Specifications Compared
| Spec | GTX-1070 | QUADRO-P4000 |
|---|---|---|
| TDP | 150W | 105W |
| VRAM | 8 GB | 8 GB |
| CUDA Cores | 1,920 | 1,792 |
| Memory Type | GDDR5 | GDDR5 |
| Architecture | Pascal | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 6.5 TFLOPS | 5.3 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 5.3 TFLOPS |
| Memory Bandwidth | 256 GB/s | 243 GB/s |
Performance Analysis
Compute performance favors the GTX 1070 decisively: its 6.5 TFLOPS FP32 rating outpaces the Quadro P4000's 5.3 TFLOPS, enabling 22 percent faster matrix operations in training loops. FP16 performance mirrors this gap, accelerating half-precision inference tasks common in deployed models. Real-world training times shorten accordingly, with the GTX 1070 handling larger models before VRAM limits at 8 GB.
Memory bandwidth impacts batch processing directly: 256 GB/s on the GTX 1070 supports bigger batches without stalling, ideal for throughput in inference servers, whereas the Quadro P4000's 243 GB/s may constrain sizes by up to five percent in bandwidth-bound scenarios. Both share identical 8 GB GDDR5, limiting them to small-to-medium models.
Efficiency tilts toward the Quadro P4000 with 105W TDP versus 150W, allowing more units per host and lower operational costs in dense cloud racks. This suits prolonged inference over peak training bursts.
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 GTX 1070
The GTX 1070 proves superior for raw compute demands. Its 6.5 TFLOPS FP32 and 256 GB/s bandwidth deliver 22 percent more performance than the Quadro P4000, accelerating training and inference where speed trumps availability. Select it for offline prototyping or bursty workloads ignoring current lack of cloud offers.
When to Choose the Quadro P4000
The Quadro P4000 fits availability-driven deployments. Live pricing starts at $0.51 per hour across six providers, with 105W TDP enabling efficient, low-power operation versus the GTX 1070's 150W. Choose it for continuous inference or professional viz tasks prioritizing cost and uptime.
Use Cases
GTX 1070's 6.5 TFLOPS FP32 exceeds Quadro P4000's 5.3 TFLOPS by 22 percent, reducing epoch times. Higher 256 GB/s bandwidth supports effective batching within 8 GB VRAM.
6.5 TFLOPS FP16 on GTX 1070 boosts throughput over 5.3 TFLOPS on Quadro P4000. Bandwidth edge aids larger batches for real-time serving.
Superior 6.5 TFLOPS compute accelerates gradient updates versus 5.3 TFLOPS. GTX 1070 handles iterative workloads faster despite shared 8 GB VRAM.
Both offer 8 GB GDDR5 for image generation; GTX 1070's 6.5 TFLOPS edges speed, but Quadro P4000's $0.51/hr availability suits experimentation.
Quadro P4000's 105W TDP and professional optimizations pair with 5.3 TFLOPS for sustained simulations. Cloud offers at $0.51/hr ensure reliability.
Frequently Asked Questions
Which has higher performance: GTX 1070 or Quadro P4000?▾
The GTX 1070 leads with 6.5 TFLOPS in FP16 and FP32, 22 percent above the Quadro P4000's 5.3 TFLOPS. This translates to faster training and inference across workloads.
How does memory bandwidth compare between GTX 1070 and Quadro P4000?▾
GTX 1070 provides 256 GB/s, surpassing Quadro P4000's 243 GB/s. The difference aids larger batch sizes in memory-intensive tasks like model inference.
What is the power consumption of these GPUs?▾
GTX 1070 draws 150W TDP, while Quadro P4000 uses 105W. Lower TDP on Quadro enables denser cloud deployments and reduced cooling needs.
Is Quadro P4000 available on cloud providers?▾
Yes, Quadro P4000 lists from $0.51 per hour average across six offers. GTX 1070 has no current live availability.
Do both GPUs have the same VRAM?▾
Both feature 8 GB GDDR5, sufficient for small models. Limits apply to large LLMs beyond this capacity.
Which is better for ML training?▾
GTX 1070 excels with 6.5 TFLOPS FP32 versus 5.3 TFLOPS, shortening training cycles. Bandwidth at 256 GB/s further optimizes batches.
Which is cheaper to rent, the GTX 1070 or the Quadro P4000?▾
Cloud rental prices for both the GTX 1070 and Quadro P4000 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 GTX 1070 have compared to the Quadro P4000?▾
The GTX 1070 has 8 GB of GDDR5 memory. The Quadro P4000 has 8 GB of GDDR5 memory.
Can I find GTX 1070 and Quadro P4000 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 GTX 1070 and the Quadro P4000?▾
The GTX 1070 uses the Pascal architecture (2016) while the Quadro P4000 uses Pascal (2017). The GTX 1070 delivers 1.2x the FP16 throughput and 1.1x the memory bandwidth of the Quadro P4000.