Specifications Compared
| Spec | A100 | QUADRO-P6000 |
|---|---|---|
| TDP | 400W | 250W |
| VRAM | 40-80 GB | 24 GB |
| CUDA Cores | 6,912 | 3,840 |
| Memory Type | HBM2e | GDDR5X |
| Architecture | Ampere | Pascal |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 12.6 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 12.6 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 432 GB/s |
Performance Analysis
The FP16 performance disparity defines training advantages: A100 achieves 312 TFLOPS, over 24 times the P6000's 12.6 TFLOPS, speeding mixed-precision deep learning by similar factors. Inference benefits likewise, as higher FP16 throughput processes more samples per second on A100. FP32 remains closer at 19.5 TFLOPS for A100 versus 12.6 TFLOPS for P6000, but A100 still leads for single-precision tasks like simulations.
Memory bandwidth impacts batch sizes directly: A100's 2039 GB/s versus P6000's 432 GB/s supports larger batches without bottlenecks, reducing training iterations and memory swaps. A100's 40 GB HBM2e VRAM handles models exceeding 24 GB GDDR5X on P6000, preventing out-of-memory errors in modern workloads. These specs translate to A100 completing epochs in minutes where P6000 requires hours.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 40GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
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 A100 SXM4 40GB
AI training and inference workloads favor the A100 SXM4 40GB: its 312 TFLOPS FP16 and 40 GB VRAM manage large language models that exceed P6000 limits. High 2039 GB/s bandwidth enables efficient scaling across NVLink-connected instances. Cloud users prioritizing throughput over cost select A100 for production deployments.
When to Choose the Quadro P6000
Legacy visualization and CAD applications suit the Quadro P6000: its 12.6 TFLOPS FP32 matches many professional needs at lower 250 W TDP than A100's 400 W. Consistent $1.10 per hour pricing across six offers appeals for budget constraints. PCIe form factor simplifies integration in non-datacenter environments.
Use Cases
A100's 312 TFLOPS FP16 and 40 GB HBM2e VRAM support massive models and large batches. P6000's 12.6 TFLOPS and 24 GB limit scalability.
High 2039 GB/s bandwidth on A100 enables high-throughput serving. P6000's 432 GB/s bandwidth constrains real-time performance.
A100's 19.5 TFLOPS FP32 and ample VRAM accelerate iterations. P6000 struggles with memory for mid-sized models.
A100's FP16 dominance at 312 TFLOPS generates images faster. P6000's lower specs slow diffusion steps significantly.
A100's 19.5 TFLOPS FP32 outperforms P6000's 12.6 TFLOPS for simulations. Higher bandwidth aids complex datasets.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 40GB and Quadro P6000?▾
A100 provides 40 GB HBM2e VRAM, while P6000 has 24 GB GDDR5X. This allows A100 to load larger models without swapping. Bandwidth follows at 2039 GB/s for A100 versus 432 GB/s for P6000.
Which GPU has better FP16 performance?▾
A100 delivers 312 TFLOPS FP16, exceeding P6000's 12.6 TFLOPS by over 24 times. This boosts deep learning training speed. FP32 sees A100 at 19.5 TFLOPS over P6000's 12.6 TFLOPS.
How do cloud prices compare?▾
A100 SXM4 40GB starts at $1.00 per hour, averaging $2.63 across five offers. P6000 averages $1.10 per hour across six offers. Pricing favors P6000 for light use.
What are the TDP ratings?▾
A100 requires 400 W TDP, higher than P6000's 250 W. This affects power costs in dense deployments. A100's SXM4 form suits datacenters.
Does A100 support NVLink?▾
A100 includes NVLink interconnect alongside PCIe 4.0. P6000 lacks advanced interconnects beyond PCIe. NVLink enables multi-GPU scaling.
Which is newer architecture?▾
A100 uses Ampere from 2020, versus P6000's Pascal from 2016. Ampere advances yield higher TFLOPS across precisions. This generational leap defines modern use.
Which is cheaper to rent, the A100 or the Quadro P6000?▾
Cloud rental prices for both the A100 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 A100 have compared to the Quadro P6000?▾
The A100 has 40 to 80 GB of HBM2e memory. The Quadro P6000 has 24 GB of GDDR5X memory.
Can I find A100 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 A100 and the Quadro P6000?▾
The A100 uses the Ampere architecture (2020) while the Quadro P6000 uses Pascal (2016). The A100 delivers 24.8x the FP16 throughput and 4.7x the memory bandwidth of the Quadro P6000.