Specifications Compared
| Spec | QUADRO-RTX-4000 | RTX-A2000 |
|---|---|---|
| TDP | 160W | 70W |
| VRAM | 8 GB | 6-12 GB |
| CUDA Cores | 2,304 | 3,328 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 104 |
| FP16 Performance | 7.1 TFLOPS | 8 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 8 TFLOPS |
| Memory Bandwidth | 416 GB/s | 288 GB/s |
Performance Analysis
Memory bandwidth marks the primary spec gap: the Quadro RTX 4000's 416 GB/s outpaces the RTX A2000's 288 GB/s, allowing larger batch sizes in training and reducing data transfer bottlenecks for memory-intensive models. This advantage suits deep learning tasks where datasets exceed 8 GB VRAM limits on the 4000. The A2000's variable 6 to 12 GB VRAM offers flexibility, potentially handling bigger models in 12 GB configurations. FP16 and FP32 performance tilts slightly to the A2000 at 8 TFLOPS versus 7.1 TFLOPS on the 4000: higher throughput accelerates inference passes and mixed-precision training common in modern AI pipelines. Ampere's architecture enhances tensor core efficiency over Turing, yielding real-world gains in optimized frameworks like TensorRT. Power draw differs significantly, with the A2000's 70W TDP enabling denser cloud deployments compared to 160W: this lowers operational costs in scaled environments. Overall, bandwidth favors bandwidth-bound workloads on the 4000, while compute and efficiency benefit the A2000.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
RTX A2000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX A2000 12GB VRAM | 12GB | 6 vCPU 20GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 suits memory bandwidth-critical tasks such as large-scale simulations and rendering pipelines. Its 416 GB/s bandwidth supports batch sizes that the RTX A2000's 288 GB/s cannot match without performance drops, making it ideal for CAD software or scientific visualizations demanding 8 GB VRAM consistency.
When to Choose the RTX A2000
The RTX A2000 fits budget-conscious deployments in AI inference and light training. With pricing from $0.06 per hour and 70W TDP, it delivers 8 TFLOPS at lower costs than the $0.56 per hour Quadro RTX 4000, excelling in edge computing or multi-GPU setups where power efficiency matters.
Use Cases
The Quadro RTX 4000's 416 GB/s bandwidth handles larger batch sizes better than the RTX A2000's 288 GB/s during memory-intensive LLM training phases.
The RTX A2000's 8 TFLOPS FP16 performance and 70W TDP enable efficient, low-cost inference at $0.06 per hour starting price.
Both offer comparable FP32 at 7.1 to 8 TFLOPS; choose RTX A2000 for cost savings or Quadro RTX 4000 for higher 416 GB/s bandwidth in larger models.
Ampere architecture on RTX A2000 with up to 12 GB VRAM accelerates diffusion models better than Turing's 8 GB on Quadro RTX 4000.
Quadro RTX 4000's 416 GB/s bandwidth excels in data-heavy simulations compared to RTX A2000's 288 GB/s.
Frequently Asked Questions
What is the memory bandwidth difference between Quadro RTX 4000 and RTX A2000?▾
The Quadro RTX 4000 provides 416 GB/s bandwidth, surpassing the RTX A2000's 288 GB/s. This gap impacts batch sizes in machine learning tasks. Higher bandwidth on the 4000 reduces bottlenecks in memory-bound workloads.
How do FP32 performances compare?▾
RTX A2000 delivers 8 TFLOPS FP32, slightly ahead of Quadro RTX 4000's 7.1 TFLOPS. This edge benefits general compute tasks. Both suit training but A2000 offers minor efficiency gains.
What are the cloud pricing differences?▾
Quadro RTX 4000 starts at $0.56 per hour across five offers, averaging the same. RTX A2000 begins at $0.06 per hour, averaging $0.23 across three. A2000 provides far better value for rentals.
Which has lower power consumption?▾
RTX A2000 uses 70W TDP versus Quadro RTX 4000's 160W. Lower power suits dense or edge deployments. This halves energy costs in cloud scaling.
What architectures do they use?▾
Quadro RTX 4000 employs Turing from 2018 with 8 GB VRAM. RTX A2000 uses Ampere from 2021 with 6 to 12 GB VRAM. Newer Ampere improves tensor operations.
Is RTX A2000 VRAM configurable?▾
RTX A2000 offers 6 to 12 GB GDDR6 options, providing flexibility over Quadro RTX 4000's fixed 8 GB. Higher variants handle larger models. Selection depends on workload size.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX A2000?▾
Cloud rental prices for both the Quadro RTX 4000 and RTX A2000 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 4000 have compared to the RTX A2000?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find Quadro RTX 4000 and RTX A2000 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 4000 and the RTX A2000?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX A2000 uses Ampere (2021). The RTX A2000 delivers 1.1x the FP16 throughput and 1.4x the memory bandwidth of the Quadro RTX 4000.