Specifications Compared
| Spec | GTX-1070 | QUADRO-P6000 |
|---|---|---|
| TDP | 150W | 250W |
| VRAM | 8 GB | 24 GB |
| CUDA Cores | 1,920 | 3,840 |
| Memory Type | GDDR5 | GDDR5X |
| Architecture | Pascal | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 6.5 TFLOPS | 12.6 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 12.6 TFLOPS |
| Memory Bandwidth | 256 GB/s | 432 GB/s |
Performance Analysis
The Quadro P6000 outperforms the GTX 1070 in raw compute with 12.6 TFLOPS across FP16 and FP32 versus 6.5 TFLOPS. This doubling accelerates training and inference phases in deep learning: training epochs complete faster due to higher throughput in matrix multiplications. Inference latency reduces similarly for real-time applications.
Memory bandwidth presents a key delta: 432 GB/s on the Quadro P6000 versus 256 GB/s on the GTX 1070. Higher bandwidth supports larger batch sizes without bottlenecks, enabling efficient processing of extensive datasets. The Quadro P6000's 24 GB GDDR5X VRAM handles models exceeding 8 GB, preventing out-of-memory errors common on the GTX 1070.
Power draw differs at 250 W for the Quadro P6000 and 150 W for the GTX 1070. This impacts cloud costs and cooling needs, though the Quadro P6000 justifies higher TDP with superior specs for demanding workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | Available |
When to Choose the GTX 1070
The GTX 1070 suits lightweight machine learning prototypes and inference on small models under 8 GB VRAM. Its 150 W TDP fits edge devices or budget cloud instances without live pricing availability. Developers testing basic neural networks benefit from 6.5 TFLOPS performance at lower power draw.
When to Choose the Quadro P6000
The Quadro P6000 excels in professional workflows requiring 24 GB VRAM for large-scale models and datasets. Its 432 GB/s bandwidth and 12.6 TFLOPS compute handle high-batch training effectively. Cloud users access it from $1.10 per hour across six providers for certified workstation tasks.
Use Cases
The Quadro P6000's 24 GB VRAM supports large language models that exceed the GTX 1070's 8 GB limit. Its 12.6 TFLOPS doubles training speed over the GTX 1070's 6.5 TFLOPS.
Quadro P6000 handles inference on bigger batches with 432 GB/s bandwidth versus 256 GB/s. The 24 GB capacity fits deployed LLMs without swapping.
Fine-tuning benefits from Quadro P6000's doubled 12.6 TFLOPS for quicker iterations. Extra VRAM prevents memory constraints on mid-sized models.
GTX 1070 suffices for basic Stable Diffusion at 8 GB VRAM and 6.5 TFLOPS. Quadro P6000 accelerates high-resolution generations with 24 GB and 12.6 TFLOPS.
Quadro P6000's 432 GB/s bandwidth processes large simulations faster than 256 GB/s. Its professional optimizations pair with 24 GB VRAM for complex datasets.
Frequently Asked Questions
What is the VRAM difference between GTX 1070 and Quadro P6000?▾
The GTX 1070 has 8 GB GDDR5 VRAM. The Quadro P6000 provides 24 GB GDDR5X VRAM. This tripling enables larger models on the Quadro P6000.
How do their compute performances compare?▾
Both offer FP16 and FP32 at equal rates: 6.5 TFLOPS on GTX 1070 and 12.6 TFLOPS on Quadro P6000. The Quadro P6000 doubles throughput for training and inference.
What are the power requirements?▾
GTX 1070 draws 150 W TDP. Quadro P6000 requires 250 W TDP. Lower power on GTX 1070 suits constrained environments.
Is Quadro P6000 available on cloud platforms?▾
Quadro P6000 offers start at $1.10 per hour, averaging $1.10 per hour across six providers. GTX 1070 has no live cloud offers.
Which has higher memory bandwidth?▾
Quadro P6000 achieves 432 GB/s with GDDR5X. GTX 1070 reaches 256 GB/s with GDDR5. Bandwidth advantage aids batch processing on Quadro P6000.
Are both GPUs from the same generation?▾
Yes, both use Pascal architecture from 2016. Shared generation ensures compatibility, but Quadro P6000 adds professional features.
Which is cheaper to rent, the GTX 1070 or the Quadro P6000?▾
Cloud rental prices for both the GTX 1070 and Quadro P6000 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 P6000?▾
The GTX 1070 has 8 GB of GDDR5 memory. The Quadro P6000 has 24 GB of GDDR5X memory.
Can I find GTX 1070 and Quadro P6000 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 P6000?▾
The GTX 1070 uses the Pascal architecture (2016) while the Quadro P6000 uses Pascal (2016). The Quadro P6000 delivers 1.9x the FP16 throughput and 1.7x the memory bandwidth of the GTX 1070.