Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-3090 |
|---|---|---|
| TDP | 230W | 350W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 3,072 | 10,496 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 384 | 328 |
| FP16 Performance | 11.2 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 35.6 TFLOPS |
| Memory Bandwidth | 448 GB/s | 936 GB/s |
Performance Analysis
The RTX 3090 Ti outperforms the Quadro RTX 5000 by a factor of 3.2 in FP16 and FP32 performance: 35.6 TFLOPS compared to 11.2 TFLOPS. This delta accelerates deep learning training, where FP16 tensor cores reduce epoch times proportionally, and FP32 handles precise scientific computations faster.
Memory bandwidth presents a clear advantage for the RTX 3090 Ti at 936 GB/s over 448 GB/s: it supports larger batch sizes in model training, minimizing data loading bottlenecks and boosting overall throughput by up to 2x in memory-bound inference scenarios.
Higher VRAM on the RTX 3090 Ti, 24 GB versus 16 GB, enables handling larger models without swapping, while the Ampere architecture improves efficiency despite the 350 W TDP versus 230 W.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
RTX 3090 Ti
| 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 153GB 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 1440GB 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 |
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 suits environments requiring ISV certifications for professional software like CAD or medical imaging, where its Turing drivers ensure stability absent in consumer GeForce cards. Its lower 230 W TDP fits power-constrained cloud instances better than the 350 W RTX 3090 Ti.
When to Choose the RTX 3090 Ti
The RTX 3090 Ti excels in AI and machine learning tasks demanding high throughput, with 35.6 TFLOPS FP16 performance and 24 GB VRAM handling larger models than the Quadro's 11.2 TFLOPS and 16 GB. At $0.25 per hour average cloud pricing, it delivers better value for training and inference over the Quadro's $0.82 per hour.
Use Cases
The RTX 3090 Ti's 35.6 TFLOPS FP16 and 24 GB VRAM support larger models and batch sizes than the Quadro RTX 5000's 11.2 TFLOPS and 16 GB.
Higher 936 GB/s bandwidth on the RTX 3090 Ti enables faster token generation with bigger batches versus 448 GB/s on the Quadro RTX 5000.
Ampere's 35.6 TFLOPS FP32 outperforms Turing's 11.2 TFLOPS, speeding up parameter updates on datasets fitting 24 GB VRAM.
24 GB GDDR6X VRAM on the RTX 3090 Ti manages high-resolution image generation without out-of-memory errors, unlike 16 GB on the Quadro RTX 5000.
Both offer NVLink and similar FP32 at scale, but Quadro RTX 5000 fits certified simulations while RTX 3090 Ti provides 3x faster compute for general tasks.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 5000 or RTX 3090 Ti?▾
The RTX 3090 Ti has 24 GB GDDR6X VRAM, exceeding the Quadro RTX 5000's 16 GB GDDR6. This allows larger models in AI workloads. Both use PCIe form factors.
How do FP32 performance numbers compare between Quadro RTX 5000 and RTX 3090 Ti?▾
The RTX 3090 Ti achieves 35.6 TFLOPS FP32, over three times the Quadro RTX 5000's 11.2 TFLOPS. This benefits precise computations in simulations. FP16 matches this ratio at 35.6 versus 11.2 TFLOPS.
What are the cloud rental prices for these GPUs?▾
Quadro RTX 5000 starts at $0.82 per hour average across two offers. RTX 3090 Ti begins at $0.10 per hour with $0.25 average across five offers. Pricing reflects performance and availability.
Which has higher memory bandwidth?▾
RTX 3090 Ti offers 936 GB/s, more than double the Quadro RTX 5000's 448 GB/s. Higher bandwidth improves batch processing in training. This stems from GDDR6X versus GDDR6.
What are the TDPs of Quadro RTX 5000 vs RTX 3090 Ti?▾
Quadro RTX 5000 consumes 230 W TDP, lower than RTX 3090 Ti's 350 W. Lower TDP aids power-limited setups. Both support NVLink interconnects.
Turing vs Ampere: which architecture is newer?▾
Ampere in RTX 3090 Ti launched in 2020, succeeding Turing in Quadro RTX 5000 from 2018. Ampere delivers 35.6 TFLOPS versus 11.2 TFLOPS. This generational leap enhances AI efficiency.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 3090?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX 3090 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 Quadro RTX 5000 have compared to the RTX 3090?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find Quadro RTX 5000 and RTX 3090 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 Quadro RTX 5000 and the RTX 3090?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 3090 uses Ampere (2020). The RTX 3090 delivers 3.2x the FP16 throughput and 2.1x the memory bandwidth of the Quadro RTX 5000.