Specifications Compared
| Spec | RTX-3080 | RTX-5090 |
|---|---|---|
| TDP | 320W | 575W |
| VRAM | 10-12 GB | 32 GB |
| CUDA Cores | 8,704 | 21,760 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| Tensor Cores | 272 | 680 |
| FP16 Performance | 29.8 TFLOPS | 419 TFLOPS |
| FP32 Performance | 29.8 TFLOPS | 105 TFLOPS |
| Memory Bandwidth | 760 GB/s | 1,792 GB/s |
Performance Analysis
The RTX 5090's 419 TFLOPS FP16 performance vastly exceeds the RTX 3080 Ti's 29.8 TFLOPS: this accelerates AI training where half-precision arithmetic prevails. FP32 performance of 105 TFLOPS on the 5090 also surpasses the 3080 Ti's 29.8 TFLOPS, aiding simulation and rendering tasks. The FP8 capability at 838 TFLOPS on the 5090 optimizes inference for quantized models, unavailable on the older GPU. Memory bandwidth reaches 1792 GB/s on the RTX 5090 compared to 760 GB/s on the RTX 3080 Ti. Higher bandwidth supports larger batch sizes in training, minimizing data transfer bottlenecks and boosting throughput by handling bigger datasets efficiently. The 32 GB VRAM on the 5090 versus 10 to 12 GB on the 3080 Ti prevents out-of-memory errors in large language models, enabling longer sequences or more parameters.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 | 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 | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 502GB Storage | South Korea | $0.87/GPU/hr | Available |
When to Choose the RTX 3080 Ti
The RTX 3080 Ti suits budget-conscious users with light workloads. Its cloud pricing starts at $0.08 per hour, far below the RTX 5090's average $0.62 per hour. Lower 320W TDP reduces power costs in prolonged sessions. Choose this GPU for basic inference or fine-tuning small models where 10 to 12 GB VRAM and 29.8 TFLOPS suffice.
When to Choose the RTX 5090
The RTX 5090 excels in demanding AI applications. Its 32 GB VRAM and 419 TFLOPS FP16 handle large-scale training and inference effectively. Despite higher average pricing of $0.62 per hour, PCIe 5.0 interconnect and 1792 GB/s bandwidth deliver superior efficiency for complex tasks. Select it for professional ML pipelines requiring maximum performance.
Use Cases
The RTX 5090's 32 GB GDDR7 VRAM and 419 TFLOPS FP16 support training large models without memory limits, unlike the RTX 3080 Ti's 10-12 GB and 29.8 TFLOPS.
FP8 performance of 838 TFLOPS on the RTX 5090 accelerates quantized inference, paired with 1792 GB/s bandwidth for high throughput. The RTX 3080 Ti lacks FP8 support.
Small model fine-tuning fits the RTX 3080 Ti's 10-12 GB VRAM at low $0.08 per hour cost. Larger models benefit from the RTX 5090's 32 GB capacity.
The RTX 5090's 32 GB VRAM enables high-resolution image generation with bigger batches, leveraging 419 TFLOPS FP16 over the RTX 3080 Ti's limits.
105 TFLOPS FP32 and 1792 GB/s bandwidth on the RTX 5090 speed simulations, exceeding the RTX 3080 Ti's 29.8 TFLOPS and 760 GB/s.
Frequently Asked Questions
What is the performance difference in FP16 between RTX 3080 Ti and RTX 5090?▾
The RTX 5090 achieves 419 TFLOPS FP16, over 14 times the RTX 3080 Ti's 29.8 TFLOPS. This gap accelerates AI training significantly. FP32 follows at 105 TFLOPS versus 29.8 TFLOPS.
How much VRAM do the RTX 3080 Ti and RTX 5090 have?▾
RTX 3080 Ti offers 10 to 12 GB GDDR6X VRAM. RTX 5090 provides 32 GB GDDR7. The increase supports larger models and batch sizes.
What are the cloud pricing details for these GPUs?▾
RTX 3080 Ti starts at $0.08 per hour, averaging $0.14 per hour across four offers. RTX 5090 begins at $0.09 per hour, averaging $0.62 per hour across 29 offers.
Which GPU has higher memory bandwidth?▾
RTX 5090 delivers 1792 GB/s, more than double the RTX 3080 Ti's 760 GB/s. This improves data handling in compute-intensive tasks.
What are the TDP ratings?▾
RTX 3080 Ti consumes 320W TDP. RTX 5090 requires 575W. Lower TDP on the 3080 Ti aids power-sensitive deployments.
Is the RTX 5090 compatible with older systems?▾
RTX 5090 uses PCIe 5.0 interconnect and PCIe form factor. It works in PCIe 4.0 slots with reduced bandwidth, unlike the RTX 3080 Ti's standard PCIe.
Which is cheaper to rent, the RTX 3080 or the RTX 5090?▾
Cloud rental prices for both the RTX 3080 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 3080 have compared to the RTX 5090?▾
The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find RTX 3080 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 3080 and the RTX 5090?▾
The RTX 3080 uses the Ampere architecture (2020) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 14.1x the FP16 throughput and 2.4x the memory bandwidth of the RTX 3080.