Specifications Compared
| Spec | RTX-5080 | RTX-5090 |
|---|---|---|
| TDP | 360W | 575W |
| VRAM | 16 GB | 32 GB |
| CUDA Cores | 10,752 | 21,760 |
| Memory Type | GDDR7 | GDDR7 |
| Architecture | Blackwell | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| Tensor Cores | 336 | 680 |
| FP16 Performance | 56.3 TFLOPS | 419 TFLOPS |
| FP32 Performance | 56.3 TFLOPS | 105 TFLOPS |
| INT8 Performance | 900 TOPS | 838 TOPS |
| Memory Bandwidth | 960 GB/s | 1,792 GB/s |
Performance Analysis
The RTX 5090's FP16 performance of 419 TFLOPS accelerates deep learning training far beyond the RTX 5080's 56.3 TFLOPS, enabling quicker iterations on complex neural networks. Its FP32 throughput of 105 TFLOPS suits graphics and simulation workloads better than the RTX 5080's equal 56.3 TFLOPS rating. The FP8 capability at 838 TFLOPS on the RTX 5090 optimizes low-precision inference for deploying large models at scale.
Memory bandwidth profoundly impacts real-world usage: the RTX 5090's 1792 GB/s supports larger batch sizes during training, minimizing data loading bottlenecks compared to the RTX 5080's 960 GB/s. Paired with 32 GB VRAM, this sustains high throughput for models exceeding the RTX 5080's 16 GB limit. Higher TDP of 575W on the RTX 5090 reflects its power demands versus 360W on the RTX 5080.
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 |
RTX 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 570GB Storage | Czechia | $0.81/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 489GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 495GB Storage | South Korea | $0.91/GPU/hr | Available |
When to Choose the RTX 5080
The RTX 5080 fits cost-sensitive deployments with its average cloud price of $0.38/hr across 4 offers and lower TDP of 360W, easing power constraints in smaller clusters. It performs adequately for tasks within 16 GB VRAM and 56.3 TFLOPS FP16, such as prototyping or inference on modest models. Users prioritizing affordability over peak performance select it for balanced efficiency.
When to Choose the RTX 5090
The RTX 5090 excels in high-demand environments leveraging 419 TFLOPS FP16, 32 GB VRAM, and 1792 GB/s bandwidth for large-scale training and inference. Greater availability across 22 cloud offers ensures easier scaling despite the $0.67/hr average price. It handles workloads requiring FP8 at 838 TFLOPS, making it preferable for production AI pipelines.
Use Cases
The RTX 5090's 419 TFLOPS FP16 and 1792 GB/s bandwidth enable efficient large-batch training of LLMs. The RTX 5080's 56.3 TFLOPS and 960 GB/s constrain scale for massive models.
FP8 performance of 838 TFLOPS on the RTX 5090 accelerates quantized inference with 32 GB VRAM for high concurrency. The RTX 5080 lacks FP8 support and sufficient memory for peak loads.
RTX 5090's 105 TFLOPS FP32 and doubled VRAM handle parameter-efficient fine-tuning on large models effectively. RTX 5080 suffices only for smaller datasets within 16 GB.
Higher bandwidth of 1792 GB/s and 419 TFLOPS FP16 on RTX 5090 speed up image generation at high resolutions. RTX 5080's specs limit throughput for batch processing.
RTX 5080's 56.3 TFLOPS FP32 meets moderate simulations at lower 360W TDP cost. RTX 5090's 105 TFLOPS FP32 scales for intensive HPC tasks.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5090 provides 32 GB GDDR7 VRAM, twice the 16 GB in the RTX 5080. This capacity supports larger models without swapping. Bandwidth accompanies this at 1792 GB/s on RTX 5090 versus 960 GB/s.
What is the FP16 performance difference?▾
RTX 5090 achieves 419 TFLOPS in FP16, over seven times the RTX 5080's 56.3 TFLOPS. This gap accelerates training workloads significantly. FP32 on RTX 5090 is 105 TFLOPS versus 56.3 TFLOPS.
How do power requirements compare?▾
RTX 5090 has a 575W TDP, higher than the RTX 5080's 360W. This reflects greater performance potential. Cooling needs scale accordingly in cloud setups.
What are the cloud pricing details?▾
RTX 5080 starts at $0.25/hr with $0.38/hr average across 4 offers. RTX 5090 begins at $0.13/hr with $0.67/hr average across 22 offers. Availability favors RTX 5090.
Does RTX 5090 support FP8?▾
RTX 5090 delivers 838 TFLOPS in FP8 for efficient inference. RTX 5080 lacks this specification. It enhances low-precision deployments.
Which is better for memory-intensive tasks?▾
RTX 5090's 32 GB VRAM and 1792 GB/s bandwidth outperform RTX 5080's 16 GB and 960 GB/s. Larger batches fit without issues. This suits big data AI.
Which is cheaper to rent, the RTX 5080 or the RTX 5090?▾
Cloud rental prices for both the RTX 5080 and RTX 5090 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 5090?▾
The RTX 5080 has 16 GB of GDDR7 memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find RTX 5080 and RTX 5090 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 5090?▾
The RTX 5080 uses the Blackwell architecture (2025) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 7.4x the FP16 throughput and 1.9x the memory bandwidth of the RTX 5080.