Specifications Compared
| Spec | RTX-5070 | RTX-5080 |
|---|---|---|
| TDP | 250W | 360W |
| VRAM | 12 GB | 16 GB |
| CUDA Cores | 6,144 | 10,752 |
| Memory Type | GDDR7 | GDDR7 |
| Architecture | Blackwell | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 192 | 336 |
| FP16 Performance | 40.6 TFLOPS | 56.3 TFLOPS |
| FP32 Performance | 40.6 TFLOPS | 56.3 TFLOPS |
| INT8 Performance | 650 TOPS | 900 TOPS |
| Memory Bandwidth | 448 GB/s | 960 GB/s |
Performance Analysis
The RTX 5080 outperforms the RTX 5070 in raw compute: 56.3 TFLOPS in FP16 and FP32 versus 40.6 TFLOPS represents a 39 percent increase. This delta accelerates machine learning training and inference, as FP16 enables mixed-precision workflows common in deep learning, while FP32 supports general scientific simulations.
Memory bandwidth shows a stark difference: 960 GB/s on the RTX 5080 doubles the RTX 5070's 448 GB/s. Higher bandwidth sustains larger batch sizes in training, reducing data starvation and improving throughput for models like LLMs. The RTX 5080's 16 GB VRAM versus 12 GB further allows handling bigger models without swapping to host memory.
Power draw impacts deployment: the RTX 5080's 360W TDP demands more cooling than the RTX 5070's 250W, potentially raising operational costs in multi-GPU setups. Overall, these specs position the RTX 5080 for demanding workloads, while the RTX 5070 suits balanced efficiency.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 5080 16GB VRAM | 16GB | 0 vCPU 0GB RAM | 🌍global | $0.59/GPU/hr |
When to Choose the RTX 5070
The RTX 5070 excels in cost-sensitive scenarios with pricing from $0.08 per hour and an average of $0.21 per hour. Its 12 GB VRAM and 448 GB/s bandwidth suffice for prototyping, small-batch inference, or Stable Diffusion tasks where models fit comfortably. Lower 250W TDP also eases integration into power-constrained cloud instances.
Developers prioritizing affordability over peak performance select the RTX 5070 for initial experiments across 6 live offers.
When to Choose the RTX 5080
The RTX 5080 suits high-throughput needs with 16 GB VRAM and 960 GB/s bandwidth enabling large-model training and inference. Its 56.3 TFLOPS outperforms the RTX 5070's 40.6 TFLOPS by 39 percent, ideal for production LLM workloads. Despite higher average pricing of $0.38 per hour, the capabilities justify selection across 4 offers.
Teams scaling AI pipelines choose the RTX 5080 for its superior specs in memory-intensive applications.
Use Cases
The RTX 5080's 16 GB VRAM and 960 GB/s bandwidth support larger batches and models compared to the RTX 5070's 12 GB and 448 GB/s. Its 56.3 TFLOPS provides 39 percent more compute for faster convergence.
Higher 56.3 TFLOPS and 960 GB/s bandwidth on the RTX 5080 enable higher throughput for real-time queries. The 16 GB VRAM accommodates bigger LLMs without quantization losses seen on the RTX 5070's 12 GB.
Fine-tuning smaller models fits within the RTX 5070's 12 GB VRAM and 40.6 TFLOPS at lower $0.21 per hour cost. The RTX 5080's extras benefit only larger datasets.
The RTX 5070's 12 GB VRAM handles typical image generation pipelines efficiently at 448 GB/s bandwidth. Lower 250W TDP and $0.08 per hour starting price make it cost-effective.
The RTX 5080's 56.3 TFLOPS FP32 and 960 GB/s bandwidth accelerate simulations better than the RTX 5070's 40.6 TFLOPS and 448 GB/s. Extra 16 GB VRAM aids complex datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5080 features 16 GB GDDR7 VRAM, exceeding the RTX 5070's 12 GB. This supports larger AI models in training and inference. Bandwidth accompanies this at 960 GB/s versus 448 GB/s.
How do the prices compare?▾
RTX 5070 pricing starts at $0.08 per hour with an average of $0.21 per hour across 6 offers. RTX 5080 begins at $0.25 per hour, averaging $0.38 per hour over 4 offers. The gap reflects performance differences.
What is the TFLOPS difference?▾
The RTX 5080 delivers 56.3 TFLOPS in FP16 and FP32, a 39 percent gain over the RTX 5070's 40.6 TFLOPS. This boosts ML training speed. Both share equal FP16 and FP32 rates.
Which has higher power consumption?▾
The RTX 5080 requires 360W TDP, higher than the RTX 5070's 250W. This demands better cooling in cloud setups. Efficiency varies by workload intensity.
Best for LLM training?▾
RTX 5080 is optimal with 16 GB VRAM, 960 GB/s bandwidth, and 56.3 TFLOPS for large batches. RTX 5070 suits smaller scales at lower cost. Choice depends on model size.
Do they use the same architecture?▾
Both employ Blackwell architecture from 2025 in PCIe form factors. No interconnect differences noted. Specs diverge in VRAM, bandwidth, and compute.
Which is cheaper to rent, the RTX 5070 or the RTX 5080?▾
Cloud rental prices for both the RTX 5070 and RTX 5080 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 5070 have compared to the RTX 5080?▾
The RTX 5070 has 12 GB of GDDR7 memory. The RTX 5080 has 16 GB of GDDR7 memory.
Can I find RTX 5070 and RTX 5080 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 5070 and the RTX 5080?▾
The RTX 5070 uses the Blackwell architecture (2025) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 1.4x the FP16 throughput and 2.1x the memory bandwidth of the RTX 5070.