Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-4500-ADA |
|---|---|---|
| TDP | 230W | 210W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 3,072 | 7,680 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 384 | 240 |
| FP16 Performance | 11.2 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 39.6 TFLOPS |
| Memory Bandwidth | 448 GB/s | 432 GB/s |
Performance Analysis
The RTX 4500 Ada's 39.6 TFLOPS in FP16 and FP32 performance dwarfs the Quadro RTX 5000's 11.2 TFLOPS, enabling up to 3.5 times faster model training and inference in AI pipelines. This compute advantage translates to quicker convergence in deep learning tasks and higher throughput for inference serving. The RTX 4500 Ada's 24 GB VRAM supports larger batch sizes and complex models without swapping, exceeding the Quadro RTX 5000's 16 GB capacity. Memory bandwidth remains close, with the Quadro RTX 5000 at 448 GB/s slightly ahead of the RTX 4500 Ada's 432 GB/s, which minimally impacts most workloads but could benefit data-intensive simulations on the older GPU. Power efficiency favors the RTX 4500 Ada at 210W TDP versus 230W, reducing operational costs in prolonged cloud runs. Overall, these specs position the RTX 4500 Ada for scalable AI, while the Quadro RTX 5000 handles bandwidth-sensitive professional viz.
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 4500 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4500 Ada 24GB VRAM | 24GB | 0 vCPU 0GB RAM | 🌍global | $0.74/GPU/hr |
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 excels in multi-GPU setups requiring NVLink interconnect, unavailable on the RTX 4500 Ada, for high-speed data transfer in large-scale rendering or simulations. Its 448 GB/s memory bandwidth surpasses the RTX 4500 Ada's 432 GB/s, aiding memory-bound tasks like complex CAD assemblies. Legacy software optimized for Turing architecture performs reliably on this GPU at $0.82 per hour.
When to Choose the RTX 4500 Ada
The RTX 4500 Ada dominates AI and machine learning workloads with 39.6 TFLOPS FP16/FP32 performance, 3.5 times the Quadro RTX 5000's 11.2 TFLOPS, accelerating training and inference. Its 24 GB VRAM accommodates larger models than the 16 GB on the older GPU, ideal for modern LLMs. At an average $0.51 per hour, it delivers superior value for cloud-based compute.
Use Cases
The RTX 4500 Ada's 39.6 TFLOPS FP16 performance enables 3.5 times faster training than the Quadro RTX 5000's 11.2 TFLOPS. Its 24 GB VRAM supports larger models.
Higher 39.6 TFLOPS FP32 on RTX 4500 Ada boosts inference throughput over the 11.2 TFLOPS of Quadro RTX 5000. Lower $0.51 per hour cost improves scalability.
RTX 4500 Ada's 24 GB VRAM handles bigger batches than Quadro RTX 5000's 16 GB. Compute at 39.6 TFLOPS speeds up iterations.
Ada Lovelace architecture and 39.6 TFLOPS excel in generative tasks over Turing's 11.2 TFLOPS. More VRAM reduces out-of-memory errors.
Quadro RTX 5000's NVLink and 448 GB/s bandwidth suit multi-GPU simulations. It matches needs where legacy Turing optimizations apply.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 4500 Ada provides 24 GB GDDR6 VRAM, exceeding the Quadro RTX 5000's 16 GB. This allows larger models in AI tasks. Bandwidth is 432 GB/s on RTX 4500 Ada versus 448 GB/s on Quadro RTX 5000.
What is the performance difference?▾
RTX 4500 Ada delivers 39.6 TFLOPS in FP16 and FP32, 3.5 times the Quadro RTX 5000's 11.2 TFLOPS. This impacts training speed significantly. Ada Lovelace architecture from 2023 outperforms Turing from 2018.
Which is cheaper in the cloud?▾
RTX 4500 Ada averages $0.51 per hour across three offers, cheaper than Quadro RTX 5000's $0.82 per hour. TDP is lower at 210W versus 230W. Pricing starts at $0.34 per hour for RTX 4500 Ada.
Does Quadro RTX 5000 support NVLink?▾
Yes, Quadro RTX 5000 includes NVLink for multi-GPU connectivity, unlike RTX 4500 Ada. This aids high-bandwidth parallel computing. Both use PCIe form factors.
Which is better for AI training?▾
RTX 4500 Ada excels with 39.6 TFLOPS and 24 GB VRAM for faster training than Quadro RTX 5000's 11.2 TFLOPS and 16 GB. Newer Ada architecture optimizes modern frameworks.
What are the TDP ratings?▾
RTX 4500 Ada has 210W TDP, more efficient than Quadro RTX 5000's 230W. This lowers power costs in cloud. Efficiency pairs with higher performance on RTX 4500 Ada.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 4500 Ada?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX 4500 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 4500 Ada?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find Quadro RTX 5000 and RTX 4500 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 4500 Ada?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 4500 Ada uses Ada Lovelace (2023). The RTX 4500 Ada delivers 3.5x the FP16 throughput and 1.0x the memory bandwidth of the Quadro RTX 5000.