Specifications Compared
| Spec | A100 | QUADRO-P5000 |
|---|---|---|
| TDP | 400W | 180W |
| VRAM | 40-80 GB | 16 GB |
| CUDA Cores | 6,912 | 2,560 |
| 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 | 8.9 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 8.9 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 288 GB/s |
Performance Analysis
Compute throughput reveals stark differences suited to distinct workloads. The A100's 312 TFLOPS FP16 capability enables rapid training and inference for deep learning models using half-precision arithmetic, approximately 35 times the P5000's 8.9 TFLOPS. For FP32 tasks common in scientific simulations, the A100's 19.5 TFLOPS more than doubles the P5000's 8.9 TFLOPS, accelerating general-purpose computing.
Memory bandwidth profoundly impacts real-world usage. The A100's 2039 GB/s supports larger batch sizes in training, reducing overhead and fitting models with billions of parameters into 40 GB VRAM. The P5000's 288 GB/s and 16 GB VRAM limit it to smaller batches, causing bottlenecks in memory-intensive operations like large language model inference.
Power consumption reflects design priorities: the A100's 400W TDP sustains high performance in data centers with NVLink and PCIe 4.0 interconnects, while the P5000's 180W TDP fits PCIe workstations with lower cooling needs. These specs translate to the A100 dominating AI pipelines, with the P5000 viable for outdated or low-demand scenarios.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 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 P5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
![]() Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
![]() Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
![]() Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr | Available | ||
![]() Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.78/GPU/hr | Available |
When to Choose the A100 PCIe 40GB
The A100 PCIe 40GB excels in machine learning training where 312 TFLOPS FP16 and 40 GB HBM2e VRAM handle large models efficiently. Its 2039 GB/s bandwidth supports high batch sizes, ideal for deep neural networks or LLM fine-tuning in cloud environments. Data center users benefit from NVLink interconnects for multi-GPU scaling at $0.60 per hour starting price.
Inference workloads with high throughput demands favor the A100, as its FP16 performance outpaces the P5000 by over 35 times, enabling real-time applications without latency issues.
When to Choose the Quadro P5000
The Quadro P5000 suits legacy workstation applications like CAD rendering or visualization, where 16 GB GDDR5X and 8.9 TFLOPS FP32 suffice without excessive power draw. Its 180W TDP and $0.78 per hour pricing appeal to budget-conscious users avoiding data center overhead.
Light professional tasks with small datasets benefit from the P5000's PCIe form factor, as its 288 GB/s bandwidth handles moderate loads without the A100's complexity.
Use Cases
The A100's 312 TFLOPS FP16 and 40 GB VRAM enable training of large language models with massive datasets. The P5000's 8.9 TFLOPS and 16 GB limit scalability.
High FP16 throughput of 312 TFLOPS on the A100 supports low-latency inference for billion-parameter models. The P5000 struggles with its 8.9 TFLOPS and lower bandwidth.
A100's 2039 GB/s bandwidth and 40 GB VRAM accommodate large batch sizes during fine-tuning. P5000's 288 GB/s causes inefficiencies.
The A100 generates images rapidly with 312 TFLOPS FP16 for diffusion models. P5000's 16 GB VRAM restricts resolution and speed.
A100's 19.5 TFLOPS FP32 excels in simulations requiring high precision. P5000's matching 8.9 TFLOPS falls short for complex computations.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 40GB and Quadro P5000?▾
The A100 PCIe 40GB has 40 GB HBM2e VRAM, while the Quadro P5000 provides 16 GB GDDR5X. This allows the A100 to manage larger models. The P5000 suits smaller datasets.
Which GPU has higher FP16 performance?▾
The A100 achieves 312 TFLOPS FP16, over 35 times the P5000's 8.9 TFLOPS. This boosts AI training speed. The P5000 lags in half-precision tasks.
How do memory bandwidths compare?▾
A100 offers 2039 GB/s, compared to P5000's 288 GB/s. Higher bandwidth on A100 supports bigger batches. P5000 faces bottlenecks in data-heavy workloads.
What are the cloud pricing details?▾
A100 PCIe 40GB starts at $0.60 per hour, averaging $1.85 across 11 offers. P5000 averages $0.78 per hour across 6 offers. Costs reflect performance disparity.
Which has higher power consumption?▾
The A100's TDP is 400W, versus P5000's 180W. A100 requires robust cooling for sustained loads. P5000 fits low-power setups.
What architectures do they use?▾
A100 uses Ampere from 2020 with NVLink support. P5000 employs Pascal from 2016. Ampere advances enable modern AI features.
Which is cheaper to rent, the A100 or the Quadro P5000?▾
Cloud rental prices for both the A100 and Quadro P5000 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 P5000?▾
The A100 has 40 to 80 GB of HBM2e memory. The Quadro P5000 has 16 GB of GDDR5X memory.
Can I find A100 and Quadro P5000 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 P5000?▾
The A100 uses the Ampere architecture (2020) while the Quadro P5000 uses Pascal (2016). The A100 delivers 35.1x the FP16 throughput and 7.1x the memory bandwidth of the Quadro P5000.



