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
The RTX 4080 dominates in raw compute with 48.7 TFLOPS in FP16 and FP32 compared to the Quadro RTX 4000's 7.1 TFLOPS, enabling approximately 6.8 times faster matrix operations essential for deep learning. This delta translates to quicker model training epochs and inference latencies: training a large language model on the RTX 4080 completes in far less wall-clock time than on the older Turing GPU. Both maintain equal FP16 to FP32 ratios, suiting mixed-precision workflows without penalty. Memory specifications further favor the RTX 4080: 16 GB GDDR6X versus 8 GB GDDR6 supports larger models or batch sizes without out-of-memory errors, while 717 GB/s bandwidth versus 416 GB/s reduces data transfer bottlenecks during high-throughput inference. Higher bandwidth permits batch sizes up to 50 percent larger in memory-bound tasks like Stable Diffusion, minimizing idle time and accelerating iterations. The Quadro RTX 4000's lower 160 W TDP aids power-sensitive deployments, but the RTX 4080's efficiency per watt yields better overall throughput.
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
| 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 suits legacy professional applications certified for Turing architecture, such as CAD or simulation software requiring ISV validations unavailable on consumer RTX cards. Its 160 W TDP enables higher density in power-constrained cloud instances compared to the 320 W RTX 4080. At $0.56 per hour average, it fits short, low-volume tasks where 8 GB VRAM and 416 GB/s bandwidth suffice without overprovisioning.
When to Choose the RTX 4080
The RTX 4080 excels in modern AI workloads demanding high performance per dollar, with 48.7 TFLOPS and 16 GB VRAM handling large models infeasible on the Quadro RTX 4000's 7.1 TFLOPS and 8 GB. Its $0.28 per hour average cost across 8 offers delivers superior value for training or inference. Users prioritize it for scalable cloud runs where 717 GB/s bandwidth supports demanding batch sizes.
Use Cases
The RTX 4080's 48.7 TFLOPS FP16 performance and 16 GB VRAM enable training larger models with bigger batches than the Quadro RTX 4000's 7.1 TFLOPS and 8 GB limits.
With 717 GB/s bandwidth, the RTX 4080 handles high-concurrency inference requests efficiently, far outpacing the Quadro RTX 4000's 416 GB/s for real-time serving.
Fine-tuning benefits from the RTX 4080's 48.7 TFLOPS and doubled VRAM, reducing epochs compared to the Quadro RTX 4000's constraints.
The RTX 4080's higher bandwidth and VRAM support larger image resolutions and faster generation times versus the Quadro RTX 4000.
Compute-intensive simulations leverage the RTX 4080's 6.8x FP32 advantage over the Quadro RTX 4000 for quicker results.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 4000 or RTX 4080?▾
The RTX 4080 provides 16 GB of GDDR6X VRAM, double the Quadro RTX 4000's 8 GB GDDR6. This allows the RTX 4080 to manage larger datasets or models without swapping. Cloud pricing favors the RTX 4080 at an average of $0.28 per hour.
How do their FP32 performances compare?▾
The RTX 4080 delivers 48.7 TFLOPS FP32, compared to the Quadro RTX 4000's 7.1 TFLOPS, a 6.8-fold increase. This boosts training and simulation speeds significantly. Both share identical FP16 to FP32 ratios.
What is the memory bandwidth difference?▾
RTX 4080 bandwidth reaches 717 GB/s with GDDR6X, versus 416 GB/s on the Quadro RTX 4000's GDDR6. Higher bandwidth reduces bottlenecks in batch processing. It supports the RTX 4080's lower $0.11 per hour starting price.
Which has lower power consumption?▾
The Quadro RTX 4000 uses 160 W TDP, half the RTX 4080's 320 W. This suits dense, power-limited clusters. However, the RTX 4080 offers better performance per watt overall.
What are the current cloud rental prices?▾
Quadro RTX 4000 averages $0.56 per hour across 5 offers, while RTX 4080 averages $0.28 per hour across 8 offers starting at $0.11. The RTX 4080 provides stronger value for compute tasks. Prices reflect real-time listings on gpuperhour.com.
Which architecture is newer?▾
RTX 4080 uses 2022 Ada Lovelace architecture, versus the Quadro RTX 4000's 2018 Turing. Ada Lovelace yields higher efficiency in AI workloads. This generational gap explains the performance disparity.
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.