Specifications Compared
| Spec | QUADRO-P4000 | RTX-A4000 |
|---|---|---|
| TDP | 105W | 140W |
| VRAM | 8 GB | 16 GB |
| CUDA Cores | 1,792 | 6,144 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 5.3 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 243 GB/s | 448 GB/s |
Performance Analysis
The RTX A4500 demonstrates superior raw compute: 19.2 TFLOPS in FP16 and FP32 dwarfs the Quadro P4000's 5.3 TFLOPS in both metrics. In real-world terms, this accelerates machine learning training by enabling faster matrix multiplications during backpropagation and inference by processing more samples per second.
Since FP16 and FP32 rates match on each GPU, mixed-precision training benefits proportionally: the A4500 completes epochs over three times quicker on equivalent workloads. Memory bandwidth plays a key role in batch sizes: 448 GB/s on the A4500 versus 243 GB/s on the P4000 allows larger batches without memory bottlenecks, improving GPU utilization in training loops.
The 16 GB VRAM on the A4500 supports models up to double the size of the P4000's 8 GB limit, reducing out-of-memory errors in inference for large language models.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.51/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.51/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.51/GPU/hr | 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 P4000
The Quadro P4000 fits legacy workflows certified for Pascal GPUs, such as older CAD software or simulations not yet ported to Ampere. Its 105W TDP consumes less power than the A4500's 140W, suiting constrained cloud instances or mobile workstation setups.
When to Choose the RTX A4500
The RTX A4500 outperforms in contemporary AI and rendering tasks with 19.2 TFLOPS compute and 16 GB VRAM. At $0.19 per hour average pricing, it delivers better value for training models requiring high memory bandwidth of 448 GB/s.
Use Cases
RTX A4500's 16 GB VRAM and 448 GB/s bandwidth manage large LLM parameters without swapping, unlike P4000's 8 GB limit. Its 19.2 TFLOPS FP16 speeds training by over three times.
The A4500's higher 19.2 TFLOPS FP32 and 16 GB VRAM enable low-latency inference on bigger models. P4000's 5.3 TFLOPS limits throughput.
Ampere architecture with 19.2 TFLOPS accelerates fine-tuning gradients faster than P4000's 5.3 TFLOPS. 448 GB/s bandwidth supports optimal batch sizes.
A4500's 16 GB VRAM handles high-resolution image generation, exceeding P4000's 8 GB capacity. 19.2 TFLOPS boosts diffusion steps.
RTX A4500's 448 GB/s bandwidth and 19.2 TFLOPS FP32 excel in simulations with large arrays, outperforming P4000's 243 GB/s and 5.3 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM: Quadro P4000 or RTX A4500?▾
The RTX A4500 has 16 GB GDDR6 VRAM compared to the Quadro P4000's 8 GB GDDR5. This allows the A4500 to load larger models or datasets in memory-intensive tasks.
What are the cloud pricing differences?▾
Quadro P4000 pricing starts at $0.51 per hour with an average of $0.51 per hour across 6 offers. RTX A4500 starts at $0.10 per hour with an average of $0.19 per hour across 4 offers.
How do FP32 performances compare?▾
RTX A4500 delivers 19.2 TFLOPS FP32, over three times the Quadro P4000's 5.3 TFLOPS. This results in significantly faster general-purpose computing workloads.
What is the memory bandwidth gap?▾
RTX A4500 provides 448 GB/s bandwidth versus Quadro P4000's 243 GB/s. Higher bandwidth on A4500 improves data transfer for large batch training.
Which has lower TDP?▾
Quadro P4000 has a 105W TDP compared to RTX A4500's 140W. Lower TDP suits power-limited environments.
What architectures do they use?▾
Quadro P4000 uses Pascal from 2017, while RTX A4500 uses Ampere from 2021. Ampere adds tensor cores for modern AI acceleration.
Which is cheaper to rent, the Quadro P4000 or the RTX A4000?▾
Cloud rental prices for both the Quadro P4000 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 P4000 have compared to the RTX A4000?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find Quadro P4000 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 P4000 and the RTX A4000?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX A4000 uses Ampere (2021). The RTX A4000 delivers 3.6x the FP16 throughput and 1.8x the memory bandwidth of the Quadro P4000.