Specifications Compared
| Spec | RTX-3090 | RTX-5090 |
|---|---|---|
| TDP | 350W | 575W |
| VRAM | 24 GB | 32 GB |
| CUDA Cores | 10,496 | 21,760 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | PCIe 5.0 |
| Tensor Cores | 328 | 680 |
| FP16 Performance | 35.6 TFLOPS | 419 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 105 TFLOPS |
| Memory Bandwidth | 936 GB/s | 1,792 GB/s |
Performance Analysis
Compute specifications highlight the RTX 5090's dominance: its 419 TFLOPS FP16 dwarfs the RTX 3090's 35.6 TFLOPS, accelerating mixed-precision training by over 11 times. FP32 performance climbs to 105 TFLOPS from 35.6 TFLOPS, benefiting single-precision scientific simulations and graphics rendering. The addition of 838 TFLOPS FP8 on the RTX 5090 optimizes low-precision inference for large language models.
Memory differences impact real-world workloads profoundly: 32 GB GDDR7 versus 24 GB GDDR6X allows larger models without swapping, and 1792 GB/s bandwidth versus 936 GB/s supports batch sizes up to twice as large in training runs. Higher TDP of 575W on the RTX 5090 demands robust cooling, but PCIe 5.0 interconnect enables faster data transfers than the RTX 3090's NVLink in multi-GPU setups. These specs translate to faster convergence in deep learning and higher throughput in inference serving.
For inference specifically, FP8 capability on the RTX 5090 reduces latency dramatically compared to the RTX 3090's FP16 reliance, while bandwidth gains minimize bottlenecks in data-heavy tasks like Stable Diffusion generation.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 104GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1217GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
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 3090
The RTX 3090 suits budget-conscious users: cloud pricing starts at $0.08/hr with an average of $0.42/hr across 49 live offers, undercutting the RTX 5090's $0.13/hr from and $0.67/hr average. Its 350W TDP fits power-limited environments better than 575W.
Legacy workflows benefit from 24 GB VRAM and NVLink interconnect, which suffice for fine-tuning models under 20 billion parameters or Stable Diffusion at 512x512 resolutions without excessive costs.
When to Choose the RTX 5090
The RTX 5090 excels in demanding AI pipelines: 419 TFLOPS FP16 and 838 TFLOPS FP8 deliver up to 12 times faster training and inference than the RTX 3090's 35.6 TFLOPS. 32 GB VRAM handles models exceeding 70 billion parameters seamlessly.
High-bandwidth needs favor its 1792 GB/s over 936 GB/s, enabling large-batch training and real-time inference in production.
Use Cases
RTX 5090's 419 TFLOPS FP16 and 105 TFLOPS FP32 enable training of large models over 10 times faster than RTX 3090's 35.6 TFLOPS. Higher 32 GB VRAM supports bigger datasets without out-of-memory errors.
838 TFLOPS FP8 on RTX 5090 slashes latency for serving billion-parameter models, far beyond RTX 3090's 35.6 TFLOPS FP16. 1792 GB/s bandwidth handles high-concurrency requests efficiently.
RTX 5090's compute edge accelerates fine-tuning by leveraging 419 TFLOPS FP16 versus 35.6 TFLOPS. 32 GB VRAM fits LoRA adapters on large base models without truncation.
RTX 3090's 24 GB VRAM suffices for 1024x1024 generations at 35.6 TFLOPS. RTX 5090's 419 TFLOPS speeds up high-res or batch jobs, but cost favors RTX 3090 for casual use.
105 TFLOPS FP32 on RTX 5090 outperforms RTX 3090's 35.6 TFLOPS in simulations like molecular dynamics. PCIe 5.0 interconnect aids multi-GPU scaling for large-scale computations.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5090 provides 32 GB GDDR7 VRAM, exceeding the RTX 3090's 24 GB GDDR6X. This allows handling of larger AI models without memory constraints. Bandwidth also rises to 1792 GB/s from 936 GB/s.
How do their FLOPS compare?▾
RTX 5090 achieves 419 TFLOPS FP16, 105 TFLOPS FP32, and 838 TFLOPS FP8, versus RTX 3090's 35.6 TFLOPS for both FP16 and FP32. This yields over 11 times FP16 performance for training tasks.
What is the power consumption difference?▾
RTX 5090 draws 575W TDP, higher than RTX 3090's 350W. Users must ensure adequate cooling and power supply in cloud instances. This supports its superior 419 TFLOPS FP16 capability.
Which is cheaper in the cloud?▾
RTX 3090 pricing starts from $0.08/hr with $0.42/hr average across 49 offers, cheaper than RTX 5090's $0.13/hr from and $0.67/hr average over 22 offers. Budget workloads favor RTX 3090.
What architectures do they use?▾
RTX 3090 uses Ampere from 2020 with NVLink interconnect. RTX 5090 employs Blackwell 2025 architecture and PCIe 5.0. The upgrade brings 419 TFLOPS FP16 versus 35.6 TFLOPS.
Is RTX 5090 better for AI training?▾
Yes, RTX 5090's 419 TFLOPS FP16 and 32 GB VRAM outperform RTX 3090's 35.6 TFLOPS and 24 GB for LLM training. It reduces epochs by factors of 10 or more in practice.
Which is cheaper to rent, the RTX 3090 or the RTX 5090?▾
Cloud rental prices for both the RTX 3090 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 3090 have compared to the RTX 5090?▾
The RTX 3090 has 24 GB of GDDR6X memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find RTX 3090 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 3090 and the RTX 5090?▾
The RTX 3090 uses the Ampere architecture (2020) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 11.8x the FP16 throughput and 1.9x the memory bandwidth of the RTX 3090.