Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-A4000 |
|---|---|---|
| TDP | 230W | 140W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 3,072 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 384 | 192 |
| FP16 Performance | 11.2 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 448 GB/s | 448 GB/s |
Performance Analysis
The RTX A4500 outperforms the Quadro RTX 5000 in compute-intensive tasks due to its 19.2 TFLOPS FP32 and FP16 ratings versus 11.2 TFLOPS, delivering approximately 1.7 times higher throughput for deep learning training and inference. This delta accelerates neural network operations: training epochs complete faster on the RTX A4500, and inference latency drops for real-time applications. Both GPUs share identical 16 GB GDDR6 VRAM and 448 GB/s bandwidth, supporting equivalent maximum batch sizes in memory-bound scenarios like large language model fine-tuning. The RTX A4500's lower 140 W TDP compared to 230 W enables higher density in cloud instances, reducing power costs without performance compromise. In practice, Ampere's architectural improvements yield better tensor core utilization for mixed-precision workflows over Turing.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
RTX A4500
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 excels in scenarios requiring NVLink interconnect for multi-GPU scaling, such as large-scale simulations where its PCIe form factor pairs with legacy Turing-optimized software. Professionals handling CAD or visualization pipelines certified for Quadro series may prefer its proven stability despite the 11.2 TFLOPS FP32 limit.
When to Choose the RTX A4500
The RTX A4500 is ideal for most modern AI and rendering workloads, offering 19.2 TFLOPS FP32 performance at a fraction of the cost from $0.10 per hour. Its 140 W TDP suits power-constrained environments, and Ampere architecture handles contemporary frameworks efficiently with the same 16 GB VRAM.
Use Cases
The RTX A4500's 19.2 TFLOPS FP16 outperforms the Quadro RTX 5000's 11.2 TFLOPS, speeding up large model training. Identical 448 GB/s bandwidth supports similar batch sizes.
Higher 19.2 TFLOPS FP32 on RTX A4500 reduces latency compared to 11.2 TFLOPS on Quadro RTX 5000. Lower $0.19 per hour average cost favors sustained inference deployments.
Ampere architecture and 19.2 TFLOPS enable faster fine-tuning iterations than Turing's 11.2 TFLOPS. 16 GB VRAM matches for model sizes.
RTX A4500's superior 19.2 TFLOPS FP16 accelerates image generation over Quadro RTX 5000's 11.2 TFLOPS. Lower 140 W TDP improves efficiency.
Both provide 16 GB VRAM and 448 GB/s bandwidth for simulations. Choose Quadro RTX 5000 for NVLink needs, RTX A4500 for higher 19.2 TFLOPS compute.
Frequently Asked Questions
Which GPU has higher performance: Quadro RTX 5000 or RTX A4500?▾
The RTX A4500 achieves 19.2 TFLOPS in FP16 and FP32, surpassing the Quadro RTX 5000's 11.2 TFLOPS by 71 percent. This benefits AI workloads significantly. Both share 16 GB GDDR6 VRAM.
What are the cloud rental prices for these GPUs?▾
Quadro RTX 5000 rents from $0.82 per hour on average across two offers. RTX A4500 starts at $0.10 per hour, averaging $0.19 across four offers. Price favors the RTX A4500 heavily.
How do power consumptions compare?▾
RTX A4500 draws 140 W TDP, lower than Quadro RTX 5000's 230 W. This allows denser cloud deployments. Efficiency gains pair with Ampere's higher 19.2 TFLOPS.
Do they have the same memory specs?▾
Yes, both feature 16 GB GDDR6 VRAM and 448 GB/s bandwidth. Batch sizes remain equivalent in memory-limited tasks. RTX A4500 adds Ampere advantages.
Which is better for multi-GPU setups?▾
Quadro RTX 5000 supports NVLink interconnect, aiding scaling. RTX A4500 lacks specified interconnect but offers PCIe and higher 19.2 TFLOPS per GPU.
What architectures do they use?▾
Quadro RTX 5000 uses Turing from 2018. RTX A4500 employs Ampere from 2021, enabling better tensor performance at 19.2 TFLOPS.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX A4000?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX A4000 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 5000 have compared to the RTX A4000?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find Quadro RTX 5000 and RTX A4000 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 5000 and the RTX A4000?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX A4000 uses Ampere (2021). The RTX A4000 delivers 1.7x the FP16 throughput and 1.0x the memory bandwidth of the Quadro RTX 5000.