpassing Turing's 16.3 TFLOPS.
The 768 GB/s bandwidth and 27.8 TFLOPS FP16 support faster image generation pipelines than the Quadro RTX 6000's 672 GB/s and 16.3 TFLOPS.
RTX A5000's lower 230W TDP and higher 27.8 TFLOPS enable denser, more efficient simulations over the 260W Quadro RTX 6000.
Frequently Asked Questions
What is the VRAM capacity of the Quadro RTX 6000 and RTX A5000?▾
Both GPUs feature 24 GB of GDDR6 VRAM. This capacity suits memory-intensive tasks like large model loading or high-resolution rendering.
Which GPU has higher compute performance?▾
The RTX A5000 achieves 27.8 TFLOPS in FP16 and FP32, exceeding the Quadro RTX 6000's 16.3 TFLOPS by 70 percent. This benefits AI training and inference.
How do their power consumptions compare?▾
The RTX A5000 has a 230W TDP, lower than the Quadro RTX 6000's 260W. This improves efficiency in multi-GPU systems.
What are the memory bandwidth differences?▾
RTX A5000 offers 768 GB/s, compared to 672 GB/s on the Quadro RTX 6000. Higher bandwidth reduces bottlenecks for large datasets.
Is the RTX A5000 available in the cloud?▾
Yes, pricing starts at $0.03 per hour with an average of $0.41 per hour across 35 live offers. The Quadro RTX 6000 has no current cloud availability.
Do both support NVLink?▾
Both GPUs include NVLink interconnect support alongside PCIe form factors. This enables high-speed multi-GPU communication.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX A5000?▾
Cloud rental prices for both the Quadro RTX 6000 and RTX A5000 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the Quadro RTX 6000 have compared to the RTX A5000?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find Quadro RTX 6000 and RTX A5000 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the Quadro RTX 6000 and the RTX A5000?▾
The Quadro RTX 6000 uses the Turing architecture (2018) while the RTX A5000 uses Ampere (2021). The RTX A5000 delivers 1.7x the FP16 throughput and 1.1x the memory bandwidth of the Quadro RTX 6000.