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 demonstrates superior compute capability over the GTX 1070 Ti with 12.6 TFLOPS in both FP16 and FP32, compared to 8.9 TFLOPS: this yields approximately 42 percent higher throughput for deep learning training and inference tasks. Higher FP16 performance accelerates half-precision model optimization, common in modern frameworks like TensorFlow or PyTorch.
Memory bandwidth stands out as a key differentiator: the Quadro P6000's 432 GB/s versus 256 GB/s enables larger batch sizes in training loops, minimizing data loading bottlenecks and improving utilization. The 24 GB VRAM on the Quadro P6000 supports datasets and models that exceed the GTX 1070 Ti's 8 GB limit, preventing out-of-memory errors in large-scale simulations or generative AI.
Power efficiency favors the GTX 1070 Ti at 180W TDP versus 250W, but the Quadro P6000's advantages dominate in bandwidth-intensive scenarios like scientific computing.
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 Ti
The GTX 1070 Ti suits budget-conscious users or power-limited setups with its 180W TDP and 8 GB GDDR5 VRAM. It excels in lightweight inference or gaming repurposed for small ML models fitting within 8 GB, where no cloud offers exist, suggesting local deployment advantages. Scenarios include edge computing or hobbyist fine-tuning without VRAM demands.
When to Choose the Quadro P6000
Opt for the Quadro P6000 in professional workflows requiring 24 GB GDDR5X VRAM for large datasets or models. Its 432 GB/s bandwidth and 12.6 TFLOPS FP16/FP32 performance handle high-batch training and visualization tasks efficiently. Cloud availability at $1.10 per hour across 6 offers makes it practical for scalable compute.
Use Cases
The Quadro P6000's 24 GB VRAM accommodates larger language models without out-of-memory issues, unlike the GTX 1070 Ti's 8 GB limit. Its 432 GB/s bandwidth supports bigger batches for efficient training.
24 GB VRAM on the Quadro P6000 enables concurrent inferences on bigger models, with 12.6 TFLOPS FP16 outperforming the GTX 1070 Ti's 8.9 TFLOPS. Higher bandwidth reduces latency in serving pipelines.
Small models fit in the GTX 1070 Ti's 8 GB VRAM for quick local fine-tuning at 180W TDP. Larger adapters demand the Quadro P6000's 24 GB and 432 GB/s bandwidth.
Quadro P6000's 24 GB VRAM handles high-resolution image generation and upscaling, avoiding swaps on GTX 1070 Ti's 8 GB. 12.6 TFLOPS accelerates diffusion steps.
The Quadro P6000's 432 GB/s bandwidth and 24 GB VRAM excel in simulations with large matrices, surpassing the GTX 1070 Ti's 256 GB/s and 8 GB constraints.
Frequently Asked Questions
What is the VRAM difference between GTX 1070 Ti and Quadro P6000?▾
The GTX 1070 Ti has 8 GB GDDR5 VRAM, while the Quadro P6000 provides 24 GB GDDR5X. This three-fold increase makes the P6000 suitable for memory-intensive tasks like large model training.
How do their TFLOPS compare?▾
Both FP16 and FP32 performance reach 8.9 TFLOPS on the GTX 1070 Ti and 12.6 TFLOPS on the Quadro P6000. The P6000 offers 42 percent higher compute for AI workloads.
What are the memory bandwidth specs?▾
GTX 1070 Ti delivers 256 GB/s, compared to Quadro P6000's 432 GB/s. Higher bandwidth on the P6000 supports larger batch sizes in deep learning.
Which has lower power consumption?▾
The GTX 1070 Ti uses 180W TDP, lower than the Quadro P6000's 250W. This favors the 1070 Ti in power-constrained environments.
Is cloud pricing available for these GPUs?▾
No live offers exist for GTX 1070 Ti, while Quadro P6000 starts at $1.10 per hour across 6 providers. P6000 suits on-demand cloud rentals.
Are they suitable for modern ML training?▾
Quadro P6000's 24 GB VRAM fits medium LLMs better than GTX 1070 Ti's 8 GB. Both lag behind Ampere/Ada for efficiency but work for legacy setups.
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.