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
Performance differences between the Quadro RTX 6000 and RTX 3090 Ti stem primarily from architectural advancements and raw specifications. The RTX 3090 Ti's 35.6 TFLOPS FP16 and FP32 throughput surpasses the Quadro RTX 6000's 16.3 TFLOPS by more than double, accelerating deep learning training epochs and inference queries significantly faster. For training large language models, this FP16 advantage halves computation times on equivalent datasets.
Memory bandwidth plays a critical role in batch size scalability: the RTX 3090 Ti's 936 GB/s enables larger batches without bottlenecks, ideal for inference serving high concurrency. The Quadro RTX 6000's 672 GB/s limits it to smaller batches, potentially requiring model sharding. Higher TDP of 350W on the RTX 3090 Ti versus 260W demands robust cooling but yields superior sustained performance in prolonged workloads.
These specs translate to real-world gains where Ampere efficiency shines: the RTX 3090 Ti processes FP32 scientific simulations 118 percent faster, leveraging GDDR6X for data-heavy tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090 Ti
| 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 153GB 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 1440GB 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 excels in power-constrained environments or legacy professional software certified for Turing architecture. Its 260W TDP consumes 26 percent less power than the RTX 3090 Ti's 350W, suiting edge deployments or older servers without high-wattage PSUs. Professionals in CAD or simulation suites optimized for Quadro drivers benefit from its stability, despite lacking current cloud offers.
When to Choose the RTX 3090 Ti
Opt for the RTX 3090 Ti in performance-critical modern AI pipelines demanding high throughput. Its 35.6 TFLOPS FP16/FP32 and 936 GB/s bandwidth outperform the Quadro RTX 6000 by over 100 percent, ideal for LLM training or Stable Diffusion generation. Cloud pricing from $0.10 per hour makes it accessible for scalable rentals across five providers.
Use Cases
The RTX 3090 Ti's 35.6 TFLOPS FP16 doubles the Quadro RTX 6000's 16.3 TFLOPS, reducing training times for large models. Higher 936 GB/s bandwidth supports bigger batches.
RTX 3090 Ti handles inference at 35.6 TFLOPS FP16 with 936 GB/s bandwidth for high concurrency. Quadro RTX 6000's lower specs limit throughput.
Ampere architecture and 35.6 TFLOPS FP32 accelerate fine-tuning iterations faster than Turing's 16.3 TFLOPS. GDDR6X bandwidth aids dataset loading.
RTX 3090 Ti generates images quicker via 35.6 TFLOPS and 24 GB VRAM matching needs. Bandwidth edge over 672 GB/s speeds diffusion steps.
Both offer 24 GB VRAM for simulations; RTX 3090 Ti's higher FP32 wins speed, but Quadro RTX 6000 suffices in power-limited or certified setups.
Frequently Asked Questions
Which GPU has higher FP32 performance?▾
The RTX 3090 Ti achieves 35.6 TFLOPS FP32, surpassing the Quadro RTX 6000's 16.3 TFLOPS by 118 percent. This benefits compute-intensive tasks like simulations.
Do they have the same VRAM?▾
Both feature 24 GB VRAM, with Quadro RTX 6000 using GDDR6 and RTX 3090 Ti using faster GDDR6X. This equality suits large model hosting.
What is the memory bandwidth difference?▾
RTX 3090 Ti provides 936 GB/s, 39 percent above Quadro RTX 6000's 672 GB/s. Higher bandwidth improves batch processing in ML.
Which has lower power consumption?▾
Quadro RTX 6000 draws 260W TDP versus RTX 3090 Ti's 350W. Lower TDP fits constrained power budgets.
Is cloud pricing available for these GPUs?▾
RTX 3090 Ti starts at $0.10 per hour averaging $0.25 across five offers. Quadro RTX 6000 has no live cloud availability.
What architectures do they use?▾
Quadro RTX 6000 employs Turing from 2018; RTX 3090 Ti uses Ampere from 2020. Newer Ampere yields better efficiency.
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.