Specifications Compared
| Spec | RTX-4070 | RTX-4080 |
|---|---|---|
| TDP | 200W | 320W |
| VRAM | 12 GB | 16 GB |
| CUDA Cores | 5,888 | 9,728 |
| Memory Type | GDDR6X | GDDR6X |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 304 |
| FP16 Performance | 29.1 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 29.1 TFLOPS | 48.7 TFLOPS |
| INT8 Performance | 466 TOPS | 780 TOPS |
| Memory Bandwidth | 504 GB/s | 717 GB/s |
Performance Analysis
Compute performance favors the RTX 4080 SUPER clearly: its 48.7 TFLOPS in FP16 and FP32 exceeds the RTX 4070 Ti SUPER's 29.1 TFLOPS by 67 percent, enabling faster neural network training and inference. In training scenarios, this delta translates to quicker convergence on large datasets, while for inference, it supports higher throughput for real-time serving. The identical FP16 and FP32 rates on both GPUs indicate strong shader performance suited to general-purpose computing. Memory bandwidth marks another advantage for the RTX 4080 SUPER: 717 GB/s versus 504 GB/s permits larger batch sizes during training, minimizing data loading bottlenecks and improving utilization. Coupled with 16 GB VRAM against 12 GB, the RTX 4080 SUPER handles bigger models without swapping, whereas the RTX 4070 Ti SUPER suits smaller-scale operations. Power draw reflects this: 320W TDP for the RTX 4080 SUPER demands more cooling than the 200W RTX 4070 Ti SUPER.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 |
RTX 4080 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 4070 Ti SUPER
The RTX 4070 Ti SUPER excels in cost-sensitive deployments where 29.1 TFLOPS and 12 GB VRAM meet requirements. Its pricing from $0.09 per hour and 200W TDP make it ideal for prototyping, lightweight inference, or fine-tuning compact models in resource-limited cloud instances. Developers prioritizing efficiency over peak performance select it for tasks avoiding memory constraints.
When to Choose the RTX 4080 SUPER
Choose the RTX 4080 SUPER for demanding workloads leveraging 48.7 TFLOPS and 16 GB VRAM. Its 717 GB/s bandwidth supports large-batch training and high-resolution generation tasks. At $0.17 per hour starting price, it justifies the premium for production-scale AI pipelines requiring superior throughput.
Use Cases
The RTX 4080 SUPER's 48.7 TFLOPS and 16 GB VRAM handle large language model training with bigger batches better than the 29.1 TFLOPS and 12 GB on the RTX 4070 Ti SUPER.
RTX 4070 Ti SUPER suffices for inference on smaller LLMs at $0.09 per hour, offering 29.1 TFLOPS efficiently without needing the RTX 4080 SUPER's extra capacity.
Higher 717 GB/s bandwidth and 48.7 TFLOPS on RTX 4080 SUPER accelerate fine-tuning of mid-sized models, outperforming the RTX 4070 Ti SUPER's 504 GB/s.
16 GB VRAM and 48.7 TFLOPS enable higher-resolution image generation on RTX 4080 SUPER, surpassing the 12 GB limit of RTX 4070 Ti SUPER.
Both GPUs deliver comparable FP32 performance at 29.1 or 48.7 TFLOPS; select RTX 4070 Ti SUPER for cost savings or RTX 4080 SUPER for intensive simulations.
Frequently Asked Questions
What is the VRAM difference between RTX 4070 Ti SUPER and RTX 4080 SUPER?▾
The RTX 4080 SUPER has 16 GB GDDR6X VRAM, while the RTX 4070 Ti SUPER offers 12 GB GDDR6X. This 4 GB gap affects handling of large models in training or inference.
Which GPU has higher performance in TFLOPS?▾
RTX 4080 SUPER achieves 48.7 TFLOPS in FP16 and FP32, a 67 percent increase over the RTX 4070 Ti SUPER's 29.1 TFLOPS. This boosts training and compute tasks significantly.
How do cloud prices compare?▾
RTX 4070 Ti SUPER starts at $0.09 per hour (average $0.17 per hour across 2 offers), cheaper than RTX 4080 SUPER at $0.17 per hour (average $0.32 per hour across 3 offers). Cost efficiency favors the former for lighter workloads.
What are the TDP ratings?▾
RTX 4070 Ti SUPER consumes 200W TDP, lower than the RTX 4080 SUPER's 320W. This impacts power and cooling needs in cloud deployments.
Which has better memory bandwidth?▾
RTX 4080 SUPER provides 717 GB/s bandwidth versus 504 GB/s on RTX 4070 Ti SUPER. Higher bandwidth supports larger batch sizes in ML training.
Are both GPUs on the same architecture?▾
Yes, both use Ada Lovelace architecture, with RTX 4070 Ti SUPER from 2023 and RTX 4080 SUPER from 2022. They share PCIe form factors.
Which is cheaper to rent, the RTX 4070 or the RTX 4080?▾
Cloud rental prices for both the RTX 4070 and RTX 4080 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 4070 have compared to the RTX 4080?▾
The RTX 4070 has 12 GB of GDDR6X memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find RTX 4070 and RTX 4080 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 4070 and the RTX 4080?▾
The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 1.7x the FP16 throughput and 1.4x the memory bandwidth of the RTX 4070.