Specifications Compared
| Spec | RTX-5080 | RTX-5880-ADA |
|---|---|---|
| TDP | 360W | 285W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 10,752 | 14,080 |
| Memory Type | GDDR7 | GDDR6 |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 336 | 440 |
| FP16 Performance | 56.3 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 56.3 TFLOPS | 69.7 TFLOPS |
| INT8 Performance | 900 TOPS | 1,115 TOPS |
| Memory Bandwidth | 960 GB/s | 960 GB/s |
Performance Analysis
Compute performance favors the RTX 5880 Ada: its 69.7 TFLOPS in both FP16 and FP32 exceeds the RTX 5080's 56.3 TFLOPS, translating to faster matrix operations in training and inference pipelines. For deep learning training, this delta means the RTX 5880 Ada can process iterations quicker, reducing overall epoch times by approximately 19 percent based on raw TFLOPS ratios. Inference benefits similarly, with higher throughput for real-time serving.
Memory capacity defines a key divide: the RTX 5880 Ada's 48 GB VRAM supports larger batch sizes in memory-intensive tasks like LLM fine-tuning, accommodating models up to 70B parameters without splitting, while the RTX 5080's 16 GB limits it to smaller batches or model parallelism. Both GPUs match at 960 GB/s bandwidth, ensuring neither bottlenecks data transfer during peak loads. The RTX 5080's higher 360W TDP reflects Blackwell's denser transistors, potentially yielding better utilization in sustained workloads despite lower headline FLOPS.
Power efficiency tilts toward the RTX 5880 Ada at 285W TDP, ideal for dense cloud deployments where cooling and energy costs matter. Real-world implications include the RTX 5080 excelling in latency-sensitive inference on newer tensor cores, while the RTX 5880 Ada dominates VRAM-bound scenarios.
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 5080
Opt for the RTX 5080 in cost-sensitive cloud environments: pricing starts at $0.25 per hour with an average of $0.38 per hour across four live offers, unavailable for the RTX 5880 Ada. Its Blackwell architecture from 2025 introduces optimizations for emerging AI frameworks, suiting inference and fine-tuning of models under 13B parameters within 16 GB GDDR7 VRAM.
Scenarios like real-time generative AI or scientific simulations benefit from the RTX 5080's PCIe compatibility and 960 GB/s bandwidth, where availability trumps raw capacity.
When to Choose the RTX 5880 Ada
Select the RTX 5880 Ada for memory-heavy workloads: 48 GB GDDR6 VRAM handles large-scale LLM training or Stable Diffusion with massive datasets, far exceeding the RTX 5080's 16 GB limit. Higher 69.7 TFLOPS performance accelerates FP16/FP32 computations, ideal for professional rendering or simulations requiring sustained throughput.
Lower 285W TDP makes it preferable in power-constrained clusters, despite no current cloud offers.
Use Cases
The RTX 5880 Ada's 48 GB VRAM supports larger models and batch sizes critical for training, unlike the RTX 5080's 16 GB limit. Its 69.7 TFLOPS outperforms the 56.3 TFLOPS for faster epochs.
RTX 5080's newer Blackwell architecture optimizes low-latency inference within 16 GB VRAM for models up to 13B parameters. Cloud availability at $0.25 per hour adds practicality.
Smaller models fit RTX 5080's 16 GB, leveraging cost and new architecture; larger ones need RTX 5880 Ada's 48 GB and 69.7 TFLOPS for efficiency.
RTX 5880 Ada's 48 GB VRAM handles high-resolution generations and batch processing without OOM errors, with 960 GB/s bandwidth matching demands.
RTX 5080's 360W TDP and Blackwell features suit parallel simulations; affordable $0.38 per hour average pricing enables scalable cloud runs.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5880 Ada provides 48 GB GDDR6 VRAM, doubling the RTX 5080's 16 GB GDDR7. This makes the RTX 5880 Ada better for large models. Both share 960 GB/s bandwidth.
What are the compute performances?▾
RTX 5880 Ada achieves 69.7 TFLOPS in FP16 and FP32, surpassing RTX 5080's 56.3 TFLOPS. This impacts training speed directly. Inference sees similar gains.
Which is more power efficient?▾
RTX 5880 Ada has a lower 285W TDP compared to RTX 5080's 360W. It suits energy-limited setups. Performance per watt favors Ada in raw specs.
What is the cloud pricing?▾
RTX 5080 starts at $0.25 per hour, averaging $0.38 per hour over four offers. RTX 5880 Ada has no live cloud offers. Availability drives RTX 5080 adoption.
Which architecture is newer?▾
RTX 5080 uses Blackwell from 2025, newer than RTX 5880 Ada's Ada Lovelace from 2024. Blackwell offers future-proof tensor core improvements. PCIe form matches both.
Can they handle large batch sizes?▾
RTX 5880 Ada's 48 GB VRAM excels for large batches in training. RTX 5080's 16 GB suits smaller ones with same 960 GB/s bandwidth. Task size determines fit.
Which is cheaper to rent, the RTX 5080 or the RTX 5880 Ada?▾
Cloud rental prices for both the RTX 5080 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 5080 have compared to the RTX 5880 Ada?▾
The RTX 5080 has 16 GB of GDDR7 memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find RTX 5080 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 5080 and the RTX 5880 Ada?▾
The RTX 5080 uses the Blackwell architecture (2025) while the RTX 5880 Ada uses Ada Lovelace (2024). The RTX 5880 Ada delivers 1.2x the FP16 throughput and 1.0x the memory bandwidth of the RTX 5080.