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's 312 TFLOPS FP16 performance vastly outpaces the Quadro P4000's 5.3 TFLOPS, accelerating deep learning training where half-precision computations dominate. Its FP32 capability of 19.5 TFLOPS suits scientific simulations requiring single-precision accuracy, exceeding the P4000's matched 5.3 TFLOPS. This disparity means training large neural networks completes orders of magnitude faster on A100, often in minutes versus hours on P4000.
Memory bandwidth defines practical limits: A100's 2039 GB/s supports massive batch sizes in model training, minimizing per-iteration overhead and enabling stable convergence on huge datasets. The P4000's 243 GB/s restricts batches to small sizes, increasing training time and instability for memory-intensive tasks. VRAM follows suit: 80 GB HBM2e on A100 handles enormous models without swapping, while 8 GB GDDR5 on P4000 forces model partitioning or downsizing, crippling inference for modern LLMs.
Power draw underscores efficiency gaps. A100's 400W TDP fuels sustained high throughput in clusters, whereas P4000's 105W suits low-heat desktops but throttles under prolonged loads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 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 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 SXM4 80GB
Choose the A100 SXM4 80GB for AI workloads demanding extreme scale, such as training LLMs with billions of parameters. Its 80 GB HBM2e VRAM and 312 TFLOPS FP16 enable handling models that exceed 8 GB GDDR5 limits of the P4000. Cloud deployments benefit from NVLink and InfiniBand for multi-GPU scaling at $0.67 per hour starting price.
High-performance computing tasks like molecular dynamics favor A100's 2039 GB/s bandwidth and 19.5 TFLOPS FP32, where P4000's 243 GB/s and 5.3 TFLOPS falter on large datasets.
When to Choose the Quadro P4000
The Quadro P4000 fits budget visualization or light CAD in cloud workstations, leveraging its $0.51 per hour average pricing across 6 offers. Its 105W TDP minimizes cooling needs compared to A100's 400W, ideal for single-user remote desktops.
Legacy professional software optimized for Pascal architecture runs efficiently on P4000's 8 GB GDDR5 and 5.3 TFLOPS FP32, avoiding overkill from A100's datacenter features.
Use Cases
A100's 312 TFLOPS FP16 and 80 GB HBM2e VRAM handle massive parameter counts and large batches, unlike P4000's 5.3 TFLOPS and 8 GB limits.
A100's 2039 GB/s bandwidth supports high-throughput serving of large models; P4000's 243 GB/s and low VRAM cause severe bottlenecks.
Fine-tuning benefits from A100's 19.5 TFLOPS FP32 and ample memory for adapter methods; P4000 cannot accommodate mid-sized models.
A100 accelerates diffusion models with 312 TFLOPS FP16 for rapid generation; P4000's 5.3 TFLOPS yields impractically slow outputs.
A100's 2039 GB/s bandwidth and NVLink excel in parallel simulations; P4000's PCIe-only setup lacks scalability.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 80GB and Quadro P4000?▾
The A100 offers 80 GB HBM2e VRAM, enabling large model loading. The P4000 provides 8 GB GDDR5, suitable only for smaller datasets. This gap affects tasks like LLM handling.
How do cloud prices compare for these GPUs?▾
A100 SXM4 80GB starts at $0.67 per hour, averaging $1.42 per hour across 23 offers. Quadro P4000 averages $0.51 per hour across 6 offers. Prices reflect performance tiers on gpuperhour.com.
Which has higher FP16 performance?▾
A100 delivers 312 TFLOPS FP16, ideal for AI training. P4000 reaches 5.3 TFLOPS FP16. The A100 is approximately 59 times faster in half-precision.
What are the power consumption differences?▾
A100 has a 400W TDP for datacenter use. P4000 uses 105W, better for low-power workstations. This impacts cloud instance cooling and costs.
Which GPU supports better interconnects?▾
A100 includes NVLink, PCIe 4.0, and InfiniBand for multi-GPU clusters. P4000 relies on PCIe alone. A100 scales better for distributed computing.
When was each GPU released?▾
A100 launched with Ampere architecture in 2020. P4000 uses Pascal from 2017. The three-year gap explains vast spec improvements.
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.