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
The RTX 3080 Ti dominates compute workloads: its 29.8 TFLOPS in FP16 and FP32 exceeds the Quadro RTX 4000's 7.1 TFLOPS by a factor of 4.2, accelerating machine learning training and inference significantly. Training large neural networks benefits from this, as higher throughput processes more iterations per hour.
Memory bandwidth of 760 GB/s on the RTX 3080 Ti, compared to 416 GB/s, enables larger batch sizes without data starvation, optimizing GPU utilization during backpropagation. The 10 to 12 GB VRAM capacity handles bigger models or datasets than the 8 GB limit, minimizing swapping to host memory. Higher TDP of 320W reflects this capability, though it demands robust cooling versus the Quadro RTX 4000's 160W.
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 cloud instances: its 160W TDP consumes half the energy of the RTX 3080 Ti's 320W, suiting dense multi-GPU setups or budget power allocations. It serves stable professional visualization tasks where Turing architecture suffices at 7.1 TFLOPS FP32, despite $0.56 per hour pricing.
When to Choose the RTX 3080 Ti
The RTX 3080 Ti outperforms in high-throughput AI: 29.8 TFLOPS FP16 enables rapid model training, while 760 GB/s bandwidth and 10 to 12 GB VRAM support demanding workloads. Cloud pricing from $0.08 per hour delivers superior value over the Quadro RTX 4000's $0.56 per hour.
Use Cases
RTX 3080 Ti's 29.8 TFLOPS FP16 and 10-12 GB VRAM handle large language models far faster than Quadro RTX 4000's 7.1 TFLOPS and 8 GB.
Higher 29.8 TFLOPS FP16 on RTX 3080 Ti speeds up inference queries; 760 GB/s bandwidth supports high concurrency versus 416 GB/s.
RTX 3080 Ti's 4.2x FP32 performance at 29.8 TFLOPS accelerates fine-tuning iterations compared to 7.1 TFLOPS on Quadro RTX 4000.
RTX 3080 Ti's extra VRAM up to 12 GB and 760 GB/s bandwidth generate images quicker than Quadro RTX 4000's 8 GB and 416 GB/s.
Quadro RTX 4000's 160W TDP suits power-limited simulations; 7.1 TFLOPS FP32 suffices for many serial tasks where cost or heat matters more than peak speed.
Frequently Asked Questions
Which GPU performs better in FP32?▾
The RTX 3080 Ti delivers 29.8 TFLOPS FP32, 4.2 times the Quadro RTX 4000's 7.1 TFLOPS. This gap shortens training times substantially. Bandwidth at 760 GB/s further aids compute-heavy jobs.
What are the VRAM and bandwidth specs?▾
Quadro RTX 4000 offers 8 GB GDDR6 and 416 GB/s bandwidth. RTX 3080 Ti provides 10-12 GB GDDR6X and 760 GB/s. Higher specs reduce bottlenecks in large models.
How do cloud prices compare?▾
Quadro RTX 4000 starts at $0.56 per hour average across five offers. RTX 3080 Ti begins at $0.08 per hour, averaging $0.14 across four offers. This makes RTX 3080 Ti far cheaper per TFLOP.
Which has lower power draw?▾
Quadro RTX 4000 TDP is 160W, half the RTX 3080 Ti's 320W. Lower TDP fits constrained environments. Performance scales with power on RTX 3080 Ti.
Is RTX 3080 Ti newer?▾
RTX 3080 Ti uses Ampere architecture from 2020; Quadro RTX 4000 is Turing from 2018. Newer design yields 29.8 TFLOPS versus 7.1 TFLOPS. Both use PCIe form factors.
Better for AI inference?▾
RTX 3080 Ti excels with 29.8 TFLOPS FP16 and 10-12 GB VRAM for high-volume inference. Quadro RTX 4000's 7.1 TFLOPS limits scale. Pricing favors RTX 3080 Ti at $0.08 per hour.
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.
