Specifications Compared
| Spec | RTX-4080 | RTX-5880-ADA |
|---|---|---|
| TDP | 320W | 285W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 9,728 | 14,080 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 304 | 440 |
| FP16 Performance | 48.7 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 69.7 TFLOPS |
| INT8 Performance | 780 TOPS | 1,115 TOPS |
| Memory Bandwidth | 717 GB/s | 960 GB/s |
Performance Analysis
The RTX 5880 Ada leads in compute performance: 69.7 TFLOPS FP16 and FP32 exceeds the RTX 4080 SUPER's 48.7 TFLOPS by 43 percent. This advantage speeds up model training and inference, especially half-precision operations common in deep learning. Larger neural networks benefit most from the delta during forward and backward passes. Memory capacity defines a clear divide: 48 GB on the RTX 5880 Ada versus 16 GB on the RTX 4080 SUPER allows bigger batch sizes in training without out-of-memory errors. Higher 960 GB/s bandwidth on the RTX 5880 Ada versus 717 GB/s reduces bottlenecks in data loading for inference at scale. Lower 285 W TDP on the RTX 5880 Ada delivers 0.244 TFLOPS per watt, surpassing the RTX 4080 SUPER's 0.152 TFLOPS per watt for efficiency in prolonged runs.
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
The RTX 4080 SUPER fits cost-sensitive projects with workloads under 16 GB VRAM. Pricing starts at $0.17 per hour across three providers, enabling accessible experimentation in fine-tuning or Stable Diffusion. Its 48.7 TFLOPS suffices for medium-scale inference where availability trumps capacity.
When to Choose the RTX 5880 Ada
Opt for the RTX 5880 Ada in memory-bound scenarios: 48 GB VRAM supports large LLMs in training or unquantized inference. The 69.7 TFLOPS and 960 GB/s bandwidth handle high-throughput tasks efficiently at 285 W TDP. It excels where model size exceeds 16 GB limits.
Use Cases
48 GB VRAM on the RTX 5880 Ada accommodates larger models and batches versus 16 GB on the RTX 4080 SUPER. 960 GB/s bandwidth aids data-intensive passes.
RTX 5880 Ada's 48 GB VRAM enables serving unquantized large models; 69.7 TFLOPS boosts throughput over 48.7 TFLOPS.
RTX 4080 SUPER's 16 GB VRAM and $0.17 per hour pricing suit smaller adapters. 48.7 TFLOPS handles typical fine-tuning efficiently.
Both fit image generation within 16 GB limits; RTX 4080 SUPER offers availability at $0.32 per hour average.
RTX 5880 Ada's 48 GB VRAM and 69.7 TFLOPS accelerate simulations with large datasets over RTX 4080 SUPER's constraints.
Frequently Asked Questions
Which GPU has more VRAM: RTX 4080 SUPER or RTX 5880 Ada?▾
The RTX 5880 Ada provides 48 GB GDDR6 VRAM, triple the RTX 4080 SUPER's 16 GB GDDR6X. This favors the RTX 5880 Ada for large models. Batch sizes increase significantly with the extra capacity.
What is the compute performance difference?▾
RTX 5880 Ada delivers 69.7 TFLOPS FP16 and FP32, 43 percent above RTX 4080 SUPER's 48.7 TFLOPS. Training epochs run faster on the RTX 5880 Ada. Inference latency drops accordingly.
How do memory bandwidths compare?▾
RTX 5880 Ada achieves 960 GB/s, 34 percent higher than RTX 4080 SUPER's 717 GB/s. Memory-bound tasks like LLM loading benefit. Data transfer speeds improve in both training and inference.
What are the cloud prices for these GPUs?▾
RTX 4080 SUPER starts at $0.17 per hour, average $0.32 per hour over three offers. RTX 5880 Ada has no live offers. Cost favors RTX 4080 SUPER currently.
Which has lower power consumption?▾
RTX 5880 Ada uses 285 W TDP versus RTX 4080 SUPER's 320 W. Efficiency reaches 0.244 TFLOPS per watt on RTX 5880 Ada. Prolonged cloud runs save on energy costs.
Are they the same architecture?▾
Both use Ada Lovelace: RTX 4080 SUPER from 2022, RTX 5880 Ada from 2024. Compatibility remains high for software. Performance scales with specs like 48 GB VRAM on RTX 5880 Ada.
Which is cheaper to rent, the RTX 4080 or the RTX 5880 Ada?▾
Cloud rental prices for both the RTX 4080 and RTX 5880 Ada 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 5880 Ada?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find RTX 4080 and RTX 5880 Ada 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 5880 Ada?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX 5880 Ada uses Ada Lovelace (2024). The RTX 5880 Ada delivers 1.4x the FP16 throughput and 1.3x the memory bandwidth of the RTX 4080.