Specifications Compared
| Spec | GTX-1080 | RTX-4070 |
|---|---|---|
| TDP | 180W | 200W |
| VRAM | 8-11 GB | 12 GB |
| CUDA Cores | 2,560 | 5,888 |
| Memory Type | GDDR5X | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 320 GB/s | 504 GB/s |
Performance Analysis
The RTX 4070 SUPER vastly outperforms the GTX 1080 Ti in raw compute: its 35.4 TFLOPS FP16 and FP32 ratings triple the GTX 1080 Ti's 11.3 TFLOPS, accelerating machine learning training and inference by enabling larger models or faster iterations. For training, this FP16/FP32 delta translates to reduced epoch times, as mixed-precision workflows leverage the higher throughput directly. Inference benefits similarly, with the RTX 4070 SUPER handling more concurrent requests at lower latency.
Memory bandwidth edges higher on the RTX 4070 SUPER at 504 GB/s versus 484 GB/s, supporting modestly larger batch sizes in memory-bound tasks like Stable Diffusion or LLM fine-tuning, where the 12 GB VRAM versus 11 GB further aids model loading. The Ada Lovelace architecture enhances this with superior tensor core efficiency over Pascal, though shader-limited workloads see the full 3.1x uplift. Power efficiency favors the RTX 4070 SUPER at 220W TDP compared to 250W, yielding better perf-per-watt for sustained cloud runs.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GTX 1080 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 4×NVIDIA GeForce GTX 1080 8GB VRAM | 8GB | 0 vCPU 64GB RAM 480GB Storage | Netherlands | $0.30/GPU/hr $1.20/hr total (4×) | Available | ||
LeaderGPU | 8×NVIDIA GeForce GTX 1080 Ti 11GB VRAM | 11GB | 0 vCPU 128GB RAM 480GB Storage | Netherlands | $0.60/GPU/hr $4.80/hr total (8×) | 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 GTX 1080 Ti
Select the GTX 1080 Ti for budget-limited deployments where cloud pricing at $0.60 per hour provides accessible entry. It suits legacy Pascal-optimized applications or light inference on models fitting within 11 GB VRAM, avoiding the RTX 4070 SUPER's current lack of live offers.
When to Choose the RTX 4070 SUPER
Choose the RTX 4070 SUPER for performance-critical workloads requiring 35.4 TFLOPS FP32 or 504 GB/s bandwidth to manage demanding training and larger batches. Its Ada Lovelace features excel in modern AI tasks despite unavailability in current cloud listings, prioritizing future-proofing over immediate cost.
Use Cases
The RTX 4070 SUPER's 35.4 TFLOPS FP16 triples the GTX 1080 Ti's 11.3 TFLOPS, enabling faster epochs on large models. Its 12 GB VRAM supports bigger batches than 11 GB.
Higher 35.4 TFLOPS FP32 on RTX 4070 SUPER reduces latency for high-throughput serving. Bandwidth at 504 GB/s handles more requests versus 484 GB/s.
RTX 4070 SUPER's 3.1x compute advantage speeds iterations, with Ada efficiency outperforming Pascal. 220W TDP sustains longer runs better than 250W.
35.4 TFLOPS FP16 accelerates generation on RTX 4070 SUPER, leveraging 504 GB/s for larger resolutions. Newer architecture boosts image quality features.
GTX 1080 Ti suffices at $0.60/hr for modest FP32 tasks within 11 GB VRAM. RTX 4070 SUPER excels for intensive simulations needing 35.4 TFLOPS.
Frequently Asked Questions
Does the RTX 4070 SUPER outperform the GTX 1080 Ti?▾
Yes, the RTX 4070 SUPER provides 35.4 TFLOPS FP32 compared to 11.3 TFLOPS on the GTX 1080 Ti. This yields over 3x faster compute for AI workloads. Bandwidth stands at 504 GB/s versus 484 GB/s.
What is the VRAM difference between GTX 1080 Ti and RTX 4070 SUPER?▾
The GTX 1080 Ti has 11 GB GDDR5X VRAM, while the RTX 4070 SUPER offers 12 GB GDDR6X. This extra gigabyte aids larger models in inference. Bandwidth supports this at 504 GB/s on the newer card.
Is GTX 1080 Ti cheaper in the cloud?▾
Yes, GTX 1080 Ti lists from $0.60 per hour average across offers. RTX 4070 SUPER has no live cloud pricing currently. It suits cost-sensitive legacy use.
Which has lower TDP: GTX 1080 Ti or RTX 4070 SUPER?▾
The RTX 4070 SUPER consumes 220W TDP versus 250W on GTX 1080 Ti. This improves efficiency at 35.4 TFLOPS versus 11.3 TFLOPS. Sustained runs benefit in clouds.
Can GTX 1080 Ti handle modern LLM fine-tuning?▾
GTX 1080 Ti manages small models within 11 GB VRAM at 11.3 TFLOPS FP16. Larger tasks favor RTX 4070 SUPER's 35.4 TFLOPS and 12 GB. Bandwidth limits batches at 484 GB/s.
What architecture do these GPUs use?▾
GTX 1080 Ti uses Pascal from 2017, RTX 4070 SUPER uses Ada Lovelace from 2024. The generational leap boosts tensor performance. Compute scales from 11.3 to 35.4 TFLOPS.
Which is cheaper to rent, the GTX 1080 or the RTX 4070?▾
Cloud rental prices for both the GTX 1080 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 GTX 1080 have compared to the RTX 4070?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find GTX 1080 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 GTX 1080 and the RTX 4070?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 3.3x the FP16 throughput and 1.6x the memory bandwidth of the GTX 1080.