Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-4090 |
|---|---|---|
| TDP | 260W | 450W |
| VRAM | 24 GB | 24 GB |
| CUDA Cores | 4,608 | 16,384 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | PCIe 4.0 |
| Tensor Cores | 576 | 512 |
| FP16 Performance | 16.3 TFLOPS | 165 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 82.6 TFLOPS |
| Memory Bandwidth | 672 GB/s | 1,008 GB/s |
Performance Analysis
The RTX 4090 dominates in half-precision compute critical for AI training: its 165 TFLOPS FP16 rate is over 10 times the Quadro RTX 6000's 16.3 TFLOPS, accelerating deep learning epochs significantly. FP32 performance at 82.6 TFLOPS versus 16.3 TFLOPS benefits single-precision workloads like scientific computing or graphics rendering.
Memory bandwidth disparity proves pivotal: 1008 GB/s on the RTX 4090 versus 672 GB/s on the Quadro enables larger batch sizes in training, reducing overhead and improving throughput for models fitting within 24 GB VRAM. The RTX 4090's FP8 support at 660 TFLOPS further optimizes inference on quantized models, unavailable on the older Turing GPU.
Higher 450W TDP on the RTX 4090 reflects its capabilities, but cloud deployment mitigates this with pricing from $0.16 per hour, contrasting the Quadro's 260W draw in environments lacking live offers. These specs translate to real-world speedups of 5-10x in modern ML pipelines.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 64 vCPU 101GB RAM 140GB Storage | Iceland | $0.44/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 88GB RAM 106GB Storage | Iceland | $0.47/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 108GB Storage | Iceland | $0.53/GPU/hr | Available |
When to Choose the Quadro RTX 6000
The Quadro RTX 6000 fits legacy workstation tasks optimized for Turing architecture, such as CAD or simulation software from 2018-2020 eras. Its NVLink interconnect supports multi-GPU scaling unavailable on the RTX 4090's PCIe 4.0, ideal for on-premises clusters. Lower 260W TDP suits power-constrained setups where cloud access is unnecessary.
When to Choose the RTX 4090
The RTX 4090 excels in contemporary AI and rendering workloads requiring peak performance, with 165 TFLOPS FP16 for rapid model training and 1008 GB/s bandwidth for large batches. Cloud availability across 94 offers starting at $0.16 per hour makes it accessible for bursty compute needs, outperforming the Quadro's 16.3 TFLOPS metrics.
Use Cases
RTX 4090's 165 TFLOPS FP16 outperforms Quadro's 16.3 TFLOPS by over 10x, enabling faster training of large models within 24 GB VRAM. Higher 1008 GB/s bandwidth supports bigger batches.
RTX 4090 leverages 660 TFLOPS FP8 and 165 TFLOPS FP16 for high-throughput inference, far exceeding Quadro's 16.3 TFLOPS. Cloud pricing from $0.16/hr facilitates scalable deployment.
Fine-tuning benefits from RTX 4090's 82.6 TFLOPS FP32 and 165 TFLOPS FP16 versus Quadro's 16.3 TFLOPS, reducing iteration times significantly.
RTX 4090's Ada architecture and 1008 GB/s bandwidth accelerate image generation over 5x faster than Quadro's 672 GB/s and 16.3 TFLOPS.
RTX 4090's 82.6 TFLOPS FP32 handles simulations 5x quicker than Quadro's 16.3 TFLOPS, with superior memory bandwidth for complex datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
Both the Quadro RTX 6000 and RTX 4090 offer 24 GB VRAM. The RTX 4090 uses GDDR6X with 1008 GB/s bandwidth, compared to the Quadro's GDDR6 at 672 GB/s.
Is the RTX 4090 faster than the Quadro RTX 6000?▾
Yes, the RTX 4090 provides 165 TFLOPS FP16 and 82.6 TFLOPS FP32, over 10x the Quadro's 16.3 TFLOPS in both. It also supports 660 TFLOPS FP8.
What are the power requirements?▾
The Quadro RTX 6000 has a 260W TDP, lower than the RTX 4090's 450W. This makes the Quadro more power-efficient for on-premises use.
Does the Quadro RTX 6000 support multi-GPU?▾
The Quadro RTX 6000 uses NVLink for multi-GPU interconnects. The RTX 4090 relies on PCIe 4.0 instead.
What is the cloud pricing for these GPUs?▾
RTX 4090 offers start at $0.16 per hour, averaging $0.48 per hour across 94 live deals. No live cloud offers exist for the Quadro RTX 6000.
Which architecture do they use?▾
Quadro RTX 6000 is based on Turing from 2018. RTX 4090 uses Ada Lovelace from 2022, enabling advanced features like FP8 at 660 TFLOPS.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX 4090?▾
Cloud rental prices for both the Quadro RTX 6000 and RTX 4090 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 6000 have compared to the RTX 4090?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find Quadro RTX 6000 and RTX 4090 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 6000 and the RTX 4090?▾
The Quadro RTX 6000 uses the Turing architecture (2018) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 10.1x the FP16 throughput and 1.5x the memory bandwidth of the Quadro RTX 6000.