Specifications Compared
| Spec | RTX-2080 | RTX-4070 |
|---|---|---|
| TDP | 215W | 200W |
| VRAM | 8-11 GB | 12 GB |
| CUDA Cores | 2,944 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 368 | 184 |
| FP16 Performance | 10.1 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 10.1 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 616 GB/s | 504 GB/s |
Performance Analysis
Compute prowess defines the primary divide: the RTX 4070 SUPER achieves 35.5 TFLOPS across FP16 and FP32, exceeding the RTX 2080 Ti's 13.5 TFLOPS by 163 percent. For AI training and inference, this delta means the newer GPU processes FP16 workloads over 2.6 times faster, slashing iteration times in model development cycles.
Memory characteristics offer nuance. The RTX 4070 SUPER's 12 GB VRAM edges out the 11 GB on the RTX 2080 Ti, supporting modestly larger models or batch sizes before swapping. However, the Turing card's 616 GB/s bandwidth surpasses 504 GB/s, benefiting memory-intensive operations like large-batch training where data throughput limits speed.
Efficiency gains from Ada Lovelace shine through the 220 W TDP versus 250 W, yielding superior performance per watt for extended inference deployments. PCIe form factor is shared, but NVLink on the RTX 2080 Ti enables specialized multi-GPU scaling absent on the RTX 4070 SUPER.
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 4070 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 2080 Ti
Select the RTX 2080 Ti for budget-driven cloud deployments, where rentals begin at $0.06 per hour averaging $0.10 per hour across four providers, far outpacing availability for the RTX 4070 SUPER. Its 616 GB/s memory bandwidth excels in data-heavy tasks like certain simulations that prioritize throughput over peak flops.
NVLink support suits rare multi-GPU configurations needing direct interconnects, and 11 GB VRAM suffices for many legacy or mid-scale ML pipelines.
When to Choose the RTX 4070 SUPER
The RTX 4070 SUPER suits demanding modern workloads with 35.5 TFLOPS FP16 and FP32 performance, 163 percent above the RTX 2080 Ti's 13.5 TFLOPS, accelerating LLM training and inference substantially.
Newer Ada Lovelace architecture optimizes tensor operations and efficiency at 220 W TDP, paired with 12 GB GDDR6X VRAM for handling contemporary model sizes effectively once cloud offers emerge.
Use Cases
RTX 4070 SUPER's 35.5 TFLOPS FP16 outperforms RTX 2080 Ti's 13.5 TFLOPS by 163 percent, enabling quicker convergence on large models.
Higher 35.5 TFLOPS FP32 on RTX 4070 SUPER reduces latency versus 13.5 TFLOPS on RTX 2080 Ti, critical for real-time serving.
Ada Lovelace efficiency and 12 GB VRAM on RTX 4070 SUPER handle fine-tuning datasets faster than Turing's 11 GB and 13.5 TFLOPS.
RTX 4070 SUPER leverages 35.5 TFLOPS for rapid image generation, surpassing RTX 2080 Ti's capabilities in diffusion model pipelines.
RTX 2080 Ti's 616 GB/s bandwidth supports memory-bound simulations better than 504 GB/s on RTX 4070 SUPER, at lower $0.06 per hour cost.
Frequently Asked Questions
What is the performance difference between RTX 2080 Ti and RTX 4070 SUPER?▾
RTX 4070 SUPER delivers 35.5 TFLOPS in FP16 and FP32, 163 percent more than RTX 2080 Ti's 13.5 TFLOPS. This gap accelerates AI tasks significantly. Memory bandwidth favors RTX 2080 Ti at 616 GB/s over 504 GB/s.
Which has more VRAM: RTX 2080 Ti or RTX 4070 SUPER?▾
RTX 4070 SUPER provides 12 GB GDDR6X compared to 11 GB GDDR6 on RTX 2080 Ti. The extra capacity aids larger models. GDDR6X offers higher effective speeds despite similar bandwidth.
What are the cloud pricing details for these GPUs?▾
RTX 2080 Ti rentals start from $0.06 per hour, averaging $0.10 per hour across four live offers. RTX 4070 SUPER has no live cloud offers currently. Pricing makes RTX 2080 Ti attractive for entry-level use.
How do TDPs compare between RTX 2080 Ti and RTX 4070 SUPER?▾
RTX 4070 SUPER consumes 220 W TDP versus 250 W for RTX 2080 Ti. This yields better efficiency on the newer card. Lower power suits dense cloud racks.
Is RTX 4070 SUPER better for machine learning than RTX 2080 Ti?▾
Yes, RTX 4070 SUPER excels with 35.5 TFLOPS FP16 performance and Ada architecture versus 13.5 TFLOPS on RTX 2080 Ti. It handles training and inference more effectively. VRAM at 12 GB supports bigger batches.
Does RTX 4070 SUPER support NVLink like RTX 2080 Ti?▾
No, RTX 4070 SUPER lacks NVLink interconnect while RTX 2080 Ti includes it. NVLink enables high-speed multi-GPU links on Turing. PCIe suffices for most single-GPU tasks.
Which is cheaper to rent, the RTX 2080 or the RTX 4070?▾
Cloud rental prices for both the RTX 2080 and RTX 4070 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 4070?▾
The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find RTX 2080 and RTX 4070 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 4070?▾
The RTX 2080 uses the Turing architecture (2018) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 2.9x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2080.