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
RTX 4070 Ti's 29.1 TFLOPS in FP16 and FP32 surpasses GTX 1080's 8.9 TFLOPS by a factor of 3.27, enabling faster machine learning training cycles and inference latencies in cloud environments. This delta means training a model on RTX 4070 Ti completes over three times quicker than on GTX 1080 for FP16-heavy workloads common in deep learning. Elevated memory bandwidth of 504 GB/s on RTX 4070 Ti, versus 320 GB/s on GTX 1080, supports larger batch sizes during training, minimizing data loading bottlenecks and enhancing throughput. The 12 GB VRAM capacity on RTX 4070 Ti accommodates bigger models than GTX 1080's 8-11 GB, reducing out-of-memory errors in inference pipelines. TDP rises slightly to 200W from 180W, preserving feasibility for dense cloud racks.
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
| 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 fits legacy applications optimized for Pascal architecture where Ada Lovelace lacks full compatibility. Its 180W TDP suits power-constrained cloud instances, and 8.9 TFLOPS handles basic inference or scientific simulations without excess capacity. At $0.30 per hour across 1 offer, it serves as a fallback when RTX 4070 Ti's 5 offers prove unavailable.
When to Choose the RTX 4070 Ti
RTX 4070 Ti dominates intensive workloads like model training, leveraging 29.1 TFLOPS and 504 GB/s bandwidth for superior speed. The 12 GB VRAM enables handling of large-scale LLMs or diffusion models infeasible on GTX 1080's 8-11 GB. Averaging $0.22 per hour from $0.08 across 5 offers, it optimizes cost-performance ratios in dynamic cloud deployments.
Use Cases
RTX 4070 Ti's 29.1 TFLOPS FP16 performance exceeds GTX 1080's 8.9 TFLOPS by 3.27 times, accelerating large model training. Higher 504 GB/s bandwidth supports bigger batches.
The 12 GB VRAM and 29.1 TFLOPS on RTX 4070 Ti handle high-throughput inference better than GTX 1080's 8-11 GB and 8.9 TFLOPS. Lower latency results from superior specs.
RTX 4070 Ti's 504 GB/s bandwidth and 29.1 TFLOPS enable efficient fine-tuning of mid-sized models. GTX 1080's 320 GB/s limits batch sizes.
RTX 4070 Ti processes diffusion tasks faster with 29.1 TFLOPS and 12 GB VRAM, versus GTX 1080's 8.9 TFLOPS and 8-11 GB. Image generation throughput triples.
Both offer matched FP16 and FP32 rates, but RTX 4070 Ti's 29.1 TFLOPS and 504 GB/s bandwidth outperform GTX 1080's 8.9 TFLOPS and 320 GB/s in simulations.
Frequently Asked Questions
Which GPU has higher cloud rental pricing?▾
GTX 1080 averages $0.30 per hour across 1 offer. RTX 4070 Ti averages $0.22 per hour from $0.08 across 5 offers. RTX 4070 Ti provides better value.
What are the compute performance differences?▾
GTX 1080 delivers 8.9 TFLOPS in FP16 and FP32. RTX 4070 Ti achieves 29.1 TFLOPS in both, a 3.27 times increase. This boosts AI workloads significantly.
How do VRAM and bandwidth compare?▾
GTX 1080 has 8-11 GB GDDR5X at 320 GB/s. RTX 4070 Ti features 12 GB GDDR6X at 504 GB/s. RTX 4070 Ti supports larger models and batches.
Which is better for machine learning training?▾
RTX 4070 Ti excels with 29.1 TFLOPS and 504 GB/s bandwidth. GTX 1080's 8.9 TFLOPS and 320 GB/s lag behind. Training times reduce by over 3 times on RTX 4070 Ti.
What are the TDP ratings?▾
GTX 1080 consumes 180W TDP. RTX 4070 Ti uses 200W TDP. Both suit standard cloud power limits with minimal difference.
Which architecture is newer?▾
GTX 1080 uses Pascal from 2016. RTX 4070 Ti employs Ada Lovelace from 2023. Newer architecture brings efficiency gains in compute and memory.
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.

