Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-4000-ADA |
|---|---|---|
| TDP | 230W | 130W |
| VRAM | 16 GB | 20 GB |
| CUDA Cores | 3,072 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 384 | 192 |
| FP16 Performance | 11.2 TFLOPS | 26.7 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 26.7 TFLOPS |
| Memory Bandwidth | 448 GB/s | 360 GB/s |
Performance Analysis
The RTX 4000 Ada's FP16 and FP32 performance both hit 26.7 TFLOPS, doubling the Quadro RTX 5000's 11.2 TFLOPS in each metric. This advantage accelerates deep learning training, where FP32 handles forward and backward passes, potentially halving iteration times on equivalent models. Inference benefits similarly, as higher throughput processes more samples per second.
Memory differences impact batch sizes directly: the RTX 4000 Ada's 20 GB VRAM supports larger models or batches than the Quadro RTX 5000's 16 GB, reducing out-of-memory errors in LLM fine-tuning. However, the Quadro RTX 5000's 448 GB/s bandwidth exceeds the RTX 4000 Ada's 360 GB/s, enabling faster data transfers for bandwidth-bound tasks like high-resolution rendering.
Power efficiency favors the RTX 4000 Ada at 130W TDP versus 230W, yielding over 200% better TFLOPS per watt. Real-world ML workflows gain from this, as cooler operation allows denser cloud deployments without thermal throttling.
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 4000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.26/GPU/hr | |||
 Vast.ai | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 64 vCPU 42GB RAM 505GB Storage | Hungary | $0.40/GPU/hr | Available | ||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.44/GPU/hr | |||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 0 vCPU 0GB RAM | 🌍global | $0.57/GPU/hr |
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 excels in scenarios demanding high memory bandwidth of 448 GB/s, such as volumetric rendering or simulations where data movement dominates. Its NVLink interconnect enables efficient multi-GPU scaling for large-scale CAD assemblies exceeding single-GPU VRAM limits.
Users with legacy Turing-optimized software prefer it, avoiding recompilation costs despite higher $0.82 per hour pricing.
When to Choose the RTX 4000 Ada
The RTX 4000 Ada suits cost-sensitive AI workloads, offering 26.7 TFLOPS FP32 at $0.09 per hour starting price. Its 20 GB VRAM handles modern LLMs better, while 130W TDP minimizes cloud bills in long-running inference servers.
Newer Ada architecture provides ray-tracing cores absent in Turing, ideal for real-time visualization pipelines.
Use Cases
RTX 4000 Ada's 26.7 TFLOPS FP32 doubles Quadro RTX 5000's 11.2 TFLOPS, speeding gradient computations. Lower $0.09/hr cost supports extended training runs.
20 GB VRAM on RTX 4000 Ada fits larger models without quantization, unlike 16 GB on Quadro RTX 5000. 26.7 TFLOPS enables higher query throughput.
Ada's efficiency at 130W TDP and 26.7 TFLOPS outperforms Turing's 230W for iterative fine-tuning. Pricing at $0.09/hr beats $0.82/hr.
Quadro RTX 5000's 448 GB/s bandwidth aids high-res generation; RTX 4000 Ada's 26.7 TFLOPS and 20 GB VRAM accelerate diffusion steps equally well.
NVLink on Quadro RTX 5000 scales multi-GPU simulations; 448 GB/s bandwidth handles dense matrix operations better than 360 GB/s.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 4000 Ada provides 20 GB GDDR6 VRAM, exceeding the Quadro RTX 5000's 16 GB. This supports larger batch sizes in ML models. Bandwidth differs at 360 GB/s versus 448 GB/s.
What are the cloud rental prices?▾
RTX 4000 Ada starts at $0.09 per hour with average $0.22 per hour across 9 offers. Quadro RTX 5000 is from $0.82 per hour average across 2 offers. Availability favors the Ada model.
Which has higher compute performance?▾
RTX 4000 Ada delivers 26.7 TFLOPS in FP16 and FP32, double the Quadro RTX 5000's 11.2 TFLOPS. This boosts training and inference speeds. Architecture advances contribute to the gap.
How do power consumptions compare?▾
RTX 4000 Ada uses 130W TDP, half the Quadro RTX 5000's 230W. Lower power improves cloud density and costs. Efficiency reaches 205 TFLOPS per watt versus 49.
Does Quadro RTX 5000 support multi-GPU?▾
Quadro RTX 5000 includes NVLink for interconnect, unlike RTX 4000 Ada. This aids scaling beyond single GPU limits. PCIe form factor is common to both.
Which is newer?▾
RTX 4000 Ada uses 2023 Ada Lovelace architecture, versus 2018 Turing in Quadro RTX 5000. Newer design yields higher TFLOPS and efficiency. Both use GDDR6 memory.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 4000 Ada?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX 4000 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 4000 Ada?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.
Can I find Quadro RTX 5000 and RTX 4000 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 4000 Ada?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 4000 Ada uses Ada Lovelace (2023). The RTX 4000 Ada delivers 2.4x the FP16 throughput and 1.2x the memory bandwidth of the Quadro RTX 5000.