Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 260W | 400W |
| VRAM | 24 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
The RTX PRO 6000 dominates in raw compute with 125 TFLOPS FP16 and FP32, compared to the Quadro RTX 6000's 16.3 TFLOPS: this enables up to 7.7 times faster matrix operations critical for deep learning training. For inference, the RTX PRO 6000's 2000 TFLOPS FP8 capability accelerates low-precision workloads, absent in the older GPU. Training large models benefits immensely from these metrics, reducing epoch times significantly.
Memory differences prove pivotal: the RTX PRO 6000's 96 GB VRAM and 1792 GB/s bandwidth dwarf the Quadro RTX 6000's 24 GB and 672 GB/s. Higher bandwidth supports larger batch sizes without bottlenecks, ideal for processing extensive datasets in inference or fine-tuning. The Quadro RTX 6000 limits scalability for models exceeding 24 GB, often requiring model parallelism.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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When to Choose the Quadro RTX 6000
The Quadro RTX 6000 fits legacy professional applications like CAD rendering or moderate simulations where 24 GB GDDR6 VRAM and 16.3 TFLOPS suffice. Its 260W TDP consumes less power than the RTX PRO 6000's 400W, suiting constrained environments or on-premises setups without live cloud offers. Users with existing Turing-compatible software avoid upgrade costs for workloads not demanding over 672 GB/s bandwidth.
When to Choose the RTX PRO 6000
The RTX PRO 6000 excels in modern AI pipelines requiring 96 GB GDDR7 VRAM for large language models or high-resolution rendering. At 125 TFLOPS FP16/FP32 and 2000 TFLOPS FP8, it handles training and inference far beyond the Quadro RTX 6000's capabilities. Cloud users benefit from pricing starting at $0.59 per hour across five providers, averaging $1.25 per hour.
Use Cases
The RTX PRO 6000's 125 TFLOPS FP16/FP32 and 96 GB VRAM enable training billion-parameter models with large batch sizes. The Quadro RTX 6000's 16.3 TFLOPS and 24 GB limit scalability.
2000 TFLOPS FP8 on the RTX PRO 6000 accelerates high-throughput inference for massive models. Its 1792 GB/s bandwidth supports real-time queries unlike the Quadro RTX 6000's constraints.
96 GB VRAM on the RTX PRO 6000 accommodates full model fine-tuning without sharding. 125 TFLOPS outperforms the Quadro RTX 6000's 16.3 TFLOPS for faster iterations.
The RTX PRO 6000's higher bandwidth at 1792 GB/s and 125 TFLOPS speed up image generation pipelines. It handles larger resolutions better than the 672 GB/s Quadro RTX 6000.
Quadro RTX 6000's 16.3 TFLOPS suffices for modest simulations under 24 GB. RTX PRO 6000's 125 TFLOPS scales to complex datasets exceeding 96 GB needs.
Frequently Asked Questions
What is the VRAM difference between Quadro RTX 6000 and RTX PRO 6000?▾
The Quadro RTX 6000 has 24 GB GDDR6 VRAM, while the RTX PRO 6000 offers 96 GB GDDR7. This quadruples capacity for larger models. Bandwidth reaches 1792 GB/s on the RTX PRO 6000 versus 672 GB/s.
How do FP32 performance levels compare?▾
Both metrics stand at 16.3 TFLOPS for the Quadro RTX 6000 in FP32. The RTX PRO 6000 delivers 125 TFLOPS, a 7.7 times increase. This boosts compute-intensive tasks significantly.
Is the RTX PRO 6000 available in the cloud?▾
Yes, RTX PRO 6000 has live offers from $0.59 per hour, averaging $1.25 per hour across five providers. Quadro RTX 6000 lacks current cloud availability. NVLink support remains on both.
What are the power requirements?▾
Quadro RTX 6000 draws 260W TDP, lower than the RTX PRO 6000's 400W. Both use PCIe form factors. Higher TDP on RTX PRO 6000 correlates with superior 125 TFLOPS performance.
Does RTX PRO 6000 support FP8?▾
RTX PRO 6000 provides 2000 TFLOPS FP8 for inference acceleration. Quadro RTX 6000 lacks this capability. It enhances low-precision AI workloads on Blackwell architecture.
Which has better memory bandwidth?▾
RTX PRO 6000 achieves 1792 GB/s, over 2.7 times the Quadro RTX 6000's 672 GB/s. This improves data throughput for training. GDDR7 memory contributes to the edge.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX PRO 6000?▾
Cloud rental prices for both the Quadro RTX 6000 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 6000 have compared to the RTX PRO 6000?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find Quadro RTX 6000 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 6000 and the RTX PRO 6000?▾
The Quadro RTX 6000 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 6000.