Specifications Compared
| Spec | QUADRO-P6000 | RTX-4500-ADA |
|---|---|---|
| TDP | 250W | 210W |
| VRAM | 24 GB | 24 GB |
| CUDA Cores | 3,840 | 7,680 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 12.6 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 12.6 TFLOPS | 39.6 TFLOPS |
| Memory Bandwidth | 432 GB/s | 432 GB/s |
Performance Analysis
The RTX 4500 Ada outperforms the Quadro P6000 by a factor of 3.14 in FP16 and FP32 compute with 39.6 TFLOPS versus 12.6 TFLOPS. This delta accelerates machine learning training and inference: training large language models processes iterations 3x faster, while inference handles more queries per second under FP16 precision. Both GPUs limit batch sizes similarly due to matching 432 GB/s bandwidth, preventing memory bottlenecks in data-heavy tasks. The Ada Lovelace architecture enhances tensor core efficiency beyond raw TFLOPS, improving real-world throughput in mixed-precision workflows. Lower TDP of 210W on the RTX 4500 Ada enables denser cloud deployments, reducing cooling demands compared to the Quadro P6000's 250W.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/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 P6000
The Quadro P6000 fits legacy professional applications certified for Pascal drivers, such as specific CAD or simulation software from 2016-2020 eras. With six live cloud offers averaging $1.10 per hour, it offers greater availability for pipelines avoiding driver migrations. Its 24 GB GDDR5X VRAM supports memory-intensive rendering where compute speed ranks secondary to stability.
When to Choose the RTX 4500 Ada
The RTX 4500 Ada excels in modern AI and compute workloads leveraging Ada Lovelace optimizations. At 39.6 TFLOPS FP16/FP32 and 210W TDP, it delivers superior training and inference speeds for deep learning. Cloud pricing from $0.34 per hour across three offers makes it cost-effective for scalable deployments requiring high throughput.
Use Cases
The RTX 4500 Ada's 39.6 TFLOPS FP16/FP32 triples the Quadro P6000's 12.6 TFLOPS, speeding up gradient computations and epochs. Matching 432 GB/s bandwidth supports equivalent batch sizes.
Higher 39.6 TFLOPS enables 3x faster FP16 inference queries on the RTX 4500 Ada. Lower $0.34 per hour pricing suits high-volume serving.
RTX 4500 Ada's Ada architecture optimizes mixed-precision fine-tuning with 39.6 TFLOPS versus 12.6 TFLOPS. 210W TDP allows efficient multi-GPU setups.
39.6 TFLOPS FP16 accelerates diffusion model sampling 3x faster than the Quadro P6000's 12.6 TFLOPS. 24 GB VRAM handles high-resolution generations equally.
RTX 4500 Ada's superior 39.6 TFLOPS boosts simulation iterations over Quadro P6000's 12.6 TFLOPS. Identical 432 GB/s bandwidth ensures parity in memory-bound codes.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 4500 Ada provides 39.6 TFLOPS in FP16 and FP32, surpassing the Quadro P6000's 12.6 TFLOPS by over 3x. This impacts training and inference speeds directly.
Do they have the same VRAM and bandwidth?▾
Both offer 24 GB VRAM and 432 GB/s bandwidth, with Quadro P6000 using GDDR5X and RTX 4500 Ada using GDDR6. Batch sizes remain comparable in memory-limited tasks.
What are the power consumption differences?▾
RTX 4500 Ada draws 210W TDP, lower than Quadro P6000's 250W. This enables more efficient cloud scaling and reduced operational costs.
How do cloud prices compare?▾
RTX 4500 Ada starts at $0.34 per hour with $0.51 average across 3 offers, versus Quadro P6000's $1.10 per hour average across 6 offers. Ada provides better value for compute-heavy jobs.
Which architecture is newer?▾
RTX 4500 Ada uses 2023 Ada Lovelace, while Quadro P6000 relies on 2016 Pascal. Ada supports advanced tensor cores absent in Pascal.
Are they suitable for AI workloads?▾
RTX 4500 Ada's 39.6 TFLOPS excels in AI training and inference over Quadro P6000's 12.6 TFLOPS. Both 24 GB VRAM capacities handle large models.
Which is cheaper to rent, the Quadro P6000 or the RTX 4500 Ada?▾
Cloud rental prices for both the Quadro P6000 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 P6000 have compared to the RTX 4500 Ada?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find Quadro P6000 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 P6000 and the RTX 4500 Ada?▾
The Quadro P6000 uses the Pascal architecture (2016) while the RTX 4500 Ada uses Ada Lovelace (2023). The RTX 4500 Ada delivers 3.1x the FP16 throughput and 1.0x the memory bandwidth of the Quadro P6000.