Specifications Compared
| Spec | RTX-2080 | RTX-4080 |
|---|---|---|
| TDP | 215W | 320W |
| VRAM | 8-11 GB | 16 GB |
| CUDA Cores | 2,944 | 9,728 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 368 | 304 |
| FP16 Performance | 10.1 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 10.1 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 616 GB/s | 717 GB/s |
Performance Analysis
Compute disparity defines these GPUs: the RTX 4080 SUPER achieves 48.7 TFLOPS in FP16 and FP32, versus the RTX 2080 Ti's 10.1 TFLOPS, yielding a 4.8 times advantage in tensor core operations. This accelerates deep learning training by reducing epoch times and enhances inference speeds for real-time applications in frameworks optimized for half-precision.
Memory traits amplify the gap. The RTX 4080 SUPER's 717 GB/s bandwidth exceeds the 616 GB/s of the RTX 2080 Ti, permitting larger batch sizes and mitigating bottlenecks in data-heavy workflows like image generation or simulations. Coupled with 16 GB VRAM against 11 GB, it loads expansive models without fragmentation, though its 320W TDP contrasts the RTX 2080 Ti's 215W for higher power draw.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2080 Ti
| 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 |
RTX 4080 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 2080 Ti
Select the RTX 2080 Ti for budget-constrained projects with modest demands. Its starting cloud price of $0.06 per hour and average $0.11 per hour across 6 offers deliver value for small model inference or prototyping where 11 GB VRAM and 10.1 TFLOPS suffice. The 215W TDP also lowers operational costs in power-sensitive environments.
When to Choose the RTX 4080 SUPER
The RTX 4080 SUPER suits high-throughput needs with 48.7 TFLOPS FP16/FP32 performance and 16 GB VRAM. Despite $0.17 per hour starting and $0.32 per hour average pricing over 3 offers, it completes demanding tasks like large-scale training far quicker, amortizing costs through efficiency.
Use Cases
The RTX 4080 SUPER's 48.7 TFLOPS FP16 performance and 16 GB VRAM handle large language models more effectively than the RTX 2080 Ti's 10.1 TFLOPS and 11 GB.
Higher 717 GB/s bandwidth on the RTX 4080 SUPER supports greater inference throughput and batch sizes compared to the RTX 2080 Ti's 616 GB/s.
Small fine-tuning tasks fit the RTX 2080 Ti's 11 GB VRAM at low $0.06 per hour cost, but the RTX 4080 SUPER accelerates larger ones with 48.7 TFLOPS.
The RTX 4080 SUPER's 16 GB VRAM and 4.8 times FP16 speed generate higher-resolution images faster than the RTX 2080 Ti's capabilities.
48.7 TFLOPS FP32 on the RTX 4080 SUPER outperforms the RTX 2080 Ti's 10.1 TFLOPS for compute-intensive simulations requiring high bandwidth.
Frequently Asked Questions
Which GPU is faster for AI tasks?▾
The RTX 4080 SUPER leads with 48.7 TFLOPS in FP16 and FP32, 4.8 times the RTX 2080 Ti's 10.1 TFLOPS. This boosts training and inference speeds significantly.
What are the VRAM differences?▾
RTX 4080 SUPER has 16 GB GDDR6X versus RTX 2080 Ti's 11 GB GDDR6. Bandwidth reaches 717 GB/s on the newer GPU against 616 GB/s, aiding larger models.
How do cloud prices compare?▾
RTX 2080 Ti starts at $0.06 per hour, averaging $0.11 per hour across 6 offers. RTX 4080 SUPER begins at $0.17 per hour, averaging $0.32 per hour over 3 offers.
Which has lower power consumption?▾
The RTX 2080 Ti draws 215W TDP, lower than the RTX 4080 SUPER's 320W. This favors the older GPU in power-limited cloud instances.
Can both handle modern ML models?▾
RTX 4080 SUPER's 16 GB VRAM fits most current models, unlike RTX 2080 Ti's 11 GB limit. Compute at 48.7 TFLOPS ensures better performance.
What architectures do they use?▾
RTX 2080 Ti employs Turing from 2018, while RTX 4080 SUPER uses Ada Lovelace from 2022. The latter incorporates advanced tensor cores for AI.
Which is cheaper to rent, the RTX 2080 or the RTX 4080?▾
Cloud rental prices for both the RTX 2080 and RTX 4080 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 4080?▾
The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find RTX 2080 and RTX 4080 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 4080?▾
The RTX 2080 uses the Turing architecture (2018) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 4.8x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2080.