Specifications Compared
| Spec | QUADRO-RTX-5000 | QUADRO-RTX-6000 |
|---|---|---|
| TDP | 230W | 260W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 3,072 | 4,608 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 384 | 576 |
| FP16 Performance | 11.2 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 16.3 TFLOPS |
| Memory Bandwidth | 448 GB/s | 672 GB/s |
Performance Analysis
Spec differences translate directly to real-world advantages for the Quadro RTX 6000. Its 16.3 TFLOPS FP16 and FP32 performance exceeds the RTX 5000's 11.2 TFLOPS by 45 percent: this boosts machine learning training speeds and inference throughput, where FP32 handles general computations and FP16 accelerates tensor operations. Larger models train faster on the RTX 6000 due to reduced iteration times.
Memory capacity and bandwidth prove critical for batch processing. The RTX 6000's 24 GB VRAM versus 16 GB supports bigger batch sizes in deep learning, avoiding out-of-memory errors for models exceeding 16 GB. Coupled with 672 GB/s bandwidth against 448 GB/s, data transfers occur 50 percent quicker: this minimizes bottlenecks in training loops and enables handling of high-resolution datasets in rendering or simulations.
Power efficiency varies slightly. The RTX 5000's 230 W TDP consumes less energy than the 260 W of the RTX 6000, suiting prolonged workloads where thermal limits matter. Both leverage Turing's RT cores for ray tracing, but the RTX 6000's superior specs yield up to 45 percent better frame rates in professional visualization.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
When to Choose the Quadro RTX 5000
Select the Quadro RTX 5000 for budget-conscious deployments requiring solid performance without excess capacity. Its 16 GB VRAM and 11.2 TFLOPS FP32 suffice for moderate machine learning models and visualization tasks, while availability at an average $0.82 per hour across two providers ensures immediate access. The lower 230 W TDP reduces cooling demands compared to 260 W alternatives.
This GPU fits single-user workstations or small-scale cloud instances where 448 GB/s bandwidth handles standard datasets efficiently.
When to Choose the Quadro RTX 6000
Opt for the Quadro RTX 6000 when workloads demand maximum Turing-era capabilities. The 24 GB VRAM accommodates large-scale models that exceed 16 GB, and 16.3 TFLOPS performance accelerates training by 45 percent over the RTX 5000. Higher 672 GB/s bandwidth supports intensive data flows in rendering or simulations.
Professionals prioritizing peak throughput benefit, despite current lack of live rental offers and 260 W TDP.
Use Cases
The RTX 6000's 24 GB VRAM handles larger language models without splitting batches, unlike the 16 GB limit of the RTX 5000. Its 16.3 TFLOPS FP16 provides 45 percent faster training iterations.
24 GB VRAM on the RTX 6000 supports bigger inference batches for production-scale LLMs. 672 GB/s bandwidth ensures quicker data throughput than the RTX 5000's 448 GB/s.
Fine-tuning benefits from the RTX 6000's extra 8 GB VRAM for parameter-heavy adapters. 16.3 TFLOPS FP32 speeds convergence by 45 percent over 11.2 TFLOPS.
16 GB VRAM on the RTX 5000 suffices for standard Stable Diffusion resolutions and batch sizes up to 512x512. Lower $0.82 per hour pricing makes it economical for iterative generation.
Both offer NVLink and similar Turing architecture for parallel simulations. Choose RTX 5000 for 230 W efficiency or RTX 6000 for 24 GB VRAM in memory-bound HPC tasks.
Frequently Asked Questions
What is the VRAM difference between Quadro RTX 5000 and RTX 6000?▾
The RTX 5000 has 16 GB GDDR6 VRAM, while the RTX 6000 provides 24 GB GDDR6. This 50 percent increase allows the RTX 6000 to manage larger models and datasets.
Which GPU has higher FP32 performance?▾
The RTX 6000 delivers 16.3 TFLOPS FP32, surpassing the RTX 5000's 11.2 TFLOPS by 45 percent. This advantage accelerates general-purpose computing tasks.
What are the current cloud rental prices?▾
The RTX 5000 rents from $0.82 per hour on average across two live offers. The RTX 6000 currently has no live offers available.
How do their TDPs compare?▾
The RTX 5000 requires 230 W TDP, lower than the RTX 6000's 260 W. This makes the RTX 5000 more power-efficient for sustained workloads.
Do both support NVLink?▾
Yes, both the RTX 5000 and RTX 6000 feature NVLink interconnects for multi-GPU scaling. They also use PCIe form factors.
What architecture powers these GPUs?▾
Both utilize NVIDIA's Turing architecture from 2018. This includes RT cores for ray tracing in professional applications.
Which is cheaper to rent, the Quadro RTX 5000 or the Quadro RTX 6000?▾
Cloud rental prices for both the Quadro RTX 5000 and Quadro RTX 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 5000 have compared to the Quadro RTX 6000?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The Quadro RTX 6000 has 24 GB of GDDR6 memory.
Can I find Quadro RTX 5000 and Quadro RTX 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 5000 and the Quadro RTX 6000?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the Quadro RTX 6000 uses Turing (2018). The Quadro RTX 6000 delivers 1.5x the FP16 throughput and 1.5x the memory bandwidth of the Quadro RTX 5000.