Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-4090 |
|---|---|---|
| TDP | 230W | 450W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 3,072 | 16,384 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | PCIe 4.0 |
| Tensor Cores | 384 | 512 |
| FP16 Performance | 11.2 TFLOPS | 165 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 82.6 TFLOPS |
| Memory Bandwidth | 448 GB/s | 1,008 GB/s |
Performance Analysis
Performance disparities stem from architectural advances: the Quadro RTX 5000 delivers 11.2 TFLOPS FP16 and 11.2 TFLOPS FP32, balancing mixed-precision tasks in 2018-era professional software. The RTX 4090 surges to 165 TFLOPS FP16, 82.6 TFLOPS FP32, and 660 TFLOPS FP8, accelerating AI training where FP16 dominates and inference via FP8 quantization. This 14-fold FP16 gain translates to faster model convergence in deep learning.
Memory specs further favor the RTX 4090: 1008 GB/s bandwidth and 24 GB VRAM support larger batch sizes than the Quadro's 448 GB/s and 16 GB, minimizing data loading bottlenecks in training. Higher bandwidth sustains throughput for memory-bound workloads like Stable Diffusion. Inference benefits most from FP8 on the 4090, enabling low-latency serving of quantized LLMs.
Power draw reflects capability: 450W TDP on the RTX 4090 powers its density, while 230W on the Quadro suits constrained setups, though at reduced throughput.
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 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 152GB Storage | Iceland | $0.40/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 108GB Storage | Iceland | $0.53/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 256 vCPU 126GB RAM 224GB Storage | United Kingdom | $0.67/GPU/hr $1.33/hr total (2×) | Available |
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 excels in legacy professional applications optimized for Turing architecture or requiring NVLink interconnect, unavailable on the RTX 4090's PCIe 4.0. Its 230W TDP fits power-limited cloud instances better than the 450W RTX 4090. Certified drivers ensure stability for CAD and visualization workflows where Quadro validation matters.
When to Choose the RTX 4090
The RTX 4090 outperforms in modern AI and rendering tasks, with 165 TFLOPS FP16 enabling rapid LLM training versus the Quadro's 11.2 TFLOPS. Cloud pricing starts at $0.16 per hour across 94 offers, far below the Quadro's $0.82 per hour. Greater availability and 24 GB VRAM suit high-batch compute.
Use Cases
RTX 4090's 165 TFLOPS FP16 and 1008 GB/s bandwidth accelerate large model training far beyond Quadro RTX 5000's 11.2 TFLOPS and 448 GB/s.
RTX 4090's 660 TFLOPS FP8 supports quantized inference at high throughput; 24 GB VRAM handles bigger models than Quadro's 16 GB.
Superior 82.6 TFLOPS FP32 on RTX 4090 speeds parameter updates; lower $0.48 per hour average cost beats Quadro's $0.82 per hour.
RTX 4090's 1008 GB/s bandwidth enables larger batches for image generation; 165 TFLOPS FP16 outperforms Quadro's 11.2 TFLOPS.
Quadro RTX 5000's NVLink suits multi-GPU simulations; RTX 4090's higher 82.6 TFLOPS FP32 fits single-GPU FP32-heavy tasks.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 4090 provides 24 GB GDDR6X VRAM, exceeding the Quadro RTX 5000's 16 GB GDDR6. This supports larger models in AI workloads. Bandwidth also favors RTX 4090 at 1008 GB/s versus 448 GB/s.
What are the cloud rental prices?▾
RTX 4090 rentals start from $0.16 per hour, averaging $0.48 per hour across 94 offers. Quadro RTX 5000 starts at $0.82 per hour average across 2 offers. Availability drives RTX 4090's edge.
Which is better for AI training?▾
RTX 4090 dominates with 165 TFLOPS FP16 versus Quadro RTX 5000's 11.2 TFLOPS. Higher 24 GB VRAM aids large datasets. FP32 at 82.6 TFLOPS further accelerates training.
Does Quadro RTX 5000 support NVLink?▾
Quadro RTX 5000 includes NVLink interconnect for multi-GPU scaling. RTX 4090 uses PCIe 4.0 only. This suits professional multi-node setups.
What are the power requirements?▾
Quadro RTX 5000 draws 230W TDP, lower than RTX 4090's 450W. Lower power fits constrained environments. Performance scales with higher TDP on RTX 4090.
Which architecture is newer?▾
RTX 4090 uses Ada Lovelace from 2022, advancing beyond Quadro RTX 5000's Turing from 2018. Newer design yields 660 TFLOPS FP8. This boosts modern inference.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 4090?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX 4090 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 4090?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find Quadro RTX 5000 and RTX 4090 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 4090?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 14.7x the FP16 throughput and 2.3x the memory bandwidth of the Quadro RTX 5000.