Specifications Compared
| Spec | A16 | QUADRO-P6000 |
|---|---|---|
| TDP | 250W | 250W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 2,560 | 3,840 |
| Memory Type | GDDR6 | GDDR5X |
| Architecture | Ampere | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 80 | |
| FP16 Performance | 4.5 TFLOPS | 12.6 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 12.6 TFLOPS |
| Memory Bandwidth | 231 GB/s | 432 GB/s |
Performance Analysis
Compute performance favors the Quadro P6000 decisively: it achieves 12.6 TFLOPS in both FP16 and FP32, surpassing A16's 4.5 TFLOPS in each. This gap implies Quadro P6000 accelerates FP32-based training and inference by approximately 2.8 times, benefiting scientific simulations or legacy ML models reliant on single-precision arithmetic.
Memory bandwidth impacts data throughput directly: Quadro P6000's 432 GB/s supports larger batch sizes in memory-bound tasks compared to A16's 231 GB/s. For instance, training with high-resolution datasets or large models fits better on Quadro P6000's 24 GB VRAM, reducing swapping and improving iteration speed.
A16's Ampere architecture introduces tensor core optimizations absent in Pascal, potentially enhancing mixed-precision inference despite lower headline TFLOPS. However, for pure FP16/FP32 workloads, Quadro P6000 maintains an edge in raw throughput, though at higher cost per hour.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A16
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Singapore | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Atlanta | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Bangalore | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 2×NVIDIA A16 64GB VRAM | 64GB | 12 vCPU 128GB RAM 700GB Storage | Bangalore | $0.47/GPU/hr $0.94/hr total (2×) | Available | ||
Vultr | 4×NVIDIA A16 64GB VRAM | 64GB | 24 vCPU 256GB RAM 1200GB Storage | Atlanta | $0.47/GPU/hr $1.88/hr total (4×) | Available |
Quadro P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | Available |
When to Choose the A16
Select A16 for cost-sensitive virtual desktop infrastructure or light inference tasks. Its $0.47 per hour starting price and 74 live offers ensure high availability and scalability. Newer Ampere architecture supports modern CUDA versions better than Pascal.
A16 suits multi-user graphics rendering where 16 GB VRAM and 231 GB/s bandwidth suffice for 4K streaming across instances.
When to Choose the Quadro P6000
Choose Quadro P6000 when maximum VRAM and bandwidth are critical. Its 24 GB GDDR5X and 432 GB/s enable handling larger datasets or models without fragmentation. The 12.6 TFLOPS FP32 performance excels in compute-intensive rendering or simulations.
Legacy professional visualization software optimized for Pascal benefits from Quadro P6000's higher specs despite fewer cloud offers.
Use Cases
Quadro P6000's 24 GB VRAM and 12.6 TFLOPS FP32 handle larger models and batches better than A16's 16 GB and 4.5 TFLOPS. Higher 432 GB/s bandwidth reduces bottlenecks in data loading.
A16's lower $0.47 per hour cost and Ampere efficiency suit high-volume inference at scale. 16 GB VRAM suffices for most deployed models with 231 GB/s bandwidth.
Quadro P6000's 12.6 TFLOPS and 24 GB VRAM accelerate fine-tuning of mid-sized LLMs. Superior bandwidth supports efficient gradient updates.
Quadro P6000's 24 GB VRAM fits high-resolution image generation without out-of-memory errors. 432 GB/s bandwidth speeds up diffusion steps over A16.
A16 offers cost savings at $0.48 average per hour for lighter simulations; Quadro P6000's 12.6 TFLOPS excels in FP32-heavy HPC tasks requiring 24 GB VRAM.
Frequently Asked Questions
Which GPU has more VRAM?▾
Quadro P6000 provides 24 GB GDDR5X, exceeding A16's 16 GB GDDR6. This advantage aids memory-intensive applications like large model loading.
How do their prices compare in the cloud?▾
A16 starts at $0.47 per hour with an average of $0.48 across 74 offers. Quadro P6000 is $1.10 per hour average across 6 offers, making A16 more affordable.
What is the FP32 performance difference?▾
Quadro P6000 delivers 12.6 TFLOPS FP32, while A16 offers 4.5 TFLOPS. Quadro P6000 provides about 2.8 times the single-precision compute.
Which has higher memory bandwidth?▾
Quadro P6000 achieves 432 GB/s, surpassing A16's 231 GB/s. Higher bandwidth on Quadro P6000 improves data transfer for batch processing.
Are both GPUs suitable for machine learning?▾
Both support ML, but Quadro P6000's higher TFLOPS and VRAM favor training. A16's lower cost and newer architecture suit inference better.
What are their TDPs?▾
Both A16 and Quadro P6000 have a 250W TDP. Power draw is identical, aiding consistent cloud instance planning.
Which is cheaper to rent, the A16 or the Quadro P6000?▾
Cloud rental prices for both the A16 and Quadro P6000 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 A16 have compared to the Quadro P6000?▾
The A16 has 16 GB of GDDR6 memory. The Quadro P6000 has 24 GB of GDDR5X memory.
Can I find A16 and Quadro P6000 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 A16 and the Quadro P6000?▾
The A16 uses the Ampere architecture (2021) while the Quadro P6000 uses Pascal (2016). The Quadro P6000 delivers 2.8x the FP16 throughput and 1.9x the memory bandwidth of the A16.