Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-A6000 |
|---|---|---|
| TDP | 230W | 300W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 3,072 | 10,752 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 384 | 336 |
| FP16 Performance | 11.2 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 38.7 TFLOPS |
| Memory Bandwidth | 448 GB/s | 768 GB/s |
Performance Analysis
The RTX A6000 demonstrates superior raw compute power over the Quadro RTX 5000: 38.7 TFLOPS in FP16 and FP32 compared to 11.2 TFLOPS, a 3.5-fold increase. This delta accelerates deep learning training cycles and inference passes, enabling models to process data roughly 3.5 times faster in tensor core-bound operations common to AI pipelines.
Memory specifications further favor the RTX A6000. Its 48 GB GDDR6 VRAM versus 16 GB allows accommodation of larger models or bigger batch sizes during training, minimizing the need for gradient accumulation techniques. The 768 GB/s bandwidth, exceeding the Quadro RTX 5000's 448 GB/s by 71 percent, reduces bottlenecks in data-heavy tasks like LLM fine-tuning, supporting higher throughput without stalling kernels.
Power consumption reflects these gains: the RTX A6000's 300W TDP surpasses the 230W of the Quadro RTX 5000, indicating higher efficiency per watt in Ampere but requiring more cooling in dense cloud deployments.
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 |
RTX A6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A6000 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.40/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A6000 48GB VRAM | 48GB | 9 vCPU 50GB RAM | 🌍global | $0.49/GPU/hr | |||
 Hyperstack | NVIDIA RTX A6000 48GB VRAM | 48GB | 28 vCPU 58GB RAM 100GB Storage | Canada | $0.50/GPU/hr | Available | ||
Hyperstack | 2×NVIDIA RTX A6000 48GB VRAM | 48GB | 60 vCPU 116GB RAM 300GB Storage | Canada | $0.50/GPU/hr $1.00/hr total (2×) | Available | ||
 Massed Compute | NVIDIA RTX A6000 48GB VRAM | 48GB | 6 vCPU 32GB RAM 256GB Storage | Iowa | $0.55/GPU/hr | Available |
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 fits power-sensitive environments: its 230W TDP consumes 23 percent less than the RTX A6000's 300W. It serves legacy workflows optimized for Turing architecture, where 16 GB VRAM and 448 GB/s bandwidth suffice for moderate rendering or simulation tasks at a consistent $0.82 per hour across limited cloud offers.
When to Choose the RTX A6000
The RTX A6000 dominates memory-intensive applications: 48 GB VRAM handles massive datasets three times larger than the Quadro RTX 5000's 16 GB capacity. With 38.7 TFLOPS performance and 768 GB/s bandwidth, it excels in modern AI training and inference, available from $0.25 per hour across 55 cloud offers for greater flexibility.
Use Cases
The RTX A6000's 48 GB VRAM supports larger language models without splitting batches, unlike the 16 GB limit of the Quadro RTX 5000. Its 38.7 TFLOPS FP16 performance accelerates training 3.5 times over 11.2 TFLOPS.
48 GB VRAM enables deployment of full LLMs at higher concurrency than 16 GB allows. 768 GB/s bandwidth sustains faster token generation rates compared to 448 GB/s.
Ampere's 38.7 TFLOPS FP32 outperforms Turing's 11.2 TFLOPS for efficient parameter updates. Extra VRAM handles bigger batches, reducing epochs needed.
Image generation demands high VRAM: 48 GB versus 16 GB prevents out-of-memory errors on high-resolution tasks. Higher bandwidth speeds diffusion steps.
Both offer NVLink for multi-GPU scaling and similar FP32 rates relative to architecture. Choose Quadro RTX 5000 for lower 230W TDP if power-limited; RTX A6000 for 48 GB datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX A6000 provides 48 GB GDDR6 VRAM, three times the 16 GB in the Quadro RTX 5000. This enables handling of larger AI models or datasets. Bandwidth also favors the RTX A6000 at 768 GB/s over 448 GB/s.
Is the RTX A6000 faster than Quadro RTX 5000?▾
Yes, the RTX A6000 achieves 38.7 TFLOPS in FP16 and FP32, 3.5 times higher than the 11.2 TFLOPS of the Quadro RTX 5000. This boosts training and inference speeds significantly. Ampere architecture from 2020 outperforms Turing from 2018.
What are the cloud rental prices?▾
Quadro RTX 5000 starts from $0.82 per hour average across 2 offers. RTX A6000 begins at $0.25 per hour, averaging $1.09 across 55 offers. Prices vary by provider and region.
Which has lower power consumption?▾
The Quadro RTX 5000 uses 230W TDP, lower than the RTX A6000's 300W. This suits power-constrained setups. Both support PCIe and NVLink.
Do they support multi-GPU?▾
Both GPUs feature NVLink interconnect for scaling performance across cards. PCIe form factor ensures compatibility in cloud instances. RTX A6000's higher specs yield better multi-GPU efficiency.
What architectures do they use?▾
Quadro RTX 5000 employs Turing from 2018 with 11.2 TFLOPS. RTX A6000 uses Ampere from 2020 delivering 38.7 TFLOPS. The upgrade provides tensor core improvements for AI.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX A6000?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX A6000 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 A6000?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find Quadro RTX 5000 and RTX A6000 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 A6000?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 3.5x the FP16 throughput and 1.7x the memory bandwidth of the Quadro RTX 5000.