Specifications Compared
| Spec | A100 | QUADRO-P4000 |
|---|---|---|
| TDP | 400W | 105W |
| VRAM | 40-80 GB | 8 GB |
| CUDA Cores | 6,912 | 1,792 |
| Memory Type | HBM2e | GDDR5 |
| Architecture | Ampere | Pascal |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 5.3 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 5.3 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 243 GB/s |
Performance Analysis
Compute capabilities define their suitability for AI tasks: the A100 achieves 312 TFLOPS in FP16, enabling rapid model training where half-precision computations dominate, while the P4000 manages only 5.3 TFLOPS, suitable for lighter inference. In FP32, the A100 reaches 19.5 TFLOPS versus the P4000's 5.3 TFLOPS, impacting simulations and precise inference workloads that require single-precision arithmetic.
Memory bandwidth profoundly affects real-world usage: the A100's 2039 GB/s supports large batch sizes in training, minimizing data loading bottlenecks and accelerating convergence on datasets exceeding 8 GB, the P4000's limit. The P4000's 243 GB/s restricts it to small batches, increasing overhead in memory-intensive scenarios like Stable Diffusion generation.
Power consumption differs significantly: 400W TDP for the A100 demands robust cooling in data centers, whereas the P4000's 105W fits standard workstations with minimal infrastructure.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 80GB
| 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 557GB Storage | Czechia | $1.00/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 P4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.51/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.51/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.51/GPU/hr | Available |
When to Choose the A100 PCIe 80GB
The A100 PCIe 80GB excels in large-scale AI training and inference, such as LLMs requiring over 40 GB VRAM, where its 80 GB HBM2e and 312 TFLOPS FP16 outperform alternatives. It suits multi-GPU setups via NVLink and PCIe 4.0, handling 2039 GB/s bandwidth for massive datasets.
High-throughput scientific computing benefits from 19.5 TFLOPS FP32 and InfiniBand support, making it ideal for cloud deployments at $0.89 per hour starting price.
When to Choose the Quadro P4000
The Quadro P4000 fits budget-conscious CAD and light visualization tasks, leveraging its 8 GB GDDR5 for models under that threshold at $0.51 per hour. Its 105W TDP enables easy integration into standard PCIe workstations without high power demands.
Legacy software optimized for Pascal architecture prefers the P4000, avoiding migration costs while delivering 5.3 TFLOPS FP32 for moderate rendering.
Use Cases
The A100's 80 GB HBM2e VRAM and 312 TFLOPS FP16 support training large models with big batches, unlike the P4000's 8 GB limit.
Inference on LLMs demands high memory and bandwidth: A100's 2039 GB/s and 19.5 TFLOPS FP32 enable high throughput, far beyond P4000's 243 GB/s.
Fine-tuning benefits from A100's superior FP16 at 312 TFLOPS and ample VRAM for parameter-efficient methods on datasets over 8 GB.
Stable Diffusion requires substantial VRAM for high-resolution generations: A100's 80 GB handles complex prompts, while P4000's 8 GB restricts output quality.
Scientific simulations leverage A100's 19.5 TFLOPS FP32 and NVLink for multi-node scaling, outperforming P4000's 5.3 TFLOPS.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 80GB and Quadro P4000?▾
The A100 PCIe 80GB provides 80 GB of HBM2e VRAM, compared to the Quadro P4000's 8 GB GDDR5. This tenfold increase allows the A100 to manage much larger models and datasets. Memory bandwidth follows suit at 2039 GB/s versus 243 GB/s.
How do their FP16 performances compare?▾
The A100 delivers 312 TFLOPS in FP16, vastly superior to the P4000's 5.3 TFLOPS. This gap accelerates deep learning training on the A100. Inference tasks also benefit from the higher throughput.
What are the current cloud pricing ranges?▾
A100 PCIe 80GB starts at $0.89 per hour, averaging $2.08 per hour across 28 offers. Quadro P4000 is available from $0.51 per hour across 6 offers. Pricing reflects their performance disparity.
Which has higher power consumption?▾
The A100 requires 400W TDP, demanding data center cooling. The P4000 uses only 105W, suitable for workstations. This affects deployment choices.
Can the P4000 handle AI workloads like the A100?▾
The P4000's 5.3 TFLOPS FP32 and 8 GB VRAM limit it to small-scale AI, unlike the A100's 19.5 TFLOPS and 80 GB. Modern LLMs exceed P4000 capabilities. It suits legacy or light tasks.
What architectures do they use?▾
The A100 employs Ampere from 2020 with advanced features like NVLink. The P4000 uses Pascal from 2017. This generational difference drives all spec advantages for A100.
Which is cheaper to rent, the A100 or the Quadro P4000?▾
Cloud rental prices for both the A100 and Quadro P4000 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 P4000?▾
The A100 has 40 to 80 GB of HBM2e memory. The Quadro P4000 has 8 GB of GDDR5 memory.
Can I find A100 and Quadro P4000 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 P4000?▾
The A100 uses the Ampere architecture (2020) while the Quadro P4000 uses Pascal (2017). The A100 delivers 58.9x the FP16 throughput and 8.4x the memory bandwidth of the Quadro P4000.