Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-5880-ADA |
|---|---|---|
| TDP | 230W | 285W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 3,072 | 14,080 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 384 | 440 |
| FP16 Performance | 11.2 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 69.7 TFLOPS |
| Memory Bandwidth | 448 GB/s | 960 GB/s |
Performance Analysis
Architectural evolution drives superior compute on the RTX 5880 Ada: its 69.7 TFLOPS in FP16 and FP32 exceeds the Quadro RTX 5000's 11.2 TFLOPS by 6.2 times. For machine learning training, this accelerates gradient computations in mixed-precision setups, reducing epochs from days to hours on equivalent datasets. Inference benefits similarly, with faster token generation in large language models due to heightened throughput.
Memory capacity and speed amplify these gains: 48 GB VRAM on the RTX 5880 Ada versus 16 GB on the Quadro RTX 5000 enables larger models and batch sizes without swapping to host RAM. Bandwidth at 960 GB/s compared to 448 GB/s minimizes latency in data-heavy operations, supporting bigger batches in training by over twofold. This proves critical for inference at scale, where memory bottlenecks degrade throughput.
Power consumption rises modestly to 285 W from 230 W, a 24 percent increase aligned with capability uplift. Both share PCIe form factors, easing deployment parity.
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 fits scenarios prioritizing affordability and immediate availability: cloud rentals average $0.82 per hour across two providers. Its 230 W TDP suits power-constrained setups better than the 285 W alternative. NVLink interconnect enables multi-GPU scaling for moderate workloads like legacy CAD or lighter AI fine-tuning where 16 GB VRAM and 11.2 TFLOPS suffice.
When to Choose the RTX 5880 Ada
Select the RTX 5880 Ada for high-performance demands: 69.7 TFLOPS and 48 GB VRAM excel in training massive models or running inference on extensive batches. Bandwidth of 960 GB/s handles data flows efficiently, ideal for modern AI pipelines. Despite no current cloud offers, its specs dominate future-proof applications once availability emerges.
Use Cases
RTX 5880 Ada's 69.7 TFLOPS and 48 GB VRAM support larger models and batches than Quadro RTX 5000's 11.2 TFLOPS and 16 GB. This reduces training time significantly for billion-parameter LLMs.
Higher 960 GB/s bandwidth and 48 GB VRAM on RTX 5880 Ada enable bigger concurrent requests without bottlenecks. Quadro RTX 5000's 448 GB/s limits scale at 16 GB.
69.7 TFLOPS accelerates fine-tuning iterations over Quadro RTX 5000's 11.2 TFLOPS. Extra VRAM handles adapter-heavy or parameter-efficient methods effectively.
48 GB VRAM on RTX 5880 Ada supports high-resolution generations and upscaling, surpassing 16 GB limits on Quadro RTX 5000. 6.2x FLOPS boosts iteration speed.
Quadro RTX 5000 suffices for FP32-bound simulations at 11.2 TFLOPS with NVLink scaling. RTX 5880 Ada's 69.7 TFLOPS excels in memory-intensive parallel tasks.
Frequently Asked Questions
What is the compute performance difference between Quadro RTX 5000 and RTX 5880 Ada?▾
RTX 5880 Ada delivers 69.7 TFLOPS in FP16 and FP32, 6.2 times higher than Quadro RTX 5000's 11.2 TFLOPS. This gap accelerates AI training and inference workloads. Both maintain equal FP16 and FP32 rates for balanced mixed-precision use.
How much VRAM do these GPUs have?▾
Quadro RTX 5000 provides 16 GB GDDR6, while RTX 5880 Ada offers 48 GB GDDR6. The larger capacity supports bigger models and batch sizes in ML tasks. Bandwidth follows suit at 448 GB/s versus 960 GB/s.
What are the cloud pricing details?▾
Quadro RTX 5000 rents from $0.82 per hour on average across two live offers. RTX 5880 Ada has no current cloud availability. Pricing reflects the 2018 Turing versus 2024 Ada generational span.
Which GPU has higher power consumption?▾
RTX 5880 Ada draws 285 W TDP compared to Quadro RTX 5000's 230 W. The 24 percent increase correlates with 6.2 times compute uplift. Both use PCIe form factors.
What architectures power these GPUs?▾
Quadro RTX 5000 uses 2018 Turing architecture with NVLink support. RTX 5880 Ada employs 2024 Ada Lovelace for advanced tensor cores. This yields superior efficiency in modern workloads.
Can these GPUs connect in multi-GPU setups?▾
Quadro RTX 5000 supports NVLink for high-speed inter-GPU links. RTX 5880 Ada lists no specific interconnect, relying on PCIe. Choice depends on scaling needs.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 5880 Ada?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX 5880 Ada 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 RTX 5880 Ada?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find Quadro RTX 5000 and RTX 5880 Ada 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 RTX 5880 Ada?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 5880 Ada uses Ada Lovelace (2024). The RTX 5880 Ada delivers 6.2x the FP16 throughput and 2.1x the memory bandwidth of the Quadro RTX 5000.