Specifications Compared
| Spec | QUADRO-P6000 | RTX-4070 |
|---|---|---|
| TDP | 250W | 200W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 3,840 | 5,888 |
| Memory Type | GDDR5X | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 12.6 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 12.6 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 432 GB/s | 504 GB/s |
Performance Analysis
Compute performance differs starkly: the RTX 4070 SUPER achieves 35.5 TFLOPS in FP16 and FP32, surpassing the Quadro P6000's 12.6 TFLOPS by 182 percent. This advantage accelerates machine learning training, where FP16 mixed precision halves memory use while speeding iterations, and inference, enabling higher throughput for real-time applications.
Memory bandwidth of 504 GB/s on the 4070 SUPER exceeds the P6000's 432 GB/s, supporting larger batch sizes in training without stalling data flow. The P6000's 24 GB VRAM accommodates bigger models than the 4070 SUPER's 12 GB, but lower bandwidth constrains overall efficiency in bandwidth-sensitive workloads.
The 4070 SUPER's 220 W TDP offers better efficiency than the P6000's 250 W, reducing operational costs in multi-GPU cloud setups.
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 4070 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Quadro P6000
The Quadro P6000 suits memory-intensive professional workloads: its 24 GB GDDR5X VRAM handles large-scale visualization, CAD simulations, or legacy HPC tasks exceeding the RTX 4070 SUPER's 12 GB capacity. Quadro certifications ensure stability in enterprise software from 2016.
Availability at an average $1.10 per hour across six cloud providers makes it economical for infrequent, VRAM-heavy jobs where compute speed is less critical.
When to Choose the RTX 4070 SUPER
The RTX 4070 SUPER outperforms in modern compute tasks: 35.5 TFLOPS FP32 triples the P6000's 12.6 TFLOPS for rapid LLM training and Stable Diffusion generation. Superior 504 GB/s bandwidth enables efficient large-batch inference.
Ada Lovelace features like improved tensor cores and 220 W TDP position it ideally for AI development when cloud instances become available.
Use Cases
The RTX 4070 SUPER's 35.5 TFLOPS FP16 performance accelerates training iterations over the P6000's 12.6 TFLOPS. Higher bandwidth at 504 GB/s supports effective batch processing.
RTX 4070 SUPER inference benefits from 35.5 TFLOPS FP16 and 504 GB/s bandwidth for high-throughput serving. It handles modern model demands better than P6000's 12.6 TFLOPS.
P6000's 24 GB VRAM fits larger models for fine-tuning; RTX 4070 SUPER's 35.5 TFLOPS speeds smaller ones. Choice depends on model size versus speed priority.
Ada Lovelace optimizations and 35.5 TFLOPS on RTX 4070 SUPER generate images faster than P6000's 12.6 TFLOPS Pascal architecture.
Quadro P6000's 24 GB VRAM manages extensive datasets in simulations; $1.10 per hour pricing aids cost-sensitive research.
Frequently Asked Questions
Which GPU has more VRAM: Quadro P6000 or RTX 4070 SUPER?▾
The Quadro P6000 provides 24 GB GDDR5X VRAM, double the RTX 4070 SUPER's 12 GB GDDR6X. This makes the P6000 better for memory-heavy tasks. Bandwidth remains lower at 432 GB/s versus 504 GB/s.
What is the FP32 performance difference?▾
RTX 4070 SUPER delivers 35.5 TFLOPS FP32, nearly three times the Quadro P6000's 12.6 TFLOPS. This gap impacts training speed significantly. FP16 matches these figures on both GPUs.
How much does Quadro P6000 cost in the cloud?▾
Cloud pricing for Quadro P6000 starts from $1.10 per hour, averaging $1.10 across six live offers. RTX 4070 SUPER has no current offers. Costs suit legacy workloads.
Which has higher memory bandwidth?▾
RTX 4070 SUPER offers 504 GB/s bandwidth, exceeding Quadro P6000's 432 GB/s by 17 percent. This aids larger batches in ML. VRAM capacity differs at 12 GB versus 24 GB.
What are the TDP values?▾
Quadro P6000 consumes 250 W TDP; RTX 4070 SUPER uses 220 W. Lower TDP improves efficiency for the newer GPU. Both use PCIe form factor.
When were these GPUs released?▾
Quadro P6000 launched in 2016 on Pascal architecture. RTX 4070 SUPER arrived in 2024 on Ada Lovelace. The seven-year gap explains performance disparities.
Which is cheaper to rent, the Quadro P6000 or the RTX 4070?▾
Cloud rental prices for both the Quadro P6000 and RTX 4070 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 4070?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find Quadro P6000 and RTX 4070 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 4070?▾
The Quadro P6000 uses the Pascal architecture (2016) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 2.3x the FP16 throughput and 1.2x the memory bandwidth of the Quadro P6000.