Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-A6000 |
|---|---|---|
| TDP | 260W | 300W |
| VRAM | 48 GB | 48 GB |
| CUDA Cores | 4,608 | 10,752 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 576 | 336 |
| FP16 Performance | 16.3 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 38.7 TFLOPS |
| Memory Bandwidth | 672 GB/s | 768 GB/s |
Performance Analysis
The RTX A6000 demonstrates a clear performance advantage with 38.7 TFLOPS in both FP16 and FP32, more than doubling the Quadro RTX 8000's 16.3 TFLOPS per precision. This disparity translates to faster model training times, where FP32 computations dominate forward and backward passes, potentially reducing epochs by over 50 percent on equivalent datasets. For inference, the elevated FP16 throughput accelerates batch processing in deployment scenarios.
Memory bandwidth plays a pivotal role: the RTX A6000's 768 GB/s exceeds the Quadro RTX 8000's 672 GB/s by 14 percent, sustaining larger batch sizes in memory-bound tasks like transformer training. Higher bandwidth minimizes data starvation for the 48 GB VRAM, enabling efficient handling of sequences up to 16k tokens without overflow.
Power efficiency reveals nuances. The Quadro RTX 8000's 260 W TDP yields 0.063 TFLOPS per watt in FP32, while the RTX A6000's 300 W provides 0.129 TFLOPS per watt, indicating better performance scaling despite increased consumption.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 8000
The Quadro RTX 8000 suits legacy workflows optimized for Turing architecture, where software stacks from 2018-2020 lack full Ampere compatibility. Its lower 260 W TDP fits power-constrained setups, such as on-premises servers with 80 PLUS Gold PSUs limited to 250 W per slot. Users owning hardware avoid cloud costs, leveraging 48 GB VRAM for stable diffusion or CAD without rental fees.
When to Choose the RTX A6000
The RTX A6000 excels in modern AI pipelines requiring Ampere's enhanced tensor cores, delivering 38.7 TFLOPS FP16 for rapid LLM fine-tuning. Cloud access from $0.25 per hour across 55 offers makes it ideal for bursty workloads, outperforming the Quadro RTX 8000's 16.3 TFLOPS by 2.4 times. Higher 768 GB/s bandwidth supports larger batches in scientific simulations.
Use Cases
The RTX A6000's 38.7 TFLOPS FP32 doubles the Quadro RTX 8000's 16.3 TFLOPS, accelerating convergence on large datasets. Its 768 GB/s bandwidth sustains bigger batches within 48 GB VRAM.
Higher FP16 throughput at 38.7 TFLOPS on RTX A6000 boosts query rates by 2.4 times over 16.3 TFLOPS. NVLink support enables multi-GPU scaling for production serving.
Ampere's tensor cores in RTX A6000 provide 38.7 TFLOPS mixed precision, reducing fine-tuning time versus Turing's 16.3 TFLOPS. Cloud availability from $0.25 per hour suits iterative experiments.
Both GPUs fit 48 GB VRAM for high-resolution generations. RTX A6000 offers faster iteration at 38.7 TFLOPS, but Quadro RTX 8000 suffices for 260 W power limits.
RTX A6000's 768 GB/s bandwidth and 38.7 TFLOPS FP32 handle matrix-heavy simulations better than 672 GB/s and 16.3 TFLOPS. NVLink aids multi-node clusters.
Frequently Asked Questions
What is the VRAM capacity of Quadro RTX 8000 versus RTX A6000?▾
Both GPUs provide 48 GB GDDR6 VRAM, sufficient for large language models. This equality drives comparisons for memory-intensive tasks. Bandwidth differs at 672 GB/s for Quadro RTX 8000 and 768 GB/s for RTX A6000.
How do FP32 performance rates compare?▾
The RTX A6000 achieves 38.7 TFLOPS FP32, more than double the Quadro RTX 8000's 16.3 TFLOPS. This impacts training speed directly. FP16 rates match these figures on both.
What are the TDP ratings?▾
Quadro RTX 8000 consumes 260 W, lower than RTX A6000's 300 W. Lower TDP aids dense deployments. Performance per watt favors RTX A6000 at 0.129 versus 0.063 TFLOPS per watt.
Is cloud pricing available for these GPUs?▾
RTX A6000 offers start from $0.25 per hour, averaging $1.09 per hour across 55 providers. Quadro RTX 8000 has no live offers. This makes RTX A6000 preferable for rentals.
Do both support NVLink?▾
Yes, both Quadro RTX 8000 and RTX A6000 include NVLink interconnects for multi-GPU coherence. This enables scaling beyond single-device 48 GB VRAM. PCIe form factors ensure broad compatibility.
Which architecture is newer?▾
RTX A6000 uses Ampere from 2020, succeeding Quadro RTX 8000's Turing from 2018. Ampere improves tensor performance to 38.7 TFLOPS. Turing suits legacy CUDA 10.x applications.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX A6000?▾
Cloud rental prices for both the Quadro RTX 8000 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 8000 have compared to the RTX A6000?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find Quadro RTX 8000 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 8000 and the RTX A6000?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 2.4x the FP16 throughput and 1.1x the memory bandwidth of the Quadro RTX 8000.