Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-3090 |
|---|---|---|
| TDP | 260W | 350W |
| VRAM | 24 GB | 24 GB |
| CUDA Cores | 4,608 | 10,496 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 576 | 328 |
| FP16 Performance | 16.3 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 35.6 TFLOPS |
| Memory Bandwidth | 672 GB/s | 936 GB/s |
Performance Analysis
The RTX 3090 outperforms the Quadro RTX 6000 significantly in raw compute: 35.6 TFLOPS FP16 and FP32 compared to 16.3 TFLOPS. This delta translates to faster deep learning training times, where FP16 tensor cores accelerate matrix operations by more than double the speed. Inference workloads similarly benefit, handling higher throughput for real-time applications.
Memory bandwidth is a key differentiator: 936 GB/s on the RTX 3090 versus 672 GB/s on the Quadro RTX 6000. Higher bandwidth supports larger batch sizes in training without bottlenecks, reducing effective training epochs. For memory-intensive tasks like large language models, the GDDR6X advantage minimizes data transfer stalls.
Power draw differs at 350W TDP for the RTX 3090 against 260W for the Quadro RTX 6000. While the Ampere card demands more energy, its efficiency per TFLOP improves: approximately 0.102 TFLOPS per watt versus 0.063 TFLOPS per watt. This makes the RTX 3090 preferable for performance-critical cloud deployments despite higher consumption.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 104GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1217GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
When to Choose the Quadro RTX 6000
The Quadro RTX 6000 suits scenarios prioritizing lower power consumption: its 260W TDP consumes 25 percent less than the RTX 3090's 350W. This benefits edge deployments or power-constrained environments where cooling and electricity costs matter.
Professional certifications from the Turing era favor the Quadro RTX 6000 for legacy workstation applications requiring validated stability, despite no current cloud offers on gpuperhour.com.
When to Choose the RTX 3090
The RTX 3090 excels in modern AI tasks due to 35.6 TFLOPS FP16 performance, more than double the Quadro RTX 6000's 16.3 TFLOPS. Its 936 GB/s bandwidth handles large datasets efficiently, ideal for training and inference.
Cloud availability drives selection: pricing starts at $0.08 per hour across 49 offers, averaging $0.42 per hour. Ampere architecture ensures better software support for current frameworks.
Use Cases
The RTX 3090's 35.6 TFLOPS FP16 doubles the Quadro RTX 6000's 16.3 TFLOPS, accelerating large model training. Higher 936 GB/s bandwidth supports bigger batches without slowdowns.
RTX 3090 achieves 35.6 TFLOPS FP16 for higher inference throughput than the 16.3 TFLOPS of Quadro RTX 6000. Its availability at $0.08 per hour enables scalable deployments.
Ampere's 35.6 TFLOPS FP32 outperforms Turing's 16.3 TFLOPS, speeding fine-tuning iterations. 24 GB VRAM matches, but bandwidth edge aids efficiency.
RTX 3090's 936 GB/s bandwidth excels in image generation pipelines over 672 GB/s. Superior FP16 performance generates outputs faster.
35.6 TFLOPS FP32 provides over twice the simulation speed of 16.3 TFLOPS. NVLink support matches for multi-GPU scientific clusters.
Frequently Asked Questions
Which GPU has more VRAM?▾
Both the Quadro RTX 6000 and RTX 3090 offer 24 GB VRAM. The RTX 3090 uses GDDR6X for 936 GB/s bandwidth, surpassing the Quadro RTX 6000's GDDR6 at 672 GB/s.
Is the RTX 3090 faster than Quadro RTX 6000?▾
Yes, the RTX 3090 delivers 35.6 TFLOPS in FP16 and FP32, compared to 16.3 TFLOPS on the Quadro RTX 6000. This more than doubles performance for AI workloads.
What are the power requirements?▾
The Quadro RTX 6000 has a 260W TDP, lower than the RTX 3090's 350W. The Ampere card offers better efficiency at 0.102 TFLOPS per watt versus 0.063.
Do both support NVLink?▾
Both GPUs include NVLink interconnect for multi-GPU scaling. They share PCIe form factors, aiding compatibility in clusters.
What is the cloud pricing?▾
RTX 3090 pricing starts at $0.08 per hour, averaging $0.42 per hour across 49 offers on gpuperhour.com. No live offers exist for Quadro RTX 6000.
Which architecture is newer?▾
RTX 3090 uses Ampere from 2020, succeeding Turing in Quadro RTX 6000 from 2018. This yields higher TFLOPS and bandwidth gains.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX 3090?▾
Cloud rental prices for both the Quadro RTX 6000 and RTX 3090 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 3090?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find Quadro RTX 6000 and RTX 3090 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 3090?▾
The Quadro RTX 6000 uses the Turing architecture (2018) while the RTX 3090 uses Ampere (2020). The RTX 3090 delivers 2.2x the FP16 throughput and 1.4x the memory bandwidth of the Quadro RTX 6000.