Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-A6000 |
|---|---|---|
| TDP | 260W | 300W |
| VRAM | 24 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 provides 38.7 TFLOPS FP16 and FP32 performance, more than double the Quadro RTX 6000's 16.3 TFLOPS: this delta accelerates machine learning training by reducing iteration times and enhances inference throughput for real-time applications. In training scenarios, the higher FP16 capability handles mixed-precision computations more efficiently, cutting overall job durations.
VRAM capacity defines key limits: the A6000's 48 GB supports larger models or batch sizes without out-of-memory errors, unlike the 24 GB on the Quadro RTX 6000. Memory bandwidth of 768 GB/s on the A6000 versus 672 GB/s enables sustained data flow in bandwidth-intensive tasks, such as processing high-resolution datasets, allowing bigger batches and improved utilization.
Power draw reflects these gains, with the A6000 at 300W TDP compared to 260W: while higher, it correlates with Ampere's architectural efficiencies for modern workloads.
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 6000
The Quadro RTX 6000 fits power-constrained setups with its 260W TDP, lower than the RTX A6000's 300W. It delivers reliable 16.3 TFLOPS FP32 performance for legacy CAD, visualization, or smaller-scale simulations optimized for Turing architecture, where full Ampere upgrades offer marginal benefits.
When to Choose the RTX A6000
Choose the RTX A6000 for demanding AI tasks needing 48 GB VRAM to load large models without fragmentation. Its 38.7 TFLOPS FP16 performance excels in training and inference, and cloud pricing from $0.25 per hour across 55 offers provides scalable access versus the Quadro RTX 6000's unavailability.
Use Cases
The RTX A6000's 48 GB VRAM accommodates massive language models, and 38.7 TFLOPS FP16 outperforms the Quadro RTX 6000's 24 GB and 16.3 TFLOPS for efficient large-batch training.
RTX A6000 handles high-concurrency inference with 38.7 TFLOPS FP16 and 768 GB/s bandwidth, scaling better than Quadro RTX 6000's 16.3 TFLOPS and 672 GB/s for production deployments.
48 GB VRAM on RTX A6000 supports fine-tuning larger models without swapping, paired with 38.7 TFLOPS FP32 for quicker iterations over Quadro RTX 6000's 24 GB limit.
RTX A6000's doubled 48 GB VRAM enables high-resolution image generation at larger batch sizes, with 38.7 TFLOPS FP16 accelerating diffusion steps beyond Quadro RTX 6000 capabilities.
Ampere's 38.7 TFLOPS FP32 and 768 GB/s bandwidth on RTX A6000 speed simulations with large datasets, surpassing Turing's 16.3 TFLOPS and 672 GB/s on Quadro RTX 6000.
Frequently Asked Questions
What is the VRAM difference between Quadro RTX 6000 and RTX A6000?▾
The RTX A6000 has 48 GB GDDR6 VRAM, double the Quadro RTX 6000's 24 GB GDDR6. This allows the A6000 to handle larger models in AI tasks. Both use GDDR6 memory type.
How do FP32 performance specs compare?▾
RTX A6000 delivers 38.7 TFLOPS FP32, more than double the Quadro RTX 6000's 16.3 TFLOPS. This impacts training and compute workloads directly. FP16 matches this ratio on both.
What are the memory bandwidth figures?▾
RTX A6000 offers 768 GB/s bandwidth versus Quadro RTX 6000's 672 GB/s. Higher bandwidth on A6000 supports larger batches in memory-bound applications. The difference aids data-intensive tasks.
Do both GPUs support NVLink?▾
Yes, both Quadro RTX 6000 and RTX A6000 feature NVLink interconnect for multi-GPU scaling. This enables efficient communication in clusters. PCIe form factor is common to both.
What is the TDP comparison?▾
Quadro RTX 6000 has 260W TDP, lower than RTX A6000's 300W. Lower TDP suits power-limited environments for the Quadro. A6000's higher draw supports its enhanced performance.
Is RTX A6000 available on cloud with pricing?▾
RTX A6000 has live cloud offers from $0.25 per hour, averaging $1.09 per hour across 55 providers. Quadro RTX 6000 has no current live offers. This makes A6000 more accessible for rentals.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX A6000?▾
Cloud rental prices for both the Quadro RTX 6000 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 6000 have compared to the RTX A6000?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find Quadro RTX 6000 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 6000 and the RTX A6000?▾
The Quadro RTX 6000 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 6000.