Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-3090 |
|---|---|---|
| TDP | 260W | 350W |
| VRAM | 48 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 Ti demonstrates superior compute capability: its 40 TFLOPS FP16 and FP32 ratings exceed the Quadro RTX 8000's 16.3 TFLOPS by 145 percent. This gap accelerates deep learning training and inference, where FP32 handles general matrix operations and FP16 enables mixed-precision training for faster iterations without accuracy loss. Real-world training times reduce significantly on the RTX 3090 Ti for models like transformers. Memory bandwidth tells another story: 1008 GB/s on the RTX 3090 Ti versus 672 GB/s supports larger batch sizes, minimizing data loading bottlenecks during optimization loops. The Quadro RTX 8000's 48 GB VRAM capacity outperforms the RTX 3090 Ti's 24 GB for datasets exceeding 24 GB, preventing out-of-memory errors in large-scale simulations or fine-tuning. Ampere architecture adds efficiency improvements over Turing, including better tensor core utilization for AI workloads.
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 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 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 8000
The Quadro RTX 8000 suits scenarios demanding over 24 GB VRAM: training massive language models or scientific simulations with datasets larger than the RTX 3090 Ti's 24 GB GDDR6X can handle. Its 48 GB GDDR6 enables bigger effective batch sizes in memory-constrained environments. Lower 260 W TDP fits power-limited workstations better than the RTX 3090 Ti's 450 W draw.
When to Choose the RTX 3090 Ti
The RTX 3090 Ti excels in performance-driven tasks: 40 TFLOPS FP16 and FP32 deliver 145 percent more compute than the Quadro RTX 8000's 16.3 TFLOPS for faster AI training and inference. Higher 1008 GB/s bandwidth supports efficient large-batch processing. Cloud availability at $0.10 per hour average $0.25 per hour across five offers makes it practical for scalable deployments.
Use Cases
48 GB VRAM on the Quadro RTX 8000 accommodates larger models and batches exceeding the RTX 3090 Ti's 24 GB limit. Higher memory capacity prevents swapping in memory-intensive training runs.
RTX 3090 Ti's 40 TFLOPS FP16 outperforms the Quadro RTX 8000's 16.3 TFLOPS for lower latency on inference queries. 1008 GB/s bandwidth handles high-throughput serving efficiently.
40 TFLOPS compute on RTX 3090 Ti accelerates gradient updates over Quadro RTX 8000's 16.3 TFLOPS. Cloud pricing from $0.10 per hour suits iterative experimentation.
RTX 3090 Ti's Ampere architecture and 1008 GB/s bandwidth optimize image generation pipelines better than Turing's 672 GB/s. 40 TFLOPS supports faster diffusion steps.
48 GB VRAM enables complex simulations with large grids on Quadro RTX 8000. 260 W TDP suits sustained precision FP32 workloads at 16.3 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM, doubling the RTX 3090 Ti's 24 GB GDDR6X. This advantage aids memory-heavy tasks like large model training. Bandwidth differs at 672 GB/s versus 1008 GB/s.
Which is faster for AI workloads?▾
RTX 3090 Ti leads with 40 TFLOPS FP16 and FP32, 145 percent above Quadro RTX 8000's 16.3 TFLOPS. Ampere architecture enhances tensor operations over Turing. Higher 1008 GB/s bandwidth boosts batch processing.
What are the power requirements?▾
Quadro RTX 8000 consumes 260 W TDP, lower than RTX 3090 Ti's 450 W. This makes Quadro suitable for constrained power setups. Both use PCIe form factor.
Is cloud pricing available?▾
RTX 3090 Ti offers from $0.10 per hour, averaging $0.25 per hour across five providers. Quadro RTX 8000 has no live cloud offers. NVLink interconnect supports both.
Which architecture is newer?▾
RTX 3090 Ti uses Ampere from 2020, succeeding Quadro RTX 8000's Turing of 2018. Ampere delivers 40 TFLOPS versus 16.3 TFLOPS. Both feature NVLink.
Do they support NVLink?▾
Both Quadro RTX 8000 and RTX 3090 Ti include NVLink interconnect for multi-GPU scaling. This enables pooled memory up to 48 GB per Quadro or 24 GB per RTX 3090 Ti. PCIe form factor is standard.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 3090?▾
Cloud rental prices for both the Quadro RTX 8000 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 8000 have compared to the RTX 3090?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find Quadro RTX 8000 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 8000 and the RTX 3090?▾
The Quadro RTX 8000 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 8000.