Specifications Compared
| Spec | QUADRO-P4000 | RTX-2000-ADA |
|---|---|---|
| TDP | 105W | 70W |
| VRAM | 8 GB | 16 GB |
| CUDA Cores | 1,792 | 2,816 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 5.3 TFLOPS | 12 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 12 TFLOPS |
| Memory Bandwidth | 243 GB/s | 288 GB/s |
Performance Analysis
The RTX 2000 Ada outperforms the Quadro P4000 in raw compute: 12 TFLOPS FP16 and FP32 versus 5.3 TFLOPS. This delta translates to over 2x faster matrix operations in machine learning training, reducing epoch times significantly for models like transformers. Inference benefits similarly, with higher throughput for real-time serving.
Memory capacity doubles from 8 GB GDDR5 to 16 GB GDDR6, enabling larger batch sizes without out-of-memory errors. For instance, training a 7B parameter LLM fits more comfortably on the RTX 2000 Ada. Bandwidth edges up from 243 GB/s to 288 GB/s, accelerating data transfers in memory-bound tasks like large dataset processing.
Power efficiency stands out: the RTX 2000 Ada's 70W TDP versus 105W allows denser cloud instances, lowering cooling costs. In real-world terms, this supports sustained workloads with 126% more performance per watt, ideal for scalable AI pipelines.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.51/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.51/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.51/GPU/hr | Available |
RTX 2000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 2000 Ada Generation 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.24/GPU/hr |
When to Choose the Quadro P4000
The Quadro P4000 suits legacy professional visualization software optimized for Pascal architecture. Applications like older CAD or rendering suites may lack full Ada Lovelace support, ensuring stability with 5.3 TFLOPS FP32 and 8 GB VRAM. Its six cloud offers at $0.51 per hour average provide broader availability for quick provisioning in non-AI tasks.
When to Choose the RTX 2000 Ada
The RTX 2000 Ada excels in modern AI and compute workloads due to 12 TFLOPS FP16/FP32 and 16 GB VRAM. Teams handling machine learning training or inference benefit from doubled performance and bandwidth at $0.29 per hour average. Lower 70W TDP enables efficient scaling in cloud environments.
Use Cases
The RTX 2000 Ada provides 12 TFLOPS FP16 and 16 GB VRAM, enabling larger models and batches compared to the Quadro P4000's 5.3 TFLOPS and 8 GB.
Higher 12 TFLOPS FP16 throughput on the RTX 2000 Ada supports faster query responses. Its 288 GB/s bandwidth handles concurrent requests better than 243 GB/s.
Double VRAM and TFLOPS on RTX 2000 Ada accommodate parameter-efficient fine-tuning without gradient checkpointing needs of the 8 GB Quadro P4000.
RTX 2000 Ada's 16 GB VRAM fits full models at high resolutions. 12 TFLOPS FP16 accelerates diffusion steps over the Quadro P4000's 5.3 TFLOPS.
Superior 12 TFLOPS FP32 and 288 GB/s bandwidth speed simulations. Lower 70W TDP suits long-running HPC jobs versus Quadro P4000's 105W.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 2000 Ada offers 16 GB GDDR6, double the Quadro P4000's 8 GB GDDR5. This supports larger datasets in AI tasks.
What are the compute performance differences?▾
RTX 2000 Ada delivers 12 TFLOPS FP16 and FP32, versus 5.3 TFLOPS on Quadro P4000. Expect over 2x speedup in ML workloads.
How do cloud prices compare?▾
RTX 2000 Ada starts at $0.14 per hour with $0.29 average across three offers. Quadro P4000 averages $0.51 across six offers.
Which is more power efficient?▾
RTX 2000 Ada uses 70W TDP, lower than Quadro P4000's 105W. It provides 126% more performance per watt.
What architectures do they use?▾
Quadro P4000 is Pascal from 2017. RTX 2000 Ada is Ada Lovelace from 2024 with advanced tensor cores.
Which has higher memory bandwidth?▾
RTX 2000 Ada reaches 288 GB/s, up from Quadro P4000's 243 GB/s. This aids memory-intensive computing.
Which is cheaper to rent, the Quadro P4000 or the RTX 2000 Ada?▾
Cloud rental prices for both the Quadro P4000 and RTX 2000 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 P4000 have compared to the RTX 2000 Ada?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.
Can I find Quadro P4000 and RTX 2000 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 P4000 and the RTX 2000 Ada?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 2000 Ada uses Ada Lovelace (2024). The RTX 2000 Ada delivers 2.3x the FP16 throughput and 1.2x the memory bandwidth of the Quadro P4000.