Specifications Compared
| Spec | QUADRO-P4000 | RTX-5000-ADA |
|---|---|---|
| TDP | 105W | 250W |
| VRAM | 8 GB | 32 GB |
| CUDA Cores | 1,792 | 12,800 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 5.3 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 65.3 TFLOPS |
| Memory Bandwidth | 243 GB/s | 576 GB/s |
Performance Analysis
Compute capabilities define the core performance divide: the RTX 5000 Ada's 65.3 TFLOPS in FP16 and FP32 provides approximately 12 times the throughput of the Quadro P4000's 5.3 TFLOPS. This delta accelerates machine learning training cycles and inference latencies significantly, allowing the RTX 5000 Ada to process iterations in minutes where the Quadro P4000 requires hours for equivalent workloads.
Memory specifications further amplify real-world impacts. The 32 GB VRAM on the RTX 5000 Ada supports models exceeding 8 GB, preventing out-of-memory errors common on the Quadro P4000 during fine-tuning or inference on large language models. Bandwidth at 576 GB/s versus 243 GB/s enables larger batch sizes: for instance, the RTX 5000 Ada sustains high throughput with batches four times greater, reducing per-sample latency in training.
Higher TDP of 250 W on the RTX 5000 Ada correlates with sustained performance under load, unlike the Quadro P4000's 105 W limit, which throttles intensive tasks. These factors position the RTX 5000 Ada for modern AI pipelines, while the Quadro P4000 fits basic inference or prototyping.
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 5000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the Quadro P4000
The Quadro P4000 excels in power-constrained or budget-stable scenarios where 105 W TDP avoids high cooling costs. Legacy applications optimized for Pascal architecture run efficiently at 5.3 TFLOPS FP32, and with six cloud offers at $0.51 per hour average, it provides reliable availability for light visualization or small-scale inference under 8 GB VRAM.
Choose it for non-demanding tasks like basic CAD rendering or entry-level ML prototyping, where 243 GB/s bandwidth suffices without needing Ada Lovelace features.
When to Choose the RTX 5000 Ada
The RTX 5000 Ada dominates modern workloads requiring 32 GB VRAM and 65.3 TFLOPS performance. At starting prices of $0.25 per hour, it offers superior value for training large models or high-batch inference, leveraging 576 GB/s bandwidth for efficient data handling.
Opt for it in AI development, scientific simulations, or generative tasks where the 12-fold compute uplift and PCIe compatibility justify the 250 W TDP.
Use Cases
The RTX 5000 Ada's 32 GB VRAM and 65.3 TFLOPS FP16 handle large models and batches infeasible on the Quadro P4000's 8 GB and 5.3 TFLOPS.
576 GB/s bandwidth and 65.3 TFLOPS on the RTX 5000 Ada support high-throughput serving, far exceeding the Quadro P4000's 243 GB/s and 5.3 TFLOPS limits.
32 GB VRAM prevents memory constraints during fine-tuning, with 12x faster 65.3 TFLOPS compute on RTX 5000 Ada versus Quadro P4000.
RTX 5000 Ada's 32 GB GDDR6 and 576 GB/s bandwidth accelerate image generation at scale, outperforming Quadro P4000's 8 GB GDDR5 capacity.
65.3 TFLOPS FP32 on RTX 5000 Ada processes simulations 12 times quicker than Quadro P4000's 5.3 TFLOPS, with ample 32 GB VRAM for datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5000 Ada provides 32 GB GDDR6 VRAM, quadrupling the Quadro P4000's 8 GB GDDR5. This enables larger models in AI tasks. Bandwidth also favors RTX 5000 Ada at 576 GB/s over 243 GB/s.
What are the compute performance differences?▾
RTX 5000 Ada achieves 65.3 TFLOPS in FP16 and FP32, compared to Quadro P4000's 5.3 TFLOPS in each. This yields about 12 times faster processing for training and inference.
How do cloud prices compare?▾
Quadro P4000 starts at $0.51 per hour average across six offers, while RTX 5000 Ada starts at $0.25 per hour average $0.51 per hour across five. RTX 5000 Ada offers better value for performance.
What is the power consumption?▾
Quadro P4000 has a 105 W TDP, lower than RTX 5000 Ada's 250 W. Lower TDP suits power-limited setups, but RTX 5000 Ada sustains higher workloads.
Which is newer technology?▾
RTX 5000 Ada uses 2023 Ada Lovelace architecture, versus Quadro P4000's 2017 Pascal. This brings modern features like improved FP16 efficiency at 65.3 TFLOPS.
Are both suitable for ML training?▾
RTX 5000 Ada excels with 32 GB VRAM and 65.3 TFLOPS, handling large batches. Quadro P4000's 8 GB limits it to small-scale training at 5.3 TFLOPS.
Which is cheaper to rent, the Quadro P4000 or the RTX 5000 Ada?▾
Cloud rental prices for both the Quadro P4000 and RTX 5000 Ada 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 5000 Ada?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find Quadro P4000 and RTX 5000 Ada 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 5000 Ada?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 5000 Ada uses Ada Lovelace (2023). The RTX 5000 Ada delivers 12.3x the FP16 throughput and 2.4x the memory bandwidth of the Quadro P4000.