Specifications Compared
| Spec | QUADRO-RTX-4000 | RTX-3080 |
|---|---|---|
| TDP | 160W | 320W |
| VRAM | 8 GB | 10-12 GB |
| CUDA Cores | 2,304 | 8,704 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 272 |
| FP16 Performance | 7.1 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 29.8 TFLOPS |
| Memory Bandwidth | 416 GB/s | 760 GB/s |
Performance Analysis
Compute capabilities differ starkly: the RTX 3080's 29.8 TFLOPS FP16 performance exceeds the Quadro RTX 4000's 7.1 TFLOPS by over four times, enabling faster neural network training and inference in deep learning pipelines. FP32 parity at these rates means the RTX 3080 accelerates single-precision simulations and model optimization similarly.
Memory bandwidth impacts workload efficiency: 760 GB/s on the RTX 3080 supports larger batch sizes in training compared to 416 GB/s on the Quadro RTX 4000, minimizing data transfer bottlenecks. The RTX 3080's 10-12 GB VRAM accommodates bigger models or datasets than the Quadro's 8 GB, crucial for memory-intensive inference.
Power demands vary: the RTX 3080's 320W TDP doubles the Quadro RTX 4000's 160W, influencing suitability for dense cloud deployments where energy costs matter.
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 |
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 fits low-power professional environments: its 160W TDP consumes half the energy of the RTX 3080's 320W, ideal for edge deployments or power-limited instances. Users reliant on Turing-optimized workstation software benefit from its certified drivers despite the $0.56 per hour average pricing across five offers.
When to Choose the RTX 3080
The RTX 3080 dominates high-performance AI tasks: 29.8 TFLOPS FP16/FP32 throughput and 760 GB/s bandwidth outperform the Quadro RTX 4000's 7.1 TFLOPS and 416 GB/s. At $0.06 per hour starting price across eight offers, it delivers superior value for scalable training and inference.
Use Cases
RTX 3080's 29.8 TFLOPS FP16 and 10-12 GB VRAM manage large language models effectively, surpassing Quadro RTX 4000's 7.1 TFLOPS and 8 GB for faster iterations.
Higher 760 GB/s bandwidth on RTX 3080 supports bigger batches than Quadro RTX 4000's 416 GB/s, reducing latency in real-time serving.
RTX 3080's 29.8 TFLOPS FP32 accelerates parameter updates over Quadro RTX 4000's 7.1 TFLOPS, with more VRAM for complex adapters.
Ampere architecture and 10-12 GB VRAM on RTX 3080 generate images quicker than Turing-based Quadro RTX 4000's 8 GB limits.
Quadro RTX 4000's 160W TDP suits low-power simulations; RTX 3080's 29.8 TFLOPS excels in compute-heavy analyses.
Frequently Asked Questions
Which GPU has higher FP32 performance?▾
The RTX 3080 delivers 29.8 TFLOPS FP32, over four times the Quadro RTX 4000's 7.1 TFLOPS. This gap accelerates training and simulations significantly.
What is the VRAM difference?▾
RTX 3080 offers 10-12 GB GDDR6X versus Quadro RTX 4000's 8 GB GDDR6. More capacity on RTX 3080 handles larger models in AI tasks.
How do cloud prices compare?▾
Quadro RTX 4000 averages $0.56 per hour across five offers; RTX 3080 averages $0.13 per hour across eight offers. RTX 3080 provides better value.
Which has better memory bandwidth?▾
RTX 3080 achieves 760 GB/s, nearly double Quadro RTX 4000's 416 GB/s. Higher bandwidth improves batch processing efficiency.
What are the TDP ratings?▾
Quadro RTX 4000 uses 160W TDP; RTX 3080 requires 320W. Lower TDP on Quadro suits power-constrained setups.
Which architecture is newer?▾
RTX 3080 uses Ampere from 2020; Quadro RTX 4000 uses Turing from 2018. Newer Ampere boosts performance metrics across the board.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX 3080?▾
Cloud rental prices for both the Quadro RTX 4000 and RTX 3080 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 3080?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find Quadro RTX 4000 and RTX 3080 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 3080?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 4.2x the FP16 throughput and 1.8x the memory bandwidth of the Quadro RTX 4000.