Specifications Compared
| Spec | QUADRO-P4000 | RTX-3080 |
|---|---|---|
| TDP | 105W | 320W |
| VRAM | 8 GB | 10-12 GB |
| CUDA Cores | 1,792 | 8,704 |
| Memory Type | GDDR5 | GDDR6X |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 5.3 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 29.8 TFLOPS |
| Memory Bandwidth | 243 GB/s | 760 GB/s |
Performance Analysis
Raw compute power favors the RTX 3080 decisively: its 29.8 TFLOPS in FP16 and FP32 dwarfs the Quadro P4000's 5.3 TFLOPS in both, enabling up to 5.6 times faster training and inference for deep learning models. This performance gap shortens iteration cycles in neural network optimization, where FP16 precision accelerates mixed-precision training without accuracy loss.
Memory bandwidth presents another key advantage for the RTX 3080: 760 GB/s versus 243 GB/s on the P4000 allows for substantially larger batch sizes, reducing per-sample processing time and mitigating out-of-memory errors during inference on complex models. The RTX 3080's 10-12 GB GDDR6X VRAM capacity exceeds the P4000's 8 GB GDDR5, supporting bigger datasets or multi-model pipelines directly on-GPU.
In real-world terms, these specs translate to the RTX 3080 handling modern workloads like transformer-based LLMs far more effectively, while the P4000 suits lighter legacy tasks where its lower 105W TDP conserves energy.
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 |
When to Choose the Quadro P4000
The Quadro P4000 fits niche professional applications requiring certified Quadro drivers for stability in CAD or visualization software. Its 105W TDP makes it preferable in power-constrained cloud instances where energy efficiency outweighs peak performance, avoiding the RTX 3080's 320W draw.
When to Choose the RTX 3080
The RTX 3080 dominates general-purpose AI and rendering tasks, with 29.8 TFLOPS FP32 performance enabling rapid model training and inference. At an average cloud price of $0.13 per hour, it provides exceptional value over the P4000's $0.51 per hour, especially for workloads leveraging its 760 GB/s bandwidth and 10-12 GB VRAM.
Use Cases
The RTX 3080's 29.8 TFLOPS FP16 performance accelerates large language model training by over 5 times compared to the P4000's 5.3 TFLOPS. Its 10-12 GB VRAM handles bigger batches effectively.
RTX 3080's 760 GB/s bandwidth supports high-throughput inference with large batches, far surpassing the P4000's 243 GB/s. This reduces latency for real-time serving.
With 29.8 TFLOPS FP32 and 10-12 GB VRAM, the RTX 3080 fine-tunes models much faster than the P4000's 5.3 TFLOPS and 8 GB limits.
Ampere architecture and 29.8 TFLOPS on RTX 3080 generate images rapidly, outperforming Pascal-based P4000's 5.3 TFLOPS significantly.
RTX 3080's 29.8 TFLOPS FP32 handles simulations efficiently versus P4000's 5.3 TFLOPS, with higher bandwidth aiding data-intensive computations.
Frequently Asked Questions
What is the FP32 performance difference between Quadro P4000 and RTX 3080?▾
The RTX 3080 delivers 29.8 TFLOPS FP32, while the Quadro P4000 provides 5.3 TFLOPS, a 5.6-fold increase. This gap accelerates compute-bound scientific and AI tasks substantially.
How much VRAM do these GPUs have?▾
Quadro P4000 has 8 GB GDDR5 VRAM, compared to 10-12 GB GDDR6X on RTX 3080. The extra capacity on RTX 3080 supports larger models without swapping to system RAM.
What are the current cloud rental prices?▾
Quadro P4000 averages $0.51 per hour across 6 offers. RTX 3080 averages $0.13 per hour across 8 offers, starting from $0.06 per hour.
Which GPU has higher memory bandwidth?▾
RTX 3080 offers 760 GB/s, over three times the Quadro P4000's 243 GB/s. Higher bandwidth enables larger batch sizes in training.
What are the TDP ratings?▾
Quadro P4000 has a 105W TDP, suitable for low-power setups. RTX 3080 requires 320W, demanding robust cooling in cloud instances.
Which is better for machine learning training?▾
RTX 3080 excels with 29.8 TFLOPS FP16 and 10-12 GB VRAM for faster training. P4000's 5.3 TFLOPS limits it to smaller-scale tasks.
Which is cheaper to rent, the Quadro P4000 or the RTX 3080?▾
Cloud rental prices for both the Quadro P4000 and RTX 3080 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 3080?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find Quadro P4000 and RTX 3080 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 3080?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 5.6x the FP16 throughput and 3.1x the memory bandwidth of the Quadro P4000.