Specifications Compared
| Spec | RTX-2080 | RTX-5070 |
|---|---|---|
| TDP | 215W | 250W |
| VRAM | 8-11 GB | 12 GB |
| CUDA Cores | 2,944 | 6,144 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Turing | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 368 | 192 |
| FP16 Performance | 10.1 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 10.1 TFLOPS | 40.6 TFLOPS |
| Memory Bandwidth | 616 GB/s | 448 GB/s |
Performance Analysis
The RTX 5070 demonstrates superior raw compute power: 40.6 TFLOPS in FP16 and FP32 compared to the RTX 2080's 10.1 TFLOPS in both metrics. This fourfold increase translates to significantly faster machine learning training and inference times, as FP16 handles mixed-precision training effectively while FP32 supports general-purpose floating-point operations.
Memory capacity favors the RTX 5070 with 12 GB GDDR7 versus 8 to 11 GB GDDR6 on the RTX 2080, allowing larger models or bigger batch sizes without swapping to system RAM. However, the RTX 2080's higher 616 GB/s bandwidth exceeds the RTX 5070's 448 GB/s, which impacts bandwidth-bound tasks like large-batch training where data transfer rates limit throughput.
Power consumption differs modestly: the RTX 5070 requires 250W TDP against 215W for the RTX 2080, potentially affecting multi-GPU setups or power-constrained cloud instances. Newer Blackwell architecture in the RTX 5070 likely includes optimizations for AI accelerators absent in Turing, enhancing efficiency for modern deep learning frameworks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
When to Choose the RTX 2080
The RTX 2080 suits budget-conscious users prioritizing cost over peak compute. At an average cloud price of $0.09 per hour from $0.05 per hour across 6 offers, it undercuts the RTX 5070's $0.21 per hour average. Its 616 GB/s bandwidth excels in workloads sensitive to memory throughput, such as certain scientific simulations or legacy applications compatible with NVLink.
Scenarios with power limits favor the 215W TDP, and 8 to 11 GB VRAM suffices for smaller models where 10.1 TFLOPS meets requirements without overprovisioning.
When to Choose the RTX 5070
Opt for the RTX 5070 in compute-intensive AI tasks demanding high throughput. Its 40.6 TFLOPS FP16 and FP32 performance quadruples the RTX 2080's 10.1 TFLOPS, accelerating training and inference for large neural networks. The 12 GB GDDR7 VRAM supports bigger models that exceed the RTX 2080's 8 to 11 GB capacity.
Blackwell architecture benefits modern software stacks with enhanced tensor cores, justifying the $0.21 per hour average cloud cost for productivity gains in deep learning pipelines.
Use Cases
The RTX 5070's 40.6 TFLOPS FP16 performance and 12 GB VRAM handle large language model training far better than the RTX 2080's 10.1 TFLOPS and 8 to 11 GB.
RTX 5070 provides 40.6 TFLOPS for rapid inference on bigger batches, surpassing RTX 2080's 10.1 TFLOPS while 12 GB VRAM accommodates full model loading.
Fine-tuning benefits from RTX 5070's fourfold compute increase to 40.6 TFLOPS and extra VRAM for parameter-efficient methods over RTX 2080.
Image generation workloads leverage RTX 5070's 40.6 TFLOPS and Blackwell optimizations for faster diffusion steps compared to RTX 2080's 10.1 TFLOPS.
RTX 2080's 616 GB/s bandwidth outperforms RTX 5070's 448 GB/s in data-heavy simulations, with lower $0.09 per hour average cost suiting extended runs.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 5070 offers 40.6 TFLOPS in FP16 and FP32, compared to the RTX 2080's 10.1 TFLOPS in both. This results in approximately four times faster processing for AI tasks. Bandwidth remains higher on RTX 2080 at 616 GB/s versus 448 GB/s.
How do VRAM capacities compare?▾
RTX 5070 provides 12 GB GDDR7 VRAM, exceeding the RTX 2080's 8 to 11 GB GDDR6. Larger VRAM on RTX 5070 supports bigger models without fragmentation. This difference aids deep learning applications requiring substantial memory.
What are the cloud pricing differences?▾
RTX 2080 starts at $0.05 per hour with $0.09 average across 6 offers, cheaper than RTX 5070's $0.08 start and $0.21 average across 6 offers. Cost savings favor RTX 2080 for light workloads. Performance justifies RTX 5070 premium for intensive use.
Does memory bandwidth differ significantly?▾
RTX 2080 achieves 616 GB/s bandwidth, higher than RTX 5070's 448 GB/s. Superior bandwidth on RTX 2080 benefits large-batch operations. RTX 5070 compensates with compute and VRAM advantages.
Which has lower power consumption?▾
RTX 2080 uses 215W TDP, lower than RTX 5070's 250W. This suits power-limited environments. Higher TDP on RTX 5070 correlates with its 40.6 TFLOPS performance.
Are both suitable for PCIe setups?▾
Both GPUs support PCIe form factors exclusively. RTX 2080 adds NVLink interconnect option. Compatibility ensures easy cloud deployment for either.
Which is cheaper to rent, the RTX 2080 or the RTX 5070?▾
Cloud rental prices for both the RTX 2080 and RTX 5070 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 2080 have compared to the RTX 5070?▾
The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find RTX 2080 and RTX 5070 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 2080 and the RTX 5070?▾
The RTX 2080 uses the Turing architecture (2018) while the RTX 5070 uses Blackwell (2025). The RTX 5070 delivers 4.0x the FP16 throughput and 1.4x the memory bandwidth of the RTX 2080.