Specifications Compared
| Spec | QUADRO-P4000 | RTX-4080 |
|---|---|---|
| TDP | 105W | 320W |
| VRAM | 8 GB | 16 GB |
| CUDA Cores | 1,792 | 9,728 |
| Memory Type | GDDR5 | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 5.3 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 243 GB/s | 717 GB/s |
Performance Analysis
The RTX 4080 demonstrates superior compute capability: its 48.7 TFLOPS in FP16 and FP32 dwarfs the Quadro P4000's 5.3 TFLOPS, enabling roughly nine times faster matrix operations critical for deep learning. This delta translates to accelerated model training and inference, where FP16 mixed precision halves memory use without precision loss, allowing the RTX 4080 to handle larger networks efficiently.
Memory bandwidth profoundly impacts workloads: the RTX 4080's 717 GB/s supports batch sizes up to three times larger than the P4000's 243 GB/s limit, reducing data bottlenecks in training loops and improving throughput for vision transformers or LLMs. The doubled 16 GB VRAM on the RTX 4080 accommodates models exceeding 8 GB, preventing out-of-memory errors common on the P4000.
Higher TDP of 320W on the RTX 4080 reflects its density, yet cloud pricing favors it at an average $0.28 per hour versus $0.51 for the P4000, yielding better performance per dollar despite increased power.
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 4080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Quadro P4000
The Quadro P4000 suits legacy professional applications certified for its Pascal drivers, such as CAD software requiring 8 GB VRAM and 243 GB/s bandwidth without Ada-specific optimizations. Its 105W TDP fits power-constrained environments like mobile workstations or older cloud instances lacking high-wattage support. At $0.51 per hour, it remains viable where Quadro ecosystem compatibility trumps raw speed.
When to Choose the RTX 4080
The RTX 4080 excels in modern AI and rendering tasks demanding high throughput: 48.7 TFLOPS FP16/FP32 and 717 GB/s bandwidth accelerate training and Stable Diffusion by factors of nine over the P4000. With 16 GB VRAM, it manages large models seamlessly. Priced from $0.11 per hour, it delivers unmatched value for scalable cloud workloads.
Use Cases
The RTX 4080's 48.7 TFLOPS FP16 and 16 GB VRAM enable training of large models with big batches, far surpassing the P4000's 5.3 TFLOPS and 8 GB limit.
RTX 4080's 717 GB/s bandwidth supports high-throughput inference at low latency, while 48.7 TFLOPS handles concurrent requests efficiently compared to P4000's constraints.
With 16 GB VRAM and ninefold FP32 performance at 48.7 TFLOPS, the RTX 4080 fine-tunes mid-sized LLMs rapidly, avoiding the P4000's memory bottlenecks.
RTX 4080 generates images faster via 48.7 TFLOPS FP16 and higher bandwidth, scaling to high resolutions unlike the P4000's 5.3 TFLOPS limitation.
The RTX 4080's 48.7 TFLOPS FP32 outperforms the P4000's 5.3 TFLOPS in simulations, with 717 GB/s bandwidth aiding data-intensive HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 4080 provides 16 GB GDDR6X VRAM, double the Quadro P4000's 8 GB GDDR5. This allows the RTX 4080 to load larger models without swapping.
What is the performance difference in TFLOPS?▾
RTX 4080 delivers 48.7 TFLOPS in FP16 and FP32, compared to 5.3 TFLOPS for the Quadro P4000. This yields approximately nine times the compute power.
How do cloud prices compare?▾
RTX 4080 starts at $0.11 per hour with an average of $0.28 across eight offers, versus Quadro P4000's $0.51 per hour across six offers. The RTX 4080 offers better value.
Which has higher memory bandwidth?▾
RTX 4080 achieves 717 GB/s, nearly three times the Quadro P4000's 243 GB/s. Higher bandwidth improves batch processing in ML tasks.
What are the TDP ratings?▾
Quadro P4000 consumes 105W, suitable for low-power setups, while RTX 4080 requires 320W for its enhanced 48.7 TFLOPS performance.
Which architecture is newer?▾
RTX 4080 uses Ada Lovelace from 2022, advancing beyond Quadro P4000's Pascal from 2017. This brings optimizations for modern AI workloads.
Which is cheaper to rent, the Quadro P4000 or the RTX 4080?▾
Cloud rental prices for both the Quadro P4000 and RTX 4080 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 4080?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find Quadro P4000 and RTX 4080 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 4080?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 9.2x the FP16 throughput and 3.0x the memory bandwidth of the Quadro P4000.