Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-A4000 |
|---|---|---|
| TDP | 260W | 140W |
| VRAM | 48 GB | 16 GB |
| CUDA Cores | 4,608 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 192 |
| FP16 Performance | 16.3 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 672 GB/s | 448 GB/s |
Performance Analysis
The RTX A4500 holds a clear compute edge over the Quadro RTX 8000: 23.7 TFLOPS in FP16 and FP32 precision compared to 16.3 TFLOPS. This 45 percent uplift accelerates machine learning training and inference, enabling shorter epochs or higher throughput in real-world deployments.
VRAM capacity sets them apart most: 48 GB on the Quadro RTX 8000 permits larger batch sizes for training massive models like LLMs, minimizing data loading stalls. The RTX A4500's 20 GB constrains it to modest batches, though its 640 GB/s bandwidth trails the 672 GB/s only slightly and suffices for many inference pipelines.
Ampere's advancements yield better efficiency at 200 W TDP versus 260 W, supporting denser server racks. NVLink on both aids scaling, but Turing's higher memory suits memory-bound tasks over Ampere's raw speed.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX A4500
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 stands out for memory-intensive applications. Its 48 GB GDDR6 VRAM handles vast datasets in simulations or unoptimized large-model training without host offloading. NVLink interconnect and 672 GB/s bandwidth optimize multi-GPU configurations for distributed workloads exceeding 20 GB per card.
When to Choose the RTX A4500
The RTX A4500 fits high-performance, budget-aware setups. Delivering 23.7 TFLOPS FP16 and FP32 at 200 W TDP, it outperforms the Quadro RTX 8000 by 45 percent while cutting power costs. Cloud pricing from $0.10 per hour makes it ideal for scalable inference and modern Ampere-native software.
Use Cases
The 48 GB VRAM on the Quadro RTX 8000 supports larger models and batch sizes critical for efficient LLM training. Its 672 GB/s bandwidth handles data movement effectively in memory-bound phases.
RTX A4500's 23.7 TFLOPS FP16 performance delivers 45 percent faster inference than the 16.3 TFLOPS of Quadro RTX 8000. Lower 200 W TDP enables cost-effective scaling.
Ampere architecture and 23.7 TFLOPS compute speed up fine-tuning iterations over Turing's 16.3 TFLOPS. Availability at $0.10 per hour reduces experimentation costs.
The RTX A4500's higher 23.7 TFLOPS FP32 rate generates images faster than the Quadro RTX 8000's 16.3 TFLOPS. Its newer architecture optimizes diffusion model accelerations.
48 GB VRAM capacity excels in large-scale simulations requiring extensive datasets. NVLink support scales memory across multiple Quadro RTX 8000 cards.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM, doubling the RTX A4500's 20 GB. This benefits memory-heavy tasks like large model training. Bandwidth stands at 672 GB/s for the 8000 versus 640 GB/s.
Is the RTX A4500 faster than the Quadro RTX 8000?▾
Yes, the RTX A4500 achieves 23.7 TFLOPS in FP16 and FP32, a 45 percent gain over the 16.3 TFLOPS of the Quadro RTX 8000. This speeds ML training and inference workloads. Ampere architecture contributes additional optimizations.
What are the TDP ratings?▾
Quadro RTX 8000 has a 260 W TDP, while RTX A4500 operates at 200 W. The lower TDP of A4500 improves power efficiency for data center use. Both fit PCIe slots.
Do both GPUs support NVLink?▾
Both the Quadro RTX 8000 and RTX A4500 include NVLink for high-speed multi-GPU links. This enables efficient scaling in professional setups. PCIe form factors complement the interconnect.
What is the cloud pricing for these GPUs?▾
RTX A4500 offers start from $0.10 per hour, averaging $0.19 per hour across four providers. Quadro RTX 8000 currently has no live cloud offers. Pricing favors the A4500 for rentals.
Which has the newer architecture?▾
RTX A4500 uses Ampere from 2021, succeeding Turing in the Quadro RTX 8000 from 2018. Ampere brings compute boosts to 23.7 TFLOPS from 16.3 TFLOPS. It supports advanced ML features.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX A4000?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX A4000 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 8000 have compared to the RTX A4000?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find Quadro RTX 8000 and RTX A4000 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 8000 and the RTX A4000?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX A4000 uses Ampere (2021). The RTX A4000 delivers 1.2x the FP16 throughput and 1.5x the memory bandwidth of the Quadro RTX 8000.