Specifications Compared
| Spec | RTX-4080 | RTX-5070 |
|---|---|---|
| TDP | 320W | 250W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 9,728 | 6,144 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 304 | 192 |
| FP16 Performance | 48.7 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 40.6 TFLOPS |
| INT8 Performance | 780 TOPS | 650 TOPS |
| Memory Bandwidth | 717 GB/s | 448 GB/s |
Performance Analysis
Higher compute throughput defines the RTX 4080 SUPER: its 48.7 TFLOPS in FP16 and FP32 accelerates model training by approximately 20 percent over the RTX 5070 Ti's 40.6 TFLOPS, enabling quicker convergence in deep learning pipelines. For inference, this delta supports higher query rates, particularly in batched deployments.
Memory bandwidth impacts workload scalability: the RTX 4080 SUPER's 717 GB/s allows larger batch sizes in training and inference, minimizing out-of-memory errors for models up to 16 GB, while the RTX 5070 Ti's 448 GB/s constrains them to smaller batches around 12 GB limits. Lower TDP on the RTX 5070 Ti at 250W versus 320W improves power efficiency for prolonged runs, though Ada Lovelace maturity provides stable real-world gains.
Blackwell's advancements may yield software optimizations, but current specs favor the RTX 4080 SUPER for bandwidth-intensive tasks like diffusion models.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 4080 SUPER
Select the RTX 4080 SUPER for memory-heavy workloads: its 16 GB GDDR6X VRAM handles large language models exceeding 12 GB, preventing swapping during fine-tuning. The 717 GB/s bandwidth supports massive batch sizes in inference, ideal for production servers demanding low latency.
High-compute scenarios benefit from 48.7 TFLOPS: training cycles complete faster than on the RTX 5070 Ti's 40.6 TFLOPS.
When to Choose the RTX 5070 Ti
Choose the RTX 5070 Ti for budget-conscious deployments: pricing from $0.10 per hour suits experimentation and prototyping. Its 250W TDP reduces operational costs in multi-GPU setups compared to the RTX 4080 SUPER's 320W.
Newer Blackwell architecture positions it for future AI frameworks, performing adequately at 40.6 TFLOPS for inference on models under 12 GB.
Use Cases
RTX 4080 SUPER's 48.7 TFLOPS and 16 GB VRAM support larger models and batches versus RTX 5070 Ti's 40.6 TFLOPS and 12 GB.
Higher 717 GB/s bandwidth on RTX 4080 SUPER enables bigger batch sizes for throughput; 48.7 TFLOPS exceeds 40.6 TFLOPS.
16 GB VRAM capacity fits complex adapters without issues, unlike 12 GB limit on RTX 5070 Ti.
RTX 4080 SUPER excels in high-res generations via bandwidth; RTX 5070 Ti suffices for standard tasks at lower cost.
RTX 5070 Ti's 250W TDP and $0.10 per hour pricing favor sustained simulations over RTX 4080 SUPER's 320W draw.
Frequently Asked Questions
Which GPU has more VRAM: RTX 4080 SUPER or RTX 5070 Ti?▾
The RTX 4080 SUPER provides 16 GB GDDR6X VRAM, exceeding the RTX 5070 Ti's 12 GB GDDR7. This advantage aids memory-intensive AI tasks. Bandwidth follows suit at 717 GB/s versus 448 GB/s.
How do TFLOPS compare between RTX 4080 SUPER and RTX 5070 Ti?▾
RTX 4080 SUPER delivers 48.7 TFLOPS in FP16 and FP32, surpassing RTX 5070 Ti's 40.6 TFLOPS. This boosts training and inference speeds. Real-world gains appear in large-batch scenarios.
What are the cloud pricing differences?▾
RTX 4080 SUPER starts at $0.17 per hour with $0.32 average across three offers; RTX 5070 Ti at $0.10 per hour averaging $0.19 across two. Lower cost favors RTX 5070 Ti for trials.
Which has lower power consumption?▾
RTX 5070 Ti consumes 250W TDP, less than RTX 4080 SUPER's 320W. This enhances efficiency in clusters. Both use PCIe form factors.
Is RTX 5070 Ti newer than RTX 4080 SUPER?▾
Yes, RTX 5070 Ti uses 2025 Blackwell architecture versus 2022 Ada Lovelace on RTX 4080 SUPER. Future software may optimize Blackwell. Current specs favor Ada for raw power.
Can RTX 5070 Ti handle large models?▾
RTX 5070 Ti's 12 GB VRAM limits models over that size, unlike RTX 4080 SUPER's 16 GB. Use quantization for inference. Bandwidth at 448 GB/s supports moderate batches.
Which is cheaper to rent, the RTX 4080 or the RTX 5070?▾
Cloud rental prices for both the RTX 4080 and RTX 5070 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 4080 have compared to the RTX 5070?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find RTX 4080 and RTX 5070 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 4080 and the RTX 5070?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX 5070 uses Blackwell (2025). The RTX 4080 delivers 1.2x the FP16 throughput and 1.6x the memory bandwidth of the RTX 5070.