Specifications Compared
| Spec | RTX-2060 | RTX-5080 |
|---|---|---|
| TDP | 160W | 360W |
| VRAM | 6-12 GB | 16 GB |
| CUDA Cores | 1,920 | 10,752 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Turing | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 240 | 336 |
| FP16 Performance | 6.5 TFLOPS | 56.3 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 56.3 TFLOPS |
| Memory Bandwidth | 336 GB/s | 960 GB/s |
Performance Analysis
The RTX 5080 provides nearly eight times the compute capability of the RTX 2060 Super: 56.3 TFLOPS compared to 7.2 TFLOPS in FP16 and FP32. This gap accelerates machine learning training and inference, often cutting runtimes by factors of five or more for compute-bound workloads.
Memory bandwidth more than doubles from 448 GB/s to 960 GB/s, supporting larger batch sizes and reducing data transfer bottlenecks. The doubled VRAM capacity, 16 GB versus 8 GB, enables handling bigger models during LLM fine-tuning or Stable Diffusion generation without swapping to system RAM.
The higher 360 W TDP on the RTX 5080 reflects Blackwell's density, yet it delivers better throughput for AI, making it preferable for production-scale inference where speed trumps the RTX 2060 Super's 175 W efficiency in light tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() RunPod | NVIDIA GeForce RTX 5080 16GB VRAM | 16GB | 0 vCPU 0GB RAM | 🌍global | $0.59/GPU/hr |
When to Choose the RTX 2060 SUPER
Select the RTX 2060 Super for budget-conscious local setups running legacy software or small-scale inference. Its 7.2 TFLOPS and 8 GB VRAM suffice for basic tasks like lightweight model serving, and the 175 W TDP fits power-limited desktops. Absence of cloud offers directs it toward owned hardware avoiding rental costs.
When to Choose the RTX 5080
Choose the RTX 5080 for intensive AI workloads demanding high throughput. The 56.3 TFLOPS, 16 GB VRAM, and 960 GB/s bandwidth excel in training large LLMs or high-resolution diffusion, with cloud access from $0.25 per hour enabling on-demand scaling without hardware investment.
Use Cases
RTX 5080's 56.3 TFLOPS and 16 GB VRAM manage large datasets and models efficiently, unlike the RTX 2060 Super's 7.2 TFLOPS and 8 GB constraints.
High 56.3 TFLOPS FP16 performance on RTX 5080 speeds real-time queries; 960 GB/s bandwidth supports bigger batches than RTX 2060 Super's 448 GB/s.
RTX 5080 doubles VRAM to 16 GB and boosts FLOPS to 56.3, ideal for parameter-heavy fine-tuning versus RTX 2060 Super's 8 GB limit.
RTX 5080's 16 GB VRAM and 960 GB/s bandwidth generate high-resolution images faster than RTX 2060 Super's 8 GB and 448 GB/s.
56.3 TFLOPS FP32 on RTX 5080 accelerates simulations; superior bandwidth handles large arrays better than RTX 2060 Super's 7.2 TFLOPS.
Frequently Asked Questions
How much faster is the RTX 5080 than the RTX 2060 Super?▾
The RTX 5080 offers 56.3 TFLOPS FP32 performance, about 7.8 times the RTX 2060 Super's 7.2 TFLOPS. Real-world AI tasks see speedups of 5 to 10 times due to higher bandwidth and VRAM.
What is the VRAM difference between RTX 2060 Super and RTX 5080?▾
RTX 2060 Super has 8 GB GDDR6, while RTX 5080 provides 16 GB GDDR7. This doubles capacity for larger models in training or inference.
Is RTX 5080 available on cloud rentals?▾
RTX 5080 cloud pricing starts at $0.25 per hour, averaging $0.38 per hour across four providers. RTX 2060 Super has no live offers.
Which has higher memory bandwidth: RTX 2060 Super or RTX 5080?▾
RTX 5080 achieves 960 GB/s, more than double the RTX 2060 Super's 448 GB/s. This benefits batch processing in ML workflows.
What are the power requirements for these GPUs?▾
RTX 2060 Super draws 175 W TDP, suitable for modest PSUs. RTX 5080 requires 360 W, demanding stronger cooling and power supplies.
Can RTX 2060 Super handle modern AI tasks?▾
RTX 2060 Super's 7.2 TFLOPS and 8 GB VRAM limit it to small models. RTX 5080's 56.3 TFLOPS and 16 GB excel in current LLM and diffusion needs.
Which is cheaper to rent, the RTX 2060 or the RTX 5080?▾
Cloud rental prices for both the RTX 2060 and RTX 5080 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 5080?▾
The RTX 2060 has 6 to 12 GB of GDDR6 memory. The RTX 5080 has 16 GB of GDDR7 memory.
Can I find RTX 2060 and RTX 5080 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 5080?▾
The RTX 2060 uses the Turing architecture (2019) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 8.7x the FP16 throughput and 2.9x the memory bandwidth of the RTX 2060.
