Specifications Compared
| Spec | QUADRO-P6000 | RTX-4080 |
|---|---|---|
| TDP | 250W | 320W |
| VRAM | 24 GB | 16 GB |
| CUDA Cores | 3,840 | 9,728 |
| Memory Type | GDDR5X | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 12.6 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 12.6 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 432 GB/s | 717 GB/s |
Performance Analysis
Compute performance differs markedly: the RTX 4080 SUPER achieves 48.7 TFLOPS in both FP16 and FP32, compared to 12.6 TFLOPS on the Quadro P6000, enabling approximately 3.9 times faster training and inference in half-precision and single-precision workloads common in deep learning. This delta accelerates model convergence and reduces iteration times significantly. Memory bandwidth of 717 GB/s on the RTX 4080 SUPER supports larger batch sizes than the P6000's 432 GB/s, minimizing data transfer bottlenecks during training. However, the Quadro P6000's 24 GB VRAM exceeds the RTX 4080 SUPER's 16 GB, allowing single-GPU handling of larger models without sharding, which proves advantageous in inference for oversized datasets.
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 4080 SUPER
| 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 P6000
The Quadro P6000 suits scenarios demanding over 16 GB VRAM, such as high-resolution scientific visualization or legacy CAD applications certified for Pascal Quadro drivers. Its 24 GB GDDR5X capacity handles massive datasets without multi-GPU complexity, ideal for professionals tied to older software stacks where 432 GB/s bandwidth suffices.
When to Choose the RTX 4080 SUPER
The RTX 4080 SUPER excels in contemporary AI and rendering tasks leveraging Ada Lovelace optimizations, with 48.7 TFLOPS FP16/FP32 performance driving rapid LLM training and Stable Diffusion generation. Cloud pricing at $0.17 per hour average makes it economical for high-throughput compute, where 717 GB/s bandwidth boosts efficiency despite 16 GB VRAM.
Use Cases
The RTX 4080 SUPER's 48.7 TFLOPS FP16 performance enables 3.9x faster training than the P6000's 12.6 TFLOPS. Higher 717 GB/s bandwidth supports larger batches despite 16 GB VRAM.
RTX 4080 SUPER inference benefits from 48.7 TFLOPS speed for low-latency serving. Most models fit within 16 GB VRAM, outperforming P6000's slower 12.6 TFLOPS.
Fine-tuning leverages RTX 4080 SUPER's Ada architecture for efficient FP16 at 48.7 TFLOPS. Cost savings at $0.32 per hour average justify it over P6000's higher price.
RTX 4080 SUPER generates images faster via 717 GB/s bandwidth and 48.7 TFLOPS. 16 GB VRAM suffices for typical diffusion models.
Quadro P6000's 24 GB VRAM handles large simulation datasets exceeding 16 GB. Legacy Pascal optimizations fit certified scientific software.
Frequently Asked Questions
Which GPU has more VRAM: Quadro P6000 or RTX 4080 SUPER?▾
The Quadro P6000 provides 24 GB GDDR5X VRAM, surpassing the RTX 4080 SUPER's 16 GB GDDR6X. This makes the P6000 preferable for models exceeding 16 GB. Bandwidth remains lower at 432 GB/s versus 717 GB/s.
How much faster is the RTX 4080 SUPER in FP32 performance?▾
RTX 4080 SUPER delivers 48.7 TFLOPS FP32, 3.9 times the Quadro P6000's 12.6 TFLOPS. This accelerates compute-bound tasks like training. Real-world gains depend on memory limits.
What are the cloud rental prices for these GPUs?▾
Quadro P6000 rents from $1.10 per hour average across 6 offers. RTX 4080 SUPER starts at $0.17 per hour, averaging $0.32 across 3 offers. Pricing favors the newer GPU significantly.
Does the Quadro P6000 support modern AI workloads?▾
Quadro P6000 handles AI with 12.6 TFLOPS FP16 but lags behind RTX 4080 SUPER's 48.7 TFLOPS. Its 24 GB VRAM aids large models. Pascal lacks Ada features like better tensor cores.
Which has higher power consumption?▾
RTX 4080 SUPER draws 320 W TDP, exceeding Quadro P6000's 250 W. Higher TDP correlates with its 48.7 TFLOPS performance. Cloud providers manage thermal limits.
Are both GPUs available in PCIe form factor?▾
Both Quadro P6000 and RTX 4080 SUPER use PCIe form factors. No interconnect differences noted. Compatibility suits standard cloud instances.
Which is cheaper to rent, the Quadro P6000 or the RTX 4080?▾
Cloud rental prices for both the Quadro P6000 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 P6000 have compared to the RTX 4080?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find Quadro P6000 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 P6000 and the RTX 4080?▾
The Quadro P6000 uses the Pascal architecture (2016) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 3.9x the FP16 throughput and 1.7x the memory bandwidth of the Quadro P6000.