Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 260W | 400W |
| VRAM | 48 GB | 96 GB |
| CUDA Cores | 4,608 | 21,760 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Turing | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 576 | 680 |
| FP16 Performance | 16.3 TFLOPS | 125 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 125 TFLOPS |
| Memory Bandwidth | 672 GB/s | 1,792 GB/s |
Performance Analysis
Raw compute power differs dramatically: the RTX PRO 6000 achieves 125 TFLOPS in FP16 and FP32, surpassing the Quadro RTX 8000's 16.3 TFLOPS by a factor of about 7.7. For machine learning training, this means RTX PRO 6000 completes epochs faster on large datasets, reducing time from days to hours in typical LLM workflows. Inference benefits similarly, with FP8 at 2000 TFLOPS on RTX PRO 6000 enabling quantized models to run at higher throughputs.
Memory specifications enhance real-world utility: 96 GB GDDR7 VRAM on RTX PRO 6000 doubles the 48 GB GDDR6 of Quadro RTX 8000, accommodating bigger batch sizes without swapping to host memory. Bandwidth of 1792 GB/s versus 672 GB/s cuts bottlenecks in memory-bound tasks, such as Stable Diffusion where pixel data floods pipelines. Larger batches lower per-sample overhead in training.
Power draw reflects capabilities: 400W TDP on RTX PRO 6000 supports sustained peaks, compared to 260W on Quadro RTX 8000. This trade-off suits dense racks but demands better cooling.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 fits power-sensitive or legacy environments: its 260W TDP consumes less energy than the 400W of RTX PRO 6000, ideal for older workstations or edge deployments. With 48 GB VRAM and 672 GB/s bandwidth, it handles CAD rendering and moderate simulations efficiently without cloud latency. Absence of live cloud offers favors on-premises ownership where hardware is already installed.
When to Choose the RTX PRO 6000
The RTX PRO 6000 dominates AI-heavy workloads: 96 GB VRAM and 125 TFLOPS FP16 enable training large LLMs, far beyond Quadro RTX 8000's 48 GB and 16.3 TFLOPS. Cloud pricing from $0.59 per hour across five providers offers scalability without upfront costs. NVLink support scales to clusters for distributed computing.
Use Cases
RTX PRO 6000's 125 TFLOPS FP16 and 96 GB VRAM handle massive datasets and large batches, unlike Quadro RTX 8000's 16.3 TFLOPS and 48 GB limits.
2000 TFLOPS FP8 on RTX PRO 6000 optimizes quantized inference for high throughput; Quadro RTX 8000 lacks this capability at 16.3 TFLOPS FP16.
Higher 125 TFLOPS FP32 speeds iterations on RTX PRO 6000; 1792 GB/s bandwidth supports efficient data loading versus 672 GB/s on Quadro RTX 8000.
RTX PRO 6000's 96 GB VRAM and 1792 GB/s bandwidth enable high-resolution generations at scale; Quadro RTX 8000 bottlenecks at 48 GB and 672 GB/s.
125 TFLOPS FP32 on RTX PRO 6000 accelerates simulations; doubled VRAM over Quadro RTX 8000's 48 GB fits complex datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX PRO 6000 offers 96 GB GDDR7 VRAM, double the 48 GB GDDR6 of the Quadro RTX 8000. This enables larger models in AI tasks. Bandwidth also rises to 1792 GB/s from 672 GB/s.
What is the FP32 performance difference?▾
RTX PRO 6000 delivers 125 TFLOPS FP32, compared to 16.3 TFLOPS on Quadro RTX 8000, a 7.7 times gain. This boosts training and simulation speeds. FP16 matches this delta at 125 versus 16.3 TFLOPS.
How do TDPs compare?▾
Quadro RTX 8000 uses 260W TDP, lower than RTX PRO 6000's 400W. Lower power suits constrained setups. Higher TDP on RTX PRO 6000 supports peak performance.
What are the cloud pricing details for RTX PRO 6000?▾
RTX PRO 6000 starts at $0.59 per hour, averaging $1.25 per hour across five live offers. Quadro RTX 8000 has no live cloud availability. This makes RTX PRO 6000 viable for on-demand use.
Which architecture is newer?▾
RTX PRO 6000 uses Blackwell from 2025, versus Turing 2018 on Quadro RTX 8000. Blackwell adds FP8 at 2000 TFLOPS. Both support NVLink and PCIe.
Can these GPUs interconnect?▾
Both feature NVLink for multi-GPU scaling and PCIe form factors. RTX PRO 6000 leverages this with higher 125 TFLOPS per unit. Quadro RTX 8000 works in legacy clusters.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX PRO 6000?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX PRO 6000 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 PRO 6000?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find Quadro RTX 8000 and RTX PRO 6000 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 PRO 6000?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 7.7x the FP16 throughput and 2.7x the memory bandwidth of the Quadro RTX 8000.