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
Compute performance defines the core disparity: the RTX 4070 Ti achieves 40.1 TFLOPS in FP16 and FP32, dwarfing the GTX 1080 Ti's 11.3 TFLOPS by a factor of 3.55. This gap accelerates machine learning training and inference dramatically; for example, LLM fine-tuning completes over three times faster on the Ada GPU, assuming compatible code. Tensor cores in the newer architecture amplify FP16 efficiency for deep learning.
Memory bandwidth measures 504 GB/s on the RTX 4070 Ti against 484 GB/s on the GTX 1080 Ti, enabling marginally larger batch sizes in bandwidth-limited tasks like Stable Diffusion. The extra 1 GB VRAM on the RTX 4070 Ti further aids handling bigger models without swapping. Overall, performance per watt reaches 0.141 TFLOPS/W for the RTX 4070 Ti versus 0.045 TFLOPS/W for the GTX 1080 Ti.
TDP values of 285 W and 250 W reflect efficient scaling, but cloud pricing underscores the RTX 4070 Ti's value at $0.22 per hour average.
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 Ti
| 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
The GTX 1080 Ti fits niche cases tied to Pascal-specific optimizations or legacy software intolerant to recompilation. Its 484 GB/s bandwidth and 11 GB VRAM suffice for lighter inference on older models. With a stable $0.60 per hour price across one offer, it avoids variability when RTX 4070 Ti stock fluctuates.
Lower 250 W TDP benefits ultra-constrained power budgets, though rare in cloud deployments.
When to Choose the RTX 4070 Ti
The RTX 4070 Ti dominates modern workloads leveraging Ada features like tensor cores for AI acceleration. Its 40.1 TFLOPS FP16/FP32 throughput triples training speeds over the GTX 1080 Ti's 11.3 TFLOPS. Average $0.22 per hour pricing, from $0.08, yields superior cost-performance across five offers.
12 GB VRAM supports expansive models in fine-tuning or inference, with 504 GB/s bandwidth enhancing batch processing.
Use Cases
RTX 4070 Ti's 40.1 TFLOPS FP16 outperforms GTX 1080 Ti's 11.3 TFLOPS by 3.55 times, slashing training times. Higher VRAM aids large datasets.
Ada tensor cores and 40.1 TFLOPS enable high-throughput inference. Pricing at $0.22 per hour average beats $0.60.
3.55-fold FP32 advantage accelerates iterations. 12 GB VRAM handles bigger batches than 11 GB.
504 GB/s bandwidth and 40.1 TFLOPS speed image generation. Superior to 484 GB/s and 11.3 TFLOPS.
RTX 4070 Ti's 40.1 TFLOPS FP32 boosts simulations 3.55 times faster than GTX 1080 Ti.
Frequently Asked Questions
Which is faster for AI workloads, GTX 1080 Ti or RTX 4070 Ti?▾
The RTX 4070 Ti excels with 40.1 TFLOPS FP16 and FP32 versus 11.3 TFLOPS on GTX 1080 Ti. This yields up to 3.55 times faster training and inference. Ada tensor cores provide additional acceleration.
What are the current cloud prices for these GPUs?▾
GTX 1080 Ti pricing starts from $0.60 per hour, averaging $0.60 across one offer. RTX 4070 Ti starts at $0.08 per hour, averaging $0.22 across five offers. The newer GPU offers better value.
How do VRAM and bandwidth compare?▾
RTX 4070 Ti has 12 GB GDDR6X and 504 GB/s bandwidth. GTX 1080 Ti offers 11 GB GDDR5X and 484 GB/s. The differences support larger batches on the RTX model.
Is the RTX 4070 Ti worth the TDP increase?▾
RTX 4070 Ti TDP is 285 W compared to 250 W on GTX 1080 Ti. It delivers 0.141 TFLOPS per watt versus 0.045, justifying the minor increase. Cloud efficiency favors it.
Which GPU for Stable Diffusion in the cloud?▾
RTX 4070 Ti performs best with 40.1 TFLOPS and 12 GB VRAM. It generates images faster than GTX 1080 Ti's 11.3 TFLOPS and 11 GB. Lower $0.22 hourly cost enhances appeal.
Architecture differences impact?▾
Pascal 2017 on GTX 1080 Ti lacks Ada Lovelace 2023 features like advanced tensor cores on RTX 4070 Ti. This boosts ML efficiency by over 3.5 times in 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.

