Specifications Compared
| Spec | GTX-1070 | QUADRO-RTX-6000 |
|---|---|---|
| TDP | 150W | 260W |
| VRAM | 8 GB | 24 GB |
| CUDA Cores | 1,920 | 4,608 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 6.5 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 16.3 TFLOPS |
| Memory Bandwidth | 256 GB/s | 672 GB/s |
Performance Analysis
Compute performance favors the Quadro RTX 6000 decisively: its 16.3 TFLOPS in FP32 exceeds the GTX 1070's 6.5 TFLOPS by 2.5 times, accelerating training and inference workloads proportionally. The identical FP16 to FP32 ratio of 1:1 on both enables efficient half-precision operations, but the Quadro RTX 6000's higher baseline means faster matrix multiplications in deep learning frameworks. Real-world training benefits from this delta through reduced epoch times on datasets like ImageNet.
Memory bandwidth disparity impacts batch sizes profoundly: 672 GB/s on the Quadro RTX 6000 versus 256 GB/s on the GTX 1070 allows 2.6 times larger batches without throughput bottlenecks, vital for stable gradient updates in optimization. The 24 GB GDDR6 VRAM supports models up to billions of parameters, while 8 GB GDDR5 limits the GTX 1070 to smaller architectures like early BERT variants, often requiring gradient checkpointing or model parallelism.
Power efficiency reveals another angle: the GTX 1070's 150W TDP yields 43.3 TFLOPS per watt in FP32, outperforming the Quadro RTX 6000's 62.7 TFLOPS total but 24.2 per watt due to higher demands. Multi-GPU setups gain from NVLink on the Quadro RTX 6000, enabling scalable interconnect speeds absent on the GTX 1070.
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When to Choose the GTX 1070
The GTX 1070 excels in power-constrained environments: its 150W TDP fits compact desktops or laptops without robust cooling, ideal for hobbyist inference on models under 8 GB VRAM like MobileNet. Users running lightweight fine-tuning on datasets fitting within 256 GB/s bandwidth prefer it for cost savings over newer hardware.
Legacy gaming rigs or entry-level ML experimentation favor the GTX 1070, where 6.5 TFLOPS suffices for real-time tasks without NVLink needs.
When to Choose the Quadro RTX 6000
Professional workflows demand the Quadro RTX 6000: 24 GB VRAM handles large-scale simulations or Stable Diffusion with high-resolution latents, far beyond the GTX 1070's 8 GB limit. NVLink interconnect supports multi-GPU rendering in CAD software, boosting throughput.
Training LLMs or scientific computing benefits from 16.3 TFLOPS and 672 GB/s bandwidth, enabling bigger batches and complex models unattainable on Pascal hardware.
Use Cases
The Quadro RTX 6000's 24 GB VRAM accommodates large language models during training, unlike the GTX 1070's 8 GB limit. Its 16.3 TFLOPS FP32 doubles effective throughput over 6.5 TFLOPS.
Inference on production-scale LLMs requires 24 GB VRAM for batching, provided by the Quadro RTX 6000. Bandwidth of 672 GB/s ensures low latency versus 256 GB/s.
Fine-tuning mid-sized models needs 16.3 TFLOPS and high bandwidth for efficient epochs. The GTX 1070's constraints force smaller batches.
Generating high-res images demands 24 GB VRAM to avoid out-of-memory errors. Quadro RTX 6000's Turing architecture optimizes tensor cores better than Pascal.
Simulations with large datasets leverage NVLink and 672 GB/s bandwidth. 16.3 TFLOPS FP32 accelerates HPC workloads over 6.5 TFLOPS.
Frequently Asked Questions
What is the VRAM difference between GTX 1070 and Quadro RTX 6000?▾
The GTX 1070 has 8 GB GDDR5 VRAM. The Quadro RTX 6000 provides 24 GB GDDR6, tripling capacity for larger models. This gap affects handling of datasets over 8 GB.
How do their FP32 performances compare?▾
GTX 1070 delivers 6.5 TFLOPS FP32. Quadro RTX 6000 achieves 16.3 TFLOPS, 2.5 times higher for training acceleration. FP16 matches this ratio at 1:1 on both.
What are the memory bandwidth specs?▾
GTX 1070 offers 256 GB/s bandwidth. Quadro RTX 6000 reaches 672 GB/s, enabling 2.6 times larger batch sizes. This improves throughput in data-heavy tasks.
Which has lower power consumption?▾
GTX 1070 uses 150W TDP. Quadro RTX 6000 requires 260W, suiting high-end PSUs. Efficiency favors GTX 1070 at 43.3 TFLOPS per watt versus 24.2.
Do they support multi-GPU interconnects?▾
GTX 1070 lacks dedicated interconnect beyond PCIe. Quadro RTX 6000 includes NVLink for faster GPU-to-GPU communication. This aids scalable professional setups.
What architectures do they use?▾
GTX 1070 employs Pascal from 2016. Quadro RTX 6000 uses Turing from 2018 with RT cores. Turing enhances ray tracing and tensor performance.
Which is cheaper to rent, the GTX 1070 or the Quadro RTX 6000?▾
Cloud rental prices for both the GTX 1070 and Quadro RTX 6000 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 6000?▾
The GTX 1070 has 8 GB of GDDR5 memory. The Quadro RTX 6000 has 24 GB of GDDR6 memory.
Can I find GTX 1070 and Quadro RTX 6000 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 6000?▾
The GTX 1070 uses the Pascal architecture (2016) while the Quadro RTX 6000 uses Turing (2018). The Quadro RTX 6000 delivers 2.5x the FP16 throughput and 2.6x the memory bandwidth of the GTX 1070.