Specifications Compared
| Spec | QUADRO-P6000 | RTX-5080 |
|---|---|---|
| TDP | 250W | 360W |
| VRAM | 24 GB | 16 GB |
| CUDA Cores | 3,840 | 10,752 |
| Memory Type | GDDR5X | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 12.6 TFLOPS | 56.3 TFLOPS |
| FP32 Performance | 12.6 TFLOPS | 56.3 TFLOPS |
| Memory Bandwidth | 432 GB/s | 960 GB/s |
Performance Analysis
The RTX 5080's 56.3 TFLOPS FP32 performance exceeds the Quadro P6000's 12.6 TFLOPS by 4.5 times, accelerating machine learning training cycles and enabling quicker model convergence. In FP16 operations, the same 4.5-fold increase supports faster tensor computations critical for deep neural networks. This compute advantage translates to reduced training times for large datasets on the RTX 5080.
Memory bandwidth on the RTX 5080 reaches 960 GB/s, more than double the P6000's 432 GB/s, allowing larger batch sizes in inference and training without data starvation. Higher bandwidth sustains throughput in memory-bound tasks like transformer models. However, the P6000's 24 GB VRAM surpasses the RTX 5080's 16 GB, accommodating bigger models or higher resolutions where capacity trumps speed.
Power draw differs with the RTX 5080 at 360W TDP versus the P6000's 250W, impacting cluster scaling in power-sensitive environments. Both use PCIe form factors, ensuring compatibility in standard cloud instances.
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 5080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 5080 16GB VRAM | 16GB | 0 vCPU 0GB RAM | 🌍global | $0.59/GPU/hr |
When to Choose the Quadro P6000
The Quadro P6000 suits scenarios requiring over 16 GB VRAM, such as loading expansive scientific datasets or legacy visualization models that exceed the RTX 5080's 16 GB capacity. Its 24 GB GDDR5X enables handling of high-resolution renders without swapping to system memory. Lower 250W TDP also fits power-constrained cloud instances better than the RTX 5080's 360W.
When to Choose the RTX 5080
The RTX 5080 excels in compute-intensive AI workloads, where 56.3 TFLOPS FP32 outperforms the P6000's 12.6 TFLOPS by 4.5 times for faster LLM training and inference. Its 960 GB/s bandwidth supports larger batches than the P6000's 432 GB/s, boosting efficiency. At $0.38 average hourly cost, it delivers superior value over the P6000's $1.10.
Use Cases
RTX 5080's 56.3 TFLOPS FP16 exceeds P6000's 12.6 TFLOPS by 4.5 times for faster epochs. Higher 960 GB/s bandwidth handles large batches efficiently.
56.3 TFLOPS FP32 on RTX 5080 delivers 4.5 times the speed of P6000's 12.6 TFLOPS, reducing latency. Lower $0.38/hr cost optimizes high-volume deployments.
RTX 5080's superior 56.3 TFLOPS and 960 GB/s bandwidth accelerate iterations over P6000's 12.6 TFLOPS and 432 GB/s. Cost savings at $0.38/hr average enhance scalability.
Blackwell's 56.3 TFLOPS FP16 boosts image generation speed 4.5 times beyond P6000. 960 GB/s bandwidth supports high-resolution outputs without bottlenecks.
P6000's 24 GB VRAM handles memory-heavy simulations better than RTX 5080's 16 GB. Lower 250W TDP suits constrained environments.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro P6000 provides 24 GB GDDR5X VRAM, exceeding the RTX 5080's 16 GB GDDR7. This makes the P6000 preferable for models demanding over 16 GB capacity.
How do their prices compare in the cloud?▾
RTX 5080 starts at $0.25 per hour with $0.38 average across four offers, cheaper than P6000's $1.10 average across six. This yields significant savings for compute-heavy tasks.
What is the FP32 performance difference?▾
RTX 5080 achieves 56.3 TFLOPS FP32, 4.5 times the Quadro P6000's 12.6 TFLOPS. This gap accelerates training and simulations substantially.
Which has higher memory bandwidth?▾
RTX 5080 offers 960 GB/s, more than double the P6000's 432 GB/s. Greater bandwidth enables larger batch sizes in AI workloads.
What are their TDPs?▾
Quadro P6000 consumes 250W TDP, lower than RTX 5080's 360W. P6000 fits better in power-limited cloud setups.
Which architecture is newer?▾
RTX 5080 uses 2025 Blackwell architecture, advancing beyond P6000's 2016 Pascal. Blackwell provides optimized tensor cores for modern AI.
Which is cheaper to rent, the Quadro P6000 or the RTX 5080?▾
Cloud rental prices for both the Quadro P6000 and RTX 5080 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 5080?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 5080 has 16 GB of GDDR7 memory.
Can I find Quadro P6000 and RTX 5080 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 5080?▾
The Quadro P6000 uses the Pascal architecture (2016) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 4.5x the FP16 throughput and 2.2x the memory bandwidth of the Quadro P6000.