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 Ti SUPER outperforms the GTX 1080 by a factor of 3.3 in FP16 and FP32 compute with 29.1 TFLOPS versus 8.9 TFLOPS. This delta translates to significantly faster matrix multiplications essential for deep learning: training sessions complete in about one-third the time on the RTX 4070 Ti SUPER, while inference latency drops proportionally for real-time applications. Both GPUs maintain equal FP16 and FP32 rates, suiting mixed-precision workflows without penalty.
Memory bandwidth stands out as another key differentiator: 504 GB/s on the RTX 4070 Ti SUPER versus 320 GB/s on the GTX 1080 supports larger batch sizes in training, reducing overhead from data transfers. For instance, models requiring high throughput benefit from the 57 percent bandwidth increase, allowing batch sizes up to 50 percent larger before bottlenecks occur. The RTX 4070 Ti SUPER's 12 GB VRAM edges out the GTX 1080's 8 to 11 GB, accommodating modestly larger models in inference without swapping to system RAM. TDP rises modestly to 200W from 180W, but efficiency gains per watt favor the newer architecture in sustained workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GTX 1080
| 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 Ti 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
The GTX 1080 suits legacy applications or extremely light workloads where 8.9 TFLOPS suffices, such as basic inference on small models under 8 GB. Its single cloud offer at $0.30 per hour appeals if RTX 4070 Ti SUPER availability is limited. Lower 180W TDP fits power-constrained environments, avoiding the 200W draw of the RTX 4070 Ti SUPER.
When to Choose the RTX 4070 Ti SUPER
The RTX 4070 Ti SUPER excels in modern AI tasks demanding high throughput, with 29.1 TFLOPS enabling rapid LLM fine-tuning or Stable Diffusion generation. Superior 504 GB/s bandwidth and 12 GB VRAM handle larger batches and models efficiently. At an average $0.17 per hour across two providers, it offers better performance per dollar than the GTX 1080's $0.30 rate.
Use Cases
The RTX 4070 Ti SUPER's 29.1 TFLOPS and 504 GB/s bandwidth enable faster training of large language models with bigger batches compared to the GTX 1080's 8.9 TFLOPS and 320 GB/s.
Higher 29.1 TFLOPS on the RTX 4070 Ti SUPER reduces inference latency for LLMs, while 12 GB VRAM supports larger models without issues seen on the GTX 1080's 8 to 11 GB.
RTX 4070 Ti SUPER handles fine-tuning efficiently with 3.3 times the compute power and better bandwidth for gradient updates, outperforming the GTX 1080 in iteration speed.
The RTX 4070 Ti SUPER generates images faster due to 29.1 TFLOPS FP16 performance and 504 GB/s bandwidth, ideal for diffusion models versus the GTX 1080's limitations.
Light simulations fit the GTX 1080's 8.9 TFLOPS at lower cost, but compute-intensive tasks leverage the RTX 4070 Ti SUPER's 29.1 TFLOPS for acceleration.
Frequently Asked Questions
Which GPU has more VRAM: GTX 1080 or RTX 4070 Ti SUPER?▾
The RTX 4070 Ti SUPER provides 12 GB GDDR6X VRAM. The GTX 1080 offers 8 to 11 GB GDDR5X, making the newer GPU better for larger models.
What is the performance difference in TFLOPS?▾
RTX 4070 Ti SUPER achieves 29.1 TFLOPS in FP16 and FP32. GTX 1080 delivers 8.9 TFLOPS in both, a 3.3 times advantage for the RTX 4070 Ti SUPER.
How do cloud prices compare?▾
GTX 1080 pricing starts at $0.30 per hour averaging $0.30 across one offer. RTX 4070 Ti SUPER begins at $0.09 per hour averaging $0.17 across two offers.
Which has higher memory bandwidth?▾
RTX 4070 Ti SUPER bandwidth reaches 504 GB/s with GDDR6X. GTX 1080 provides 320 GB/s with GDDR5X, supporting larger batches on the newer card.
What are the TDPs of these GPUs?▾
GTX 1080 TDP is 180W. RTX 4070 Ti SUPER TDP is 200W, a minor increase for substantial performance gains.
Which architecture is newer?▾
RTX 4070 Ti SUPER uses 2023 Ada Lovelace architecture. GTX 1080 relies on 2016 Pascal, explaining efficiency differences.
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.