Specifications Compared
| Spec | GTX-1070 | QUADRO-RTX-4000 |
|---|---|---|
| TDP | 150W | 160W |
| VRAM | 8 GB | 8 GB |
| CUDA Cores | 1,920 | 2,304 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 6.5 TFLOPS | 7.1 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 7.1 TFLOPS |
| Memory Bandwidth | 256 GB/s | 416 GB/s |
Performance Analysis
Turing architecture in the Quadro RTX 4000 outperforms Pascal in the GTX 1070 through tensor cores, enabling efficient FP16 operations at 7.1 TFLOPS versus 6.5 TFLOPS: this accelerates deep learning training and inference by optimizing matrix multiplications. The memory bandwidth gap proves most impactful: 416 GB/s in the Quadro RTX 4000 versus 256 GB/s allows larger batch sizes in model training, reducing overhead and improving throughput by up to 62 percent in bandwidth-bound scenarios. For inference, higher bandwidth minimizes latency during data transfers, supporting real-time deployments. GDDR6 memory enhances sustained performance under prolonged loads compared to GDDR5. The modest 10W TDP increase to 160W accompanies these gains without excessive power demands. Overall, these specs position the Quadro RTX 4000 for demanding AI pipelines, while the GTX 1070 suffices for lighter tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
When to Choose the GTX 1070
Select the GTX 1070 for on-premises setups where cloud access is unavailable, leveraging its 150W TDP for lower power environments. It handles basic inference or legacy gaming at 6.5 TFLOPS FP32 with 8 GB VRAM, ideal when cost trumps performance. Absence of live cloud offers directs users to physical hardware markets for budget constraints.
When to Choose the Quadro RTX 4000
Opt for the Quadro RTX 4000 in professional workflows requiring certification and cloud scalability, available from $0.56 per hour. Its 416 GB/s bandwidth and Turing tensor cores excel in AI training with larger batches at 7.1 TFLOPS. Deployments benefit from five live offers for flexible scaling.
Use Cases
Quadro RTX 4000's 416 GB/s bandwidth supports larger batches for LLMs, unlike GTX 1070's 256 GB/s limitation. Tensor cores enhance training efficiency at 7.1 TFLOPS FP16.
Higher 416 GB/s bandwidth reduces latency in inference pipelines. Turing architecture provides tensor core acceleration absent in Pascal.
7.1 TFLOPS FP32 and GDDR6 memory handle fine-tuning datasets better than GTX 1070's 6.5 TFLOPS GDDR5 setup.
Tensor cores in Quadro RTX 4000 accelerate diffusion model generation, paired with 62 percent more bandwidth for image processing.
Both offer 8 GB VRAM and similar FP32 at 6.5 to 7.1 TFLOPS for simulations. Choose GTX 1070 for power-sensitive on-prem; Quadro RTX 4000 for cloud.
Frequently Asked Questions
Which GPU has higher performance, GTX 1070 or Quadro RTX 4000?▾
Quadro RTX 4000 leads with 7.1 TFLOPS FP32 and 416 GB/s bandwidth versus GTX 1070's 6.5 TFLOPS and 256 GB/s. This yields better AI throughput. Tensor cores further advantage Turing architecture.
Do they have the same VRAM?▾
Both provide 8 GB VRAM, but Quadro RTX 4000 uses faster GDDR6 while GTX 1070 has GDDR5. Bandwidth differs at 416 GB/s versus 256 GB/s. This impacts large model handling.
What is the power consumption difference?▾
GTX 1070 draws 150W TDP; Quadro RTX 4000 requires 160W. The 10W gap accompanies Turing's performance gains. Both fit standard PCIe power supplies.
Is Quadro RTX 4000 available in the cloud?▾
Quadro RTX 4000 offers start at $0.56 per hour across five providers. GTX 1070 has no live cloud listings. This makes Quadro preferable for rentals.
Which architecture is newer?▾
Quadro RTX 4000 uses 2018 Turing architecture with tensor cores; GTX 1070 relies on 2016 Pascal. Turing excels in ML tasks. Bandwidth jumps from 256 GB/s to 416 GB/s.
Can GTX 1070 handle machine learning?▾
GTX 1070 supports ML at 6.5 TFLOPS FP16/FP32 with 8 GB VRAM, but lacks tensor cores. It suits entry-level inference. Quadro RTX 4000 outperforms for training.
Which is cheaper to rent, the GTX 1070 or the Quadro RTX 4000?▾
Cloud rental prices for both the GTX 1070 and Quadro RTX 4000 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 RTX 4000?▾
The GTX 1070 has 8 GB of GDDR5 memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.
Can I find GTX 1070 and Quadro RTX 4000 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 RTX 4000?▾
The GTX 1070 uses the Pascal architecture (2016) while the Quadro RTX 4000 uses Turing (2018). The Quadro RTX 4000 delivers 1.1x the FP16 throughput and 1.6x the memory bandwidth of the GTX 1070.