Specifications Compared
| Spec | QUADRO-RTX-5000 | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 230W | 260W |
| VRAM | 16 GB | 48 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
Compute performance defines key workloads: the RTX 8000's 16.3 TFLOPS in FP16 and FP32 outperforms the RTX 5000's 11.2 TFLOPS by 45 percent, accelerating AI training epochs and inference queries. This matters for deep learning where FP16 tensor cores process mixed-precision models faster on the RTX 8000.
Memory bandwidth shapes real-world efficiency: 672 GB/s on the RTX 8000 sustains larger batch sizes in training compared to 448 GB/s on the RTX 5000, reducing data loading stalls in computer vision or NLP. The RTX 8000's 48 GB VRAM accommodates models over 16 GB, enabling full fine-tuning of large transformers without gradient checkpointing, while the RTX 5000 limits to smaller architectures.
Power draw reflects scaling: 260W TDP on the RTX 8000 versus 230W demands more cooling but justifies for throughput gains.
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
The Quadro RTX 5000 suits budget-focused projects. Its $0.82 per hour average pricing across two cloud providers undercuts unavailable RTX 8000 options. With 11.2 TFLOPS FP32 and 16 GB VRAM, it handles Stable Diffusion inference or fine-tuning compact models efficiently. Lower 230W TDP minimizes infrastructure costs in smaller clusters.
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 targets memory-bound applications. 48 GB GDDR6 VRAM fits large LLMs during training, preventing out-of-memory issues that plague the RTX 5000's 16 GB. Superior 672 GB/s bandwidth and 16.3 TFLOPS enable 45 percent faster processing for scientific simulations or high-resolution rendering.
Use Cases
48 GB VRAM supports large language models without fragmentation; 16.3 TFLOPS accelerates multi-epoch training over 11.2 TFLOPS.
Higher 672 GB/s bandwidth sustains high-throughput queries; 48 GB fits multiple concurrent sessions versus 16 GB limits.
16.3 TFLOPS FP16 speeds parameter updates; ample VRAM avoids checkpointing on datasets exceeding 16 GB.
16 GB VRAM suffices for standard resolutions; 11.2 TFLOPS and $0.82 per hour pricing optimize cost for image generation.
672 GB/s bandwidth boosts matrix operations; 48 GB handles complex simulations beyond RTX 5000 capacity.
Frequently Asked Questions
What is the VRAM difference between Quadro RTX 5000 and 8000?▾
The RTX 5000 has 16 GB GDDR6, while the RTX 8000 offers 48 GB GDDR6. This triples capacity for larger models. Bandwidth follows at 448 GB/s versus 672 GB/s.
How do FP32 performance levels compare?▾
RTX 5000 delivers 11.2 TFLOPS FP32; RTX 8000 reaches 16.3 TFLOPS. The 45 percent gain aids training and simulations. FP16 matches these figures on both.
What are the cloud pricing details?▾
RTX 5000 starts at $0.82 per hour average across two providers. RTX 8000 has no live offers currently. TDP is 230W versus 260W.
Do they share the same architecture?▾
Both use Turing from 2018 with NVLink and PCIe support. Differences center on scaling: memory and compute. This ensures software compatibility.
Which has higher power consumption?▾
RTX 8000 draws 260W TDP compared to 230W on RTX 5000. Higher draw correlates with 16.3 TFLOPS output. Cooling needs increase accordingly.
Is RTX 8000 better for large models?▾
Yes, 48 GB VRAM exceeds RTX 5000's 16 GB for LLMs or datasets. 672 GB/s bandwidth prevents bottlenecks. Compute at 16.3 TFLOPS adds speed.
Which is cheaper to rent, the Quadro RTX 5000 or the Quadro RTX 8000?▾
Cloud rental prices for both the Quadro RTX 5000 and Quadro RTX 8000 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 8000?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find Quadro RTX 5000 and Quadro RTX 8000 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 8000?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the Quadro RTX 8000 uses Turing (2018). The Quadro RTX 8000 delivers 1.5x the FP16 throughput and 1.5x the memory bandwidth of the Quadro RTX 5000.