Specifications Compared
| Spec | QUADRO-P4000 | RTX-3070 |
|---|---|---|
| TDP | 105W | 220W |
| VRAM | 8 GB | 8 GB |
| CUDA Cores | 1,792 | 5,888 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 5.3 TFLOPS | 20.3 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 20.3 TFLOPS |
| Memory Bandwidth | 243 GB/s | 448 GB/s |
Performance Analysis
Compute performance defines the core difference: the RTX 3070 achieves 20.3 TFLOPS in both FP16 and FP32, compared to 5.3 TFLOPS for the Quadro P4000. This fourfold increase accelerates training epochs and inference queries in machine learning workloads, reducing time from hours to minutes on equivalent datasets.
Memory bandwidth impacts data throughput: 448 GB/s on the RTX 3070 versus 243 GB/s on the P4000 allows larger batch sizes without bottlenecks, enabling efficient processing of models up to 8 GB VRAM limit. For inference, higher FP16 performance on the RTX 3070 supports more simultaneous requests, ideal for serving applications.
Power draw varies at 220 W TDP for the RTX 3070 against 105 W for the P4000, potentially affecting dense cloud instances, though per-hour pricing already reflects efficiency. Overall, Ampere's advancements translate to superior real-world speed in AI tasks.
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 requiring certified drivers, such as CAD software optimized for Pascal architecture. Its lower 105 W TDP minimizes power costs in constrained environments, and at 8 GB GDDR5 with 243 GB/s bandwidth, it handles visualization tasks without excess capacity.
Choose it when software compatibility demands Quadro-specific features unavailable on consumer GPUs like the RTX 3070.
When to Choose the RTX 3070
The RTX 3070 excels in modern AI and rendering workloads, leveraging 20.3 TFLOPS FP32 performance and 448 GB/s bandwidth for faster training and inference. Its cloud pricing from $0.04 per hour offers unmatched value compared to the P4000's $0.51 average.
Select it for high-throughput tasks where four times the compute power justifies the 220 W TDP in scalable cloud setups.
Use Cases
The RTX 3070's 20.3 TFLOPS FP16 outperforms the P4000's 5.3 TFLOPS, enabling faster epoch completion on large models within 8 GB VRAM.
Higher 448 GB/s bandwidth on the RTX 3070 supports larger batches and more queries per second than the P4000's 243 GB/s.
Ampere architecture provides 20.3 TFLOPS FP32 for quicker fine-tuning iterations compared to Pascal's 5.3 TFLOPS.
RTX 3070's fourfold compute advantage accelerates image generation, with pricing at $0.08 per hour versus $0.51.
Superior 448 GB/s bandwidth and 20.3 TFLOPS handle simulations efficiently, outpacing the P4000 in data-intensive computations.
Frequently Asked Questions
Which GPU has higher performance?▾
The RTX 3070 offers 20.3 TFLOPS in FP32 and FP16, compared to 5.3 TFLOPS on the Quadro P4000. This results in nearly four times faster compute for AI tasks.
How do memory bandwidths compare?▾
RTX 3070 provides 448 GB/s with GDDR6, doubling the Quadro P4000's 243 GB/s GDDR5. Higher bandwidth supports larger batch sizes in training.
What are the cloud rental prices?▾
Quadro P4000 averages $0.51 per hour across six offers. RTX 3070 starts at $0.04 per hour with an average of $0.08 across six offers.
Do they have the same VRAM?▾
Both feature 8 GB VRAM, but RTX 3070 uses faster GDDR6 while Quadro P4000 has GDDR5. This pairs with bandwidth differences for throughput gains on the newer GPU.
Which has lower power consumption?▾
Quadro P4000 draws 105 W TDP versus 220 W for RTX 3070. Lower power suits edge deployments, though cloud pricing favors the RTX.
What architectures do they use?▾
Quadro P4000 is Pascal from 2017; RTX 3070 is Ampere from 2020. Ampere delivers superior FP16/FP32 performance at 20.3 TFLOPS.
Which is cheaper to rent, the Quadro P4000 or the RTX 3070?▾
Cloud rental prices for both the Quadro P4000 and RTX 3070 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 3070?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find Quadro P4000 and RTX 3070 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 3070?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 3.8x the FP16 throughput and 1.8x the memory bandwidth of the Quadro P4000.
