Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-5000-ADA |
|---|---|---|
| TDP | 230W | 250W |
| VRAM | 16 GB | 32 GB |
| CUDA Cores | 3,072 | 12,800 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 384 | 400 |
| FP16 Performance | 11.2 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 65.3 TFLOPS |
| Memory Bandwidth | 448 GB/s | 576 GB/s |
Performance Analysis
The RTX 5000 Ada's 65.3 TFLOPS in FP16 and FP32 dwarfs the Quadro RTX 5000's 11.2 TFLOPS, a nearly sixfold increase: this translates to faster deep learning training and inference, where half-precision computations dominate modern frameworks like PyTorch. Training large models benefits from reduced epochs, while inference handles higher throughput for real-time applications.
Doubling VRAM from 16 GB to 32 GB enables the Ada to load larger models without splitting across GPUs, minimizing communication overhead: batch sizes can increase significantly, improving utilization. The 576 GB/s bandwidth versus 448 GB/s reduces memory bottlenecks in data-intensive tasks, supporting bigger batches in training by 28 percent more throughput potential.
TDP rises modestly from 230 W to 250 W, yet the performance density favors the Ada for efficiency: cloud users gain more compute per watt and dollar, especially at $0.25 per hour starting price.
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 5000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 suits scenarios requiring NVLink interconnect for multi-GPU professional visualization or simulations optimized for Turing architecture. Legacy software certified only for Quadro series avoids compatibility issues with Ada Lovelace drivers. Lower 230 W TDP fits power-constrained cloud instances where 11.2 TFLOPS suffices for moderate workloads.
When to Choose the RTX 5000 Ada
The RTX 5000 Ada excels in modern AI pipelines needing 32 GB VRAM for large language models or high-resolution rendering. Its 65.3 TFLOPS FP16 performance accelerates training and inference by up to six times over the Quadro. Cost savings at $0.51 average hourly rate make it ideal for extended cloud sessions.
Use Cases
The RTX 5000 Ada's 65.3 TFLOPS FP16 and 32 GB VRAM handle large models with bigger batches, far surpassing the Quadro's 11.2 TFLOPS and 16 GB.
65.3 TFLOPS FP16 enables high-throughput inference on the Ada, while 576 GB/s bandwidth supports real-time queries unlike the Quadro's limits.
Double VRAM to 32 GB and sixfold FP16 performance make the Ada ideal for fine-tuning without memory constraints.
Ada's 32 GB VRAM and 65.3 TFLOPS accelerate image generation at higher resolutions compared to the Quadro's 16 GB and 11.2 TFLOPS.
Higher 65.3 TFLOPS FP32 and bandwidth suit complex simulations; NVLink on Quadro is niche unless multi-GPU linking is required.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5000 Ada provides 32 GB GDDR6, double the Quadro RTX 5000's 16 GB. This allows larger models in AI tasks. Bandwidth also improves to 576 GB/s from 448 GB/s.
What is the performance difference?▾
RTX 5000 Ada delivers 65.3 TFLOPS in FP16 and FP32, versus 11.2 TFLOPS on Quadro RTX 5000: a nearly six times boost. This impacts training speed significantly.
Which is cheaper in the cloud?▾
RTX 5000 Ada starts at $0.25 per hour with $0.51 average across five offers. Quadro RTX 5000 averages $0.82 per hour on two offers.
Does Quadro RTX 5000 support NVLink?▾
Yes, Quadro RTX 5000 includes NVLink for multi-GPU. RTX 5000 Ada listings do not specify it, favoring single-GPU use.
What architectures do they use?▾
Quadro RTX 5000 uses 2018 Turing architecture at 230 W TDP. RTX 5000 Ada employs 2023 Ada Lovelace at 250 W TDP.
Is RTX 5000 Ada better for AI?▾
Yes, with 65.3 TFLOPS FP16 and 32 GB VRAM versus 11.2 TFLOPS and 16 GB. It handles modern LLMs more efficiently.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 5000 Ada?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX 5000 Ada 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 5000 Ada?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find Quadro RTX 5000 and RTX 5000 Ada 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 5000 Ada?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 5000 Ada uses Ada Lovelace (2023). The RTX 5000 Ada delivers 5.8x the FP16 throughput and 1.3x the memory bandwidth of the Quadro RTX 5000.