Specifications Compared
| Spec | GTX-1070 | RTX-2060 |
|---|---|---|
| TDP | 150W | 160W |
| VRAM | 8 GB | 6-12 GB |
| CUDA Cores | 1,920 | 1,920 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 6.5 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 6.5 TFLOPS |
| Memory Bandwidth | 256 GB/s | 336 GB/s |
Performance Analysis
Memory bandwidth presents the most impactful difference: RTX 2060 SUPER achieves 448 GB/s compared to 256 GB/s on GTX 1070, enabling larger batch sizes in deep learning training and reducing data transfer bottlenecks during inference. This allows models with high-resolution inputs, such as Stable Diffusion, to process 75 percent more data per second on the newer GPU.
FP16 and FP32 metrics reveal Turing advantages for AI workloads. GTX 1070 offers 6.5 TFLOPS in both FP16 and FP32, suitable for traditional scientific computing. RTX 2060 SUPER boosts FP32 to 7.2 TFLOPS and FP16 to 14.3 TFLOPS through doubled CUDA core rates, accelerating mixed-precision training by up to 120 percent and inference on transformer models.
TDP implications affect cloud costs: 175 W on RTX 2060 SUPER versus 150 W on GTX 1070 means marginally higher power draw, but superior architecture yields better performance per watt in tensor-accelerated tasks.
Live Cloud Pricing
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When to Choose the GTX 1070
The GTX 1070 suits scenarios prioritizing low power consumption at 150 W TDP and pure FP32 workloads. Scientific computing tasks relying on 6.5 TFLOPS FP32 without mixed precision benefit from its stability in legacy software stacks. Users with strict power budgets in on-premises or edge deployments select it over the 175 W RTX 2060 SUPER.
When to Choose the RTX 2060 SUPER
RTX 2060 SUPER excels in modern AI pipelines leveraging tensor cores for 14.3 TFLOPS FP16 performance. Deep learning training and inference with batch sizes exceeding GTX 1070 limits due to 448 GB/s bandwidth favor this GPU. Content generation like Stable Diffusion runs faster thanks to Turing optimizations.
Use Cases
RTX 2060 SUPER leverages tensor cores for 14.3 TFLOPS FP16, critical for mixed-precision LLM training, versus 6.5 TFLOPS on GTX 1070. Higher 448 GB/s bandwidth supports larger batches.
Turing architecture doubles FP16 performance to 14.3 TFLOPS, enabling faster token generation in LLMs. The 448 GB/s bandwidth handles high-throughput serving better than 256 GB/s.
Fine-tuning benefits from 7.2 TFLOPS FP32 and 14.3 TFLOPS FP16 on RTX 2060 SUPER, accelerating gradient updates. GTX 1070's identical 6.5 TFLOPS metrics lag in efficiency.
448 GB/s bandwidth on RTX 2060 SUPER processes larger image batches quicker than 256 GB/s on GTX 1070. Tensor cores enhance diffusion model inference speed.
Both deliver comparable 6.5 to 7.2 TFLOPS FP32 for simulations. GTX 1070 suffices if power at 150 W TDP is constrained; otherwise RTX 2060 SUPER offers minor gains.
Frequently Asked Questions
Does RTX 2060 SUPER have more VRAM than GTX 1070?▾
Both GPUs feature 8 GB VRAM, but RTX 2060 SUPER uses faster GDDR6 versus GDDR5 on GTX 1070. This provides lower latency alongside 448 GB/s bandwidth compared to 256 GB/s.
Which has better performance for machine learning?▾
RTX 2060 SUPER outperforms with 14.3 TFLOPS FP16 and 7.2 TFLOPS FP32 from Turing tensor cores. GTX 1070 limits to 6.5 TFLOPS in both for Pascal architecture.
What is the power consumption difference?▾
GTX 1070 requires 150 W TDP while RTX 2060 SUPER draws 175 W. The extra power enables 75 percent higher memory bandwidth at 448 GB/s.
Is RTX 2060 SUPER worth it over GTX 1070 for gaming?▾
RTX 2060 SUPER delivers 7.2 TFLOPS FP32 and ray tracing support absent in GTX 1070's 6.5 TFLOPS. Bandwidth at 448 GB/s improves frame rates in modern titles.
Can GTX 1070 handle Stable Diffusion?▾
GTX 1070 manages Stable Diffusion with 8 GB VRAM and 256 GB/s bandwidth but slower than RTX 2060 SUPER's 448 GB/s. Tensor cores on the latter speed up generation significantly.
Which architecture is newer?▾
Turing in RTX 2060 SUPER from 2019 surpasses Pascal in GTX 1070 from 2016. This includes tensor cores boosting FP16 to 14.3 TFLOPS.
Which is cheaper to rent, the GTX 1070 or the RTX 2060?▾
Cloud rental prices for both the GTX 1070 and RTX 2060 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 RTX 2060?▾
The GTX 1070 has 8 GB of GDDR5 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find GTX 1070 and RTX 2060 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 RTX 2060?▾
The GTX 1070 uses the Pascal architecture (2016) while the RTX 2060 uses Turing (2019). The RTX 2060 delivers 1.0x the FP16 throughput and 1.3x the memory bandwidth of the GTX 1070.