Specifications Compared
| Spec | QUADRO-P4000 | RTX-6000-ADA |
|---|---|---|
| TDP | 105W | 300W |
| VRAM | 8 GB | 48 GB |
| CUDA Cores | 1,792 | 18,176 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 5.3 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 91.1 TFLOPS |
| Memory Bandwidth | 243 GB/s | 960 GB/s |
Performance Analysis
The RTX 6000 Ada's FP16 and FP32 performance of 91.1 TFLOPS dwarfs the Quadro P4000's 5.3 TFLOPS by a factor of 17, translating to dramatically faster training times for deep learning models where FP32 precision is standard. Inference workloads similarly benefit, as higher throughput processes more queries per second on large language models. This compute advantage stems from Ada Lovelace's architectural efficiencies over Pascal.
Memory specifications further favor the RTX 6000 Ada: 48 GB GDDR6 versus 8 GB GDDR5 enables handling models exceeding 8 GB without quantization or offloading, ideal for fine-tuning or multi-modal AI. Bandwidth escalation from 243 GB/s to 960 GB/s supports larger batch sizes in training, minimizing data loading delays and maximizing GPU utilization during gradient computations.
Power and interconnect differences matter for scalability: the P4000's 105W TDP suits compact setups, but the RTX 6000 Ada's 300W and NVLink support multi-GPU configurations for distributed training at scale.
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 6000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 8×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 104 vCPU 640GB RAM 2800GB Storage | Iowa | $0.79/GPU/hr $6.32/hr total (8×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the Quadro P4000
The Quadro P4000 fits scenarios demanding low power and budget constraints. Its 105W TDP integrates easily into power-limited cloud instances or on-premises systems without thermal issues. At an average of $0.51 per hour across 6 offers, it provides economical access for legacy CAD, light rendering, or basic ML inference on models under 8 GB VRAM.
When to Choose the RTX 6000 Ada
The RTX 6000 Ada dominates in performance-intensive applications. With 91.1 TFLOPS FP32 and 48 GB VRAM, it accelerates LLM training and large-scale inference far beyond the P4000's 5.3 TFLOPS and 8 GB limits. Despite a higher average price of $1.20 per hour across 51 offers, its 960 GB/s bandwidth justifies selection for production AI pipelines requiring high throughput.
Use Cases
The RTX 6000 Ada's 48 GB VRAM and 91.1 TFLOPS FP16 performance support large batch sizes and complex models, unlike the P4000's 8 GB and 5.3 TFLOPS limits.
High memory bandwidth of 960 GB/s on the RTX 6000 Ada enables low-latency serving of large models, far exceeding the P4000's 243 GB/s for real-time queries.
RTX 6000 Ada's 91.1 TFLOPS and 48 GB VRAM handle parameter-efficient fine-tuning on billion-parameter models without memory constraints faced by the P4000.
The Ada architecture's 91.1 TFLOPS accelerates diffusion model generation, with 48 GB VRAM supporting high-resolution image batches beyond P4000 capabilities.
RTX 6000 Ada's NVLink interconnect and 960 GB/s bandwidth facilitate parallel simulations, outperforming the PCIe-only P4000 in data-intensive HPC tasks.
Frequently Asked Questions
Which GPU has more VRAM, Quadro P4000 or RTX 6000 Ada?▾
The RTX 6000 Ada features 48 GB GDDR6 VRAM, compared to the Quadro P4000's 8 GB GDDR5. This sixfold increase allows the Ada to manage significantly larger datasets or models. Applications like AI training benefit most from this disparity.
How do the prices compare for cloud rentals?▾
Cloud pricing for the Quadro P4000 starts from $0.51 per hour with an average of $0.51 across 6 offers. The RTX 6000 Ada starts from $0.20 per hour but averages $1.20 across 51 offers. Budget-conscious users may prefer the P4000 for light tasks.
What are the FP32 performance differences?▾
The RTX 6000 Ada delivers 91.1 TFLOPS FP32, while the Quadro P4000 provides 5.3 TFLOPS. This 17x gap accelerates compute-bound workloads like simulations. Training times reduce proportionally on the newer GPU.
Which GPU consumes less power?▾
The Quadro P4000 has a 105W TDP, lower than the RTX 6000 Ada's 300W. Lower power suits edge deployments or cost-sensitive cooling. High-performance needs justify the Ada's higher draw.
Does the RTX 6000 Ada support NVLink?▾
Yes, the RTX 6000 Ada includes NVLink for multi-GPU scaling, absent on the PCIe-only Quadro P4000. This enables faster inter-GPU communication up to 900 GB/s effective bandwidth. Distributed training benefits greatly.
Which is better for AI inference?▾
The RTX 6000 Ada excels with 91.1 TFLOPS FP16 and 960 GB/s bandwidth for high-throughput inference. The P4000's 5.3 TFLOPS limits it to smaller models. Production serving favors the Ada.
Which is cheaper to rent, the Quadro P4000 or the RTX 6000 Ada?▾
Cloud rental prices for both the Quadro P4000 and RTX 6000 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 6000 Ada?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find Quadro P4000 and RTX 6000 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 6000 Ada?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 17.2x the FP16 throughput and 4.0x the memory bandwidth of the Quadro P4000.