Specifications Compared
| Spec | QUADRO-P4000 | RTX-4060 |
|---|---|---|
| TDP | 105W | 115W |
| VRAM | 8 GB | 8 GB |
| CUDA Cores | 1,792 | 3,072 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 5.3 TFLOPS | 15.1 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 15.1 TFLOPS |
| Memory Bandwidth | 243 GB/s | 272 GB/s |
Performance Analysis
Compute performance defines the core disparity: the RTX 4060 achieves 15.1 TFLOPS in FP16 and FP32, surpassing the Quadro P4000's 5.3 TFLOPS by a factor of approximately 2.85 times. This delta translates to significantly reduced training times for machine learning models, where FP32 handles standard precision computations and FP16 accelerates mixed-precision training; on the RTX 4060, a model requiring 10 hours on the P4000 could complete in under 4 hours.
Memory bandwidth impacts batch sizes directly: the RTX 4060's 272 GB/s versus 243 GB/s on the P4000 allows 12 percent larger batches before memory saturation, enhancing throughput in inference scenarios with high-resolution inputs. GDDR6 memory on the newer GPU also provides lower latency compared to GDDR5, benefiting iterative algorithms in scientific computing.
Power efficiency remains close, with the RTX 4060 at 115W TDP against 105W, yet delivering over 2.5 times the performance per watt: 0.131 TFLOPS per watt versus 0.050 TFLOPS per watt. For inference, this enables higher queries per second; in training, it supports larger models without thermal throttling in cloud environments.
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 suits legacy professional applications optimized for Pascal architecture, such as specific CAD software requiring certified Quadro drivers. Its 105W TDP offers marginal power savings over the 115W RTX 4060 in highly constrained environments. At $0.51 per hour average pricing, it fits niches where driver stability trumps raw performance.
When to Choose the RTX 4060
The RTX 4060 excels in modern AI and gaming workloads, leveraging 15.1 TFLOPS FP32 performance and 272 GB/s bandwidth for three times faster training and inference compared to the P4000's 5.3 TFLOPS and 243 GB/s. Cloud pricing at $0.08 per hour minimum and $0.15 average makes it ideal for cost-sensitive scaling. Ada Lovelace features enhance tensor operations in deep learning.
Use Cases
The RTX 4060's 15.1 TFLOPS FP16 performance enables three times faster training than the P4000's 5.3 TFLOPS. Higher 272 GB/s bandwidth supports larger batches for efficient large language model optimization.
RTX 4060 inference benefits from 15.1 TFLOPS throughput and Ada architecture optimizations, achieving higher queries per second versus P4000's 5.3 TFLOPS. Lower $0.15/hr pricing scales deployments economically.
Fine-tuning leverages the RTX 4060's 2.85x FP32 advantage at 15.1 TFLOPS over 5.3 TFLOPS, reducing iteration times. 8 GB GDDR6 handles model weights effectively.
Ada Lovelace tensor cores on RTX 4060 accelerate diffusion models with 15.1 TFLOPS, far exceeding P4000's Pascal limits at 5.3 TFLOPS. Bandwidth edge aids high-resolution generation.
RTX 4060's 272 GB/s bandwidth and 15.1 TFLOPS FP32 suit simulations better than P4000's 243 GB/s and 5.3 TFLOPS. Efficiency per watt doubles productivity.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 4060 provides 15.1 TFLOPS in FP16 and FP32, compared to the Quadro P4000's 5.3 TFLOPS. This results in nearly three times faster processing for AI tasks.
How do memory specs compare?▾
Both offer 8 GB VRAM, but RTX 4060 uses GDDR6 with 272 GB/s bandwidth versus P4000's GDDR5 at 243 GB/s. The higher bandwidth supports larger batch sizes.
What are the cloud rental prices?▾
Quadro P4000 starts at $0.51 per hour average across six offers. RTX 4060 is from $0.08 per hour, averaging $0.15 across six offers.
Which is better for machine learning training?▾
RTX 4060 excels with 15.1 TFLOPS and Ada architecture, reducing training times by over 2.5 times versus P4000's 5.3 TFLOPS Pascal setup.
Do they have the same power draw?▾
Quadro P4000 has 105W TDP, while RTX 4060 draws 115W. Despite slight increase, RTX 4060 offers 2.5 times performance per watt.
Is VRAM identical?▾
Yes, both provide 8 GB, sufficient for entry-level models. RTX 4060's GDDR6 provides better efficiency than P4000's GDDR5.
Which is cheaper to rent, the Quadro P4000 or the RTX 4060?▾
Cloud rental prices for both the Quadro P4000 and RTX 4060 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 4060?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 4060 has 8 GB of GDDR6 memory.
Can I find Quadro P4000 and RTX 4060 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 4060?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 4060 uses Ada Lovelace (2023). The RTX 4060 delivers 2.8x the FP16 throughput and 1.1x the memory bandwidth of the Quadro P4000.