Specifications Compared
| Spec | RTX-4080 | RTX-5090 |
|---|---|---|
| TDP | 320W | 575W |
| VRAM | 16 GB | 32 GB |
| CUDA Cores | 9,728 | 21,760 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| Tensor Cores | 304 | 680 |
| FP16 Performance | 48.7 TFLOPS | 419 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 105 TFLOPS |
| INT8 Performance | 780 TOPS | 838 TOPS |
| Memory Bandwidth | 717 GB/s | 1,792 GB/s |
Performance Analysis
Raw compute differences translate to substantial real-world gains for the RTX 5090. Its 419 TFLOPS FP16 performance dwarfs the RTX 4080's 48.7 TFLOPS, enabling faster model training with mixed precision where FP16 dominates: training times could reduce by over 8 times for compatible workloads. The FP32 delta, 105 TFLOPS versus 48.7 TFLOPS, benefits single-precision tasks like certain simulations, offering roughly double the speed.
Memory specifications impact large-scale AI directly. The RTX 5090's 32 GB VRAM supports models exceeding 16 GB, such as large LLMs, without splitting across GPUs. Its 1792 GB/s bandwidth, 2.5 times the RTX 4080's 717 GB/s, sustains larger batch sizes during training and inference: this minimizes data bottlenecks and accelerates throughput by facilitating quicker memory access.
The FP8 capability at 838 TFLOPS positions the RTX 5090 for efficient inference on quantized models, a growing trend. Higher 575W TDP demands robust cooling, unlike the 320W RTX 4080, but yields superior efficiency per watt in high-intensity scenarios.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4080
| 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 |
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 642GB Storage | Czechia | $0.83/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 395GB Storage | South Korea | $0.87/GPU/hr | Available |
When to Choose the RTX 4080
The RTX 4080 excels in cost-sensitive deployments. At an average cloud price of $0.28 per hour versus $0.67 for the RTX 5090, it delivers value for inference on models fitting within 16 GB VRAM. Its 320W TDP suits environments with power limits, and 48.7 TFLOPS FP16/FP32 handles fine-tuning or Stable Diffusion without excess capacity.
Choose the RTX 4080 for prototyping or smaller-scale tasks where 717 GB/s bandwidth suffices: it avoids the 2.3 times higher average hourly cost of the RTX 5090.
When to Choose the RTX 5090
The RTX 5090 dominates demanding AI pipelines. Its 32 GB GDDR7 VRAM and 1792 GB/s bandwidth enable training and inference on massive models, supporting batch sizes infeasible on the RTX 4080's 16 GB and 717 GB/s. FP16 at 419 TFLOPS accelerates training dramatically over 48.7 TFLOPS.
Opt for the RTX 5090 in production environments leveraging FP8 at 838 TFLOPS for high-throughput inference: the performance justifies the $0.67 per hour average despite 575W TDP.
Use Cases
The RTX 5090's 419 TFLOPS FP16 vastly outperforms the RTX 4080's 48.7 TFLOPS, speeding up training. Its 32 GB VRAM handles larger models without fragmentation.
FP8 performance at 838 TFLOPS on the RTX 5090 enables high-throughput quantized inference. The 1792 GB/s bandwidth supports bigger batches than the RTX 4080's 717 GB/s.
RTX 4080's 16 GB VRAM and 48.7 TFLOPS suffice for smaller datasets at lower $0.28 per hour cost. RTX 5090's 32 GB excels for parameter-heavy fine-tuning.
RTX 5090's 32 GB VRAM and 419 TFLOPS FP16 generate higher-resolution images faster. Bandwidth of 1792 GB/s reduces latency versus 717 GB/s.
105 TFLOPS FP32 on RTX 5090 doubles RTX 4080's 48.7 TFLOPS for simulations. 32 GB VRAM manages complex datasets.
Frequently Asked Questions
Which GPU has more VRAM: RTX 4080 or RTX 5090?▾
The RTX 5090 provides 32 GB GDDR7 VRAM, double the RTX 4080's 16 GB GDDR6X. This allows larger models on the RTX 5090. Memory bandwidth reaches 1792 GB/s on RTX 5090 versus 717 GB/s.
How do RTX 4080 and RTX 5090 compare in FP16 performance?▾
RTX 5090 delivers 419 TFLOPS FP16, over 8 times the RTX 4080's 48.7 TFLOPS. This boosts training speed significantly. FP32 is 105 TFLOPS on RTX 5090 versus 48.7 TFLOPS.
What are the cloud pricing differences for these GPUs?▾
RTX 4080 starts at $0.11 per hour with $0.28 average across 8 offers. RTX 5090 begins at $0.13 per hour, averaging $0.67 across 22 offers. RTX 4080 offers better value for lighter tasks.
Does RTX 5090 support FP8 compute?▾
Yes, RTX 5090 achieves 838 TFLOPS FP8 for efficient inference. RTX 4080 lacks this specification. It enhances quantized model deployment.
What is the TDP difference between RTX 4080 and RTX 5090?▾
RTX 4080 has 320W TDP, while RTX 5090 requires 575W. Higher TDP on RTX 5090 supports greater performance. Both use PCIe form factors.
Which architecture do these GPUs use?▾
RTX 4080 employs Ada Lovelace from 2022. RTX 5090 uses Blackwell from 2025 with PCIe 5.0 interconnect. The newer architecture drives superior specs.
Which is cheaper to rent, the RTX 4080 or the RTX 5090?▾
Cloud rental prices for both the RTX 4080 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 4080 have compared to the RTX 5090?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find RTX 4080 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 4080 and the RTX 5090?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 8.6x the FP16 throughput and 2.5x the memory bandwidth of the RTX 4080.