Specifications Compared
| Spec | RTX-2060 | RTX-3080 |
|---|---|---|
| TDP | 160W | 320W |
| VRAM | 6-12 GB | 10-12 GB |
| CUDA Cores | 1,920 | 8,704 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 240 | 272 |
| FP16 Performance | 6.5 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 29.8 TFLOPS |
| Memory Bandwidth | 336 GB/s | 760 GB/s |
Performance Analysis
The RTX 3080 Ti's 29.8 TFLOPS in FP16 and FP32 vastly outpaces the RTX 2060 SUPER's 6.5 TFLOPS, translating to roughly 4.6 times faster matrix operations critical for neural network training and inference. In training scenarios, this delta accelerates convergence on large models; for inference, it reduces latency on high-throughput deployments. Both GPUs maintain equal FP16 and FP32 rates, but the Ampere architecture's efficiency amplifies real-world gains in mixed-precision workflows.
Memory bandwidth defines batch size capabilities: the RTX 3080 Ti's 760 GB/s handles larger batches than the RTX 2060 SUPER's 336 GB/s, minimizing data transfer bottlenecks in deep learning. With 10-12 GB GDDR6X VRAM versus 6-12 GB GDDR6, the RTX 3080 Ti supports bigger models without swapping, ideal for transformer-based tasks. Power draw doubles at 320W for the RTX 3080 Ti compared to 160W, demanding robust cooling but enabling sustained peak performance.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the RTX 2060 SUPER
The RTX 2060 SUPER suits low-power edge deployments with its 160W TDP, fitting constrained environments like laptops or small servers. It handles lightweight inference or fine-tuning on models under 6 GB VRAM effectively at 6.5 TFLOPS, especially where no cloud rental is needed and local hardware suffices.
When to Choose the RTX 3080 Ti
The RTX 3080 Ti excels in demanding cloud workloads, leveraging 29.8 TFLOPS and 760 GB/s bandwidth for rapid LLM training or Stable Diffusion generation. Affordable pricing from $0.08 per hour makes it ideal for scalable projects requiring 10-12 GB VRAM capacity.
Use Cases
The RTX 3080 Ti's 29.8 TFLOPS and 760 GB/s bandwidth enable faster training on large models compared to the RTX 2060 SUPER's 6.5 TFLOPS and 336 GB/s.
Higher 29.8 TFLOPS supports low-latency inference at scale; 10-12 GB VRAM handles bigger batches than the RTX 2060 SUPER's 6-12 GB.
RTX 3080 Ti's Ampere efficiency and 760 GB/s bandwidth speed up iterations over the RTX 2060 SUPER's Turing limits.
29.8 TFLOPS accelerates image generation; GDDR6X VRAM outperforms GDDR6 for high-resolution outputs.
Superior FP32 performance at 29.8 TFLOPS and higher bandwidth suit simulations better than 6.5 TFLOPS.
Frequently Asked Questions
Which GPU is faster for machine learning?▾
The RTX 3080 Ti achieves 29.8 TFLOPS in FP16 and FP32, over 4.5 times the RTX 2060 SUPER's 6.5 TFLOPS. This results in significantly quicker training and inference times. Bandwidth of 760 GB/s further boosts data-heavy tasks.
What is the VRAM difference?▾
RTX 3080 Ti provides 10-12 GB GDDR6X, while RTX 2060 SUPER offers 6-12 GB GDDR6. The faster GDDR6X suits memory-intensive models. This impacts maximum batch sizes in deep learning.
How do power requirements compare?▾
RTX 2060 SUPER draws 160W TDP, lower than RTX 3080 Ti's 320W. Lower power aids portable setups. Higher TDP enables RTX 3080 Ti's peak 29.8 TFLOPS.
Is there cloud pricing for these GPUs?▾
No live offers exist for RTX 2060 SUPER. RTX 3080 Ti starts at $0.08 per hour, averaging $0.14 per hour across four providers. This favors cloud rentals for the RTX 3080 Ti.
Which architecture is newer?▾
RTX 3080 Ti uses Ampere from 2020, succeeding Turing in RTX 2060 SUPER from 2019. Ampere delivers 29.8 TFLOPS versus 6.5 TFLOPS. Newer design improves ray tracing and tensor cores.
Can RTX 2060 SUPER handle modern AI tasks?▾
It manages small-scale tasks with 6.5 TFLOPS and 336 GB/s bandwidth. Larger models exceed its 6-12 GB VRAM. RTX 3080 Ti at 29.8 TFLOPS is better for current demands.
Which is cheaper to rent, the RTX 2060 or the RTX 3080?▾
Cloud rental prices for both the RTX 2060 and RTX 3080 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 RTX 2060 have compared to the RTX 3080?▾
The RTX 2060 has 6 to 12 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find RTX 2060 and RTX 3080 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 RTX 2060 and the RTX 3080?▾
The RTX 2060 uses the Turing architecture (2019) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 4.6x the FP16 throughput and 2.3x the memory bandwidth of the RTX 2060.