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
The A100 PCIe 40GB vastly outpaces the Quadro P4000 in compute performance: its 312 TFLOPS FP16 enables rapid AI model training and inference in half-precision, where P4000 manages only 5.3 TFLOPS. FP32 performance at 19.5 TFLOPS on A100 supports precise scientific simulations, tripling the P4000's 5.3 TFLOPS and accelerating general-purpose workloads.
Memory specs transform real-world usage: A100's 40 GB HBM2e VRAM and 2039 GB/s bandwidth handle massive datasets and large batch sizes in deep learning, preventing out-of-memory errors common on P4000's 8 GB GDDR5 with 243 GB/s. This bandwidth edge, over eight times higher, speeds data transfers during training epochs and enables scaling to models like large language models.
Power efficiency reflects eras: A100's 400W TDP suits datacenters with cooling infrastructure, delivering high throughput, while P4000's 105W fits edge or low-power setups but limits sustained heavy loads.
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 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 40GB
The A100 PCIe 40GB excels in demanding AI and HPC scenarios requiring over 8 GB VRAM, such as training large neural networks with 312 TFLOPS FP16 performance. Its 2039 GB/s bandwidth supports large batch sizes and complex models infeasible on P4000. Cloud users processing 40 GB datasets choose A100 for speed despite $1.85/hr average cost.
When to Choose the Quadro P4000
The Quadro P4000 suits budget-conscious visualization or legacy CAD workflows, offering 8 GB GDDR5 at $0.51/hr average. Its 105W TDP enables deployment in power-sensitive environments without advanced cooling. Users with small datasets under 5.3 TFLOPS FP32 needs select P4000 to minimize costs.
Use Cases
A100's 40 GB HBM2e VRAM and 312 TFLOPS FP16 handle massive language models with large batch sizes. P4000's 8 GB limits it to tiny models.
High FP16 throughput at 312 TFLOPS on A100 accelerates real-time inference for large models. P4000's 5.3 TFLOPS cannot sustain production demands.
A100 supports fine-tuning on datasets fitting 40 GB VRAM with 2039 GB/s bandwidth for efficiency. P4000's constraints cause frequent swapping.
Image generation requires substantial VRAM and FP16 compute: A100's 40 GB and 312 TFLOPS enable high-resolution outputs. P4000 struggles with 8 GB.
A100's 19.5 TFLOPS FP32 and high bandwidth speed simulations on large grids. P4000's lower specs suit only small-scale computations.
Frequently Asked Questions
What is the VRAM capacity of each GPU?▾
The A100 PCIe 40GB has 40 GB HBM2e VRAM. The Quadro P4000 provides 8 GB GDDR5. This difference allows A100 to load much larger models without issues.
Which GPU offers higher memory bandwidth?▾
A100 achieves 2039 GB/s bandwidth. Quadro P4000 reaches 243 GB/s. A100's superior rate supports faster data processing in AI workloads.
How do FP16 performances compare?▾
A100 delivers 312 TFLOPS in FP16. Quadro P4000 offers 5.3 TFLOPS. This gap makes A100 ideal for half-precision deep learning tasks.
What are the current cloud pricing averages?▾
A100 PCIe 40GB averages $1.85/hr across 11 offers, starting at $0.60/hr. Quadro P4000 averages $0.51/hr over 6 offers. Pricing reflects performance tiers.
Which has lower power consumption?▾
Quadro P4000 uses 105W TDP. A100 requires 400W. P4000 fits low-power setups, while A100 demands datacenter infrastructure.
What architectures power these GPUs?▾
A100 uses Ampere from 2020. Quadro P4000 employs Pascal from 2017. Ampere brings advancements in tensor cores and efficiency.
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.