Specifications Compared
| Spec | QUADRO-RTX-4000 | RTX-4080 |
|---|---|---|
| TDP | 160W | 320W |
| VRAM | 8 GB | 16 GB |
| CUDA Cores | 2,304 | 9,728 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 304 |
| FP16 Performance | 7.1 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 416 GB/s | 717 GB/s |
Performance Analysis
Compute performance differs starkly between these GPUs: the RTX 4080 SUPER achieves 48.7 TFLOPS in FP16 and FP32, surpassing the Quadro RTX 4000's 7.1 TFLOPS by a factor of nearly seven. This gap accelerates deep learning training cycles and inference throughput, reducing time for model iterations from hours to minutes in large-scale tasks.
Memory specifications favor the RTX 4080 SUPER for modern workloads. Its 16 GB GDDR6X VRAM handles bigger models or batch sizes than the Quadro RTX 4000's 8 GB GDDR6, preventing out-of-memory errors in transformer-based architectures. The 717 GB/s bandwidth minimizes data transfer bottlenecks, supporting batch sizes up to 50 percent larger in memory-bound inference compared to 416 GB/s.
Power draw reflects capability differences: the RTX 4080 SUPER requires 320W TDP versus 160W for the Quadro RTX 4000. Higher TDP enables sustained peak performance in dense cloud instances, though it demands robust cooling. Overall, these specs position the RTX 4080 SUPER for high-efficiency AI pipelines.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/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 RTX 4000
The Quadro RTX 4000 fits environments with power budgets capped at 160W TDP. It integrates seamlessly into legacy PCIe systems or mobile workstations where 320W exceeds limits. Professional applications certified for Quadro cards, such as CAD visualization, leverage its stability despite the $0.56 per hour cloud cost.
When to Choose the RTX 4080 SUPER
The RTX 4080 SUPER dominates high-performance AI tasks with 48.7 TFLOPS FP16/FP32 and 16 GB VRAM. It excels in training large language models or running Stable Diffusion at scale, where 717 GB/s bandwidth sustains large batches. Cloud pricing from $0.17 per hour delivers superior value over the Quadro RTX 4000 for throughput-focused users.
Use Cases
The RTX 4080 SUPER's 16 GB VRAM and 48.7 TFLOPS handle large transformer models without memory constraints. The Quadro RTX 4000's 8 GB limits batch sizes and scales poorly.
48.7 TFLOPS and 717 GB/s bandwidth on RTX 4080 SUPER enable high-throughput serving. Quadro RTX 4000's 7.1 TFLOPS causes latency spikes under load.
RTX 4080 SUPER supports efficient fine-tuning of 7B+ parameter models with 16 GB VRAM. The 7.1 TFLOPS on Quadro RTX 4000 extends training times significantly.
16 GB VRAM and 717 GB/s bandwidth accelerate image generation pipelines on RTX 4080 SUPER. Quadro RTX 4000's 8 GB VRAM restricts resolution and batch counts.
RTX 4080 SUPER's 48.7 TFLOPS FP32 outperforms Quadro RTX 4000's 7.1 TFLOPS in simulations. Higher bandwidth aids data-intensive HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM, Quadro RTX 4000 or RTX 4080 SUPER?▾
The RTX 4080 SUPER provides 16 GB GDDR6X VRAM, double the Quadro RTX 4000's 8 GB GDDR6. This enables larger models in AI tasks. Bandwidth also favors RTX 4080 SUPER at 717 GB/s over 416 GB/s.
How do compute performances compare?▾
RTX 4080 SUPER delivers 48.7 TFLOPS in FP16 and FP32, compared to 7.1 TFLOPS on Quadro RTX 4000. This results in up to seven times faster training and inference. The difference stems from Ada Lovelace versus Turing architecture.
What are the cloud rental prices?▾
Quadro RTX 4000 starts at $0.56 per hour, averaging $0.56 across five offers. RTX 4080 SUPER begins at $0.17 per hour, averaging $0.32 across three offers. RTX 4080 SUPER offers better value for performance.
Which has lower power consumption?▾
Quadro RTX 4000 uses 160W TDP, half the RTX 4080 SUPER's 320W. Choose Quadro for power-constrained setups. RTX 4080 SUPER justifies higher draw with superior compute.
Is RTX 4080 SUPER better for machine learning?▾
Yes, its 48.7 TFLOPS, 16 GB VRAM, and 717 GB/s bandwidth excel in ML training and inference. Quadro RTX 4000's specs limit it to lighter workloads. Cloud pricing reinforces RTX 4080 SUPER dominance.
What architectures do they use?▾
Quadro RTX 4000 employs Turing from 2018. RTX 4080 SUPER uses Ada Lovelace from 2022. The newer architecture drives the performance leap to 48.7 TFLOPS.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX 4080?▾
Cloud rental prices for both the Quadro RTX 4000 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 RTX 4000 have compared to the RTX 4080?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find Quadro RTX 4000 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 RTX 4000 and the RTX 4080?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 6.9x the FP16 throughput and 1.7x the memory bandwidth of the Quadro RTX 4000.