Specifications Compared
| Spec | QUADRO-P4000 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 105W | 400W |
| VRAM | 8 GB | 96 GB |
| CUDA Cores | 1,792 | 21,760 |
| Memory Type | GDDR5 | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 5.3 TFLOPS | 125 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 125 TFLOPS |
| Memory Bandwidth | 243 GB/s | 1,792 GB/s |
Performance Analysis
Compute performance shows a stark disparity: the RTX PRO 6000 achieves 125 TFLOPS in FP32, over 23 times the Quadro P4000's 5.3 TFLOPS, accelerating deep learning training cycles significantly. Equivalent FP16 and FP32 rates on both GPUs support mixed-precision workflows, but the PRO 6000's 2000 TFLOPS FP8 capability optimizes low-precision inference for large language models.
Memory capacity and bandwidth transform workload feasibility: 96 GB GDDR7 versus 8 GB GDDR5 enables the PRO 6000 to load models exceeding 8 GB without offloading, while 1792 GB/s bandwidth, nearly seven times the P4000's 243 GB/s, sustains larger batch sizes in training and reduces data transfer bottlenecks.
Power efficiency varies: the P4000's 105W TDP suits lighter loads, but the PRO 6000's 400W reflects its density for high-throughput AI, where raw speed outweighs per-watt metrics in cloud rentals.
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 excels in cost-sensitive, low-intensity professional applications: its average cloud pricing of $0.51 per hour across six offers provides economical access to 5.3 TFLOPS for CAD modeling or legacy visualization software. With a 105W TDP, it fits power-constrained servers or single-GPU setups where 8 GB VRAM and 243 GB/s bandwidth meet modest demands without excess capacity.
When to Choose the RTX PRO 6000
Choose the RTX PRO 6000 for cutting-edge AI and rendering workloads: 96 GB VRAM handles massive datasets, and 125 TFLOPS FP32 performance slashes training times compared to the P4000's limits. NVLink interconnect supports multi-GPU configurations, ideal for scalable inference at 2000 TFLOPS FP8, despite the 400W TDP and $1.25 average hourly cost.
Use Cases
The RTX PRO 6000's 96 GB VRAM and 125 TFLOPS FP16 support training large models with big batches, far beyond the Quadro P4000's 8 GB and 5.3 TFLOPS limits.
2000 TFLOPS FP8 on the PRO 6000 enables ultra-fast inference on huge models, while the P4000's 5.3 TFLOPS FP16 cannot handle high throughput.
96 GB VRAM and 1792 GB/s bandwidth allow efficient fine-tuning of mid-to-large models on the PRO 6000; the P4000's 8 GB restricts dataset sizes.
125 TFLOPS FP32 accelerates image generation pipelines on the PRO 6000, outperforming the P4000's 5.3 TFLOPS for faster iterations.
Light simulations fit the P4000's 5.3 TFLOPS and low $0.51 per hour cost; demanding HPC prefers the PRO 6000's 125 TFLOPS.
Frequently Asked Questions
What is the compute performance difference between Quadro P4000 and RTX PRO 6000?▾
The RTX PRO 6000 offers 125 TFLOPS in FP32 and FP16, compared to the P4000's 5.3 TFLOPS in both, a 23.6 times uplift. It adds 2000 TFLOPS FP8 for specialized inference. This gap shortens training times dramatically for AI tasks.
How much VRAM do these GPUs have?▾
Quadro P4000 provides 8 GB GDDR5 VRAM with 243 GB/s bandwidth. RTX PRO 6000 has 96 GB GDDR7 at 1792 GB/s. The PRO 6000 supports 12 times more memory for large models.
What are the cloud rental prices?▾
P4000 rents from $0.51 per hour average across six offers. RTX PRO 6000 starts at $0.59 per hour with $1.25 average across five offers. Pricing reflects performance disparity.
Which GPU is better for machine learning training?▾
RTX PRO 6000 excels with 125 TFLOPS FP16 and 96 GB VRAM for large-batch training. P4000's 5.3 TFLOPS and 8 GB limit it to small models. Bandwidth of 1792 GB/s versus 243 GB/s aids data flow.
What are the power requirements?▾
Quadro P4000 has a 105W TDP suitable for low-power setups. RTX PRO 6000 draws 400W for high-density compute. Both use PCIe form factors.
What architectures do they use?▾
P4000 is Pascal from 2017 without NVLink. PRO 6000 is Blackwell from 2025 with NVLink support. This enables better multi-GPU scaling on the newer GPU.
Which is cheaper to rent, the Quadro P4000 or the RTX PRO 6000?▾
Cloud rental prices for both the Quadro P4000 and RTX PRO 6000 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 PRO 6000?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find Quadro P4000 and RTX PRO 6000 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 PRO 6000?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 23.6x the FP16 throughput and 7.4x the memory bandwidth of the Quadro P4000.