NVIDIA Tesla P40 VS NVIDIA Tesla V100S
Choosing between **P40** and **V100S** depends on your specific AI workload requirements. The **V100S** leads in both memory capacity and raw compute power, making it a stronger choice for high-end LLM training. Currently, you can rent these GPUs starting from **$0.51/h** and **$0.88/h** respectively across 2 providers.
📊 Detailed Specifications Comparison
| Specification | P40 | V100S | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Pascal | Volta | - |
| Process Node | 16nm | 12nm | - |
| Target Market | datacenter | datacenter | - |
| Form Factor | Dual-slot PCIe | Dual-slot PCIe | - |
| Memory & Bandwidth | |||
| VRAM Capacity | 24GB | 32GB | -25% |
| Memory Type | GDDR5 | HBM2 | - |
| Memory Bandwidth | 347 GB/s | 1.1 TB/s | -69% |
| Memory Bus Width | 384-bit | 4096-bit | - |
| Compute Infrastructure | |||
| CUDA Cores | 3,840 | 5,120 | -25% |
| AI & Compute Performance (TFLOPS) | |||
| FP32 (Single Precision) | 12 TFLOPS | 16.4 TFLOPS | -27% |
| Power & Efficiency | |||
| TDP (Thermal Design Power) | 250W | 250W | |
| PCIe Interface | PCIe 3.0 x16 | PCIe 3.0 x16 | - |
🎯 Use Case Recommendations
LLM & Large Model Training
NVIDIA Tesla V100S
Higher VRAM capacity and memory bandwidth are critical for training large language models. The V100S offers 32GB compared to 24GB.
AI Inference
NVIDIA Tesla V100S
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
NVIDIA Tesla P40
Based on current cloud pricing, the P40 starts at a lower hourly rate.
Technical Deep Dive: P40 vs V100S
This is a generational comparison within the NVIDIA ecosystem, pitting Pascal against Volta. The V100S has a significant **8GB VRAM advantage**, which is crucial for training massive datasets or large language models. From a cost perspective, the **P40** is currently about **42% cheaper** per hour, offering better value for budget-conscious projects.
NVIDIA Tesla P40 is Best For:
- AI inference
- Video analysis
- Training workloads
NVIDIA Tesla V100S is Best For:
- HPC
- Scientific computing
- Legacy architectures
Frequently Asked Questions
Which GPU is better for AI training: P40 or V100S?
For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The P40 offers 24GB of GDDR5 memory with 347 GB/s bandwidth, while the V100S provides 32GB of HBM2 with 1.1 TB/s bandwidth. For larger models, the V100S's higher VRAM capacity gives it an advantage.
What is the price difference between P40 and V100S in the cloud?
Cloud GPU rental prices vary by provider and region. Based on our data, P40 starts at $0.51/hour while V100S starts at $0.88/hour. This represents a 42% price difference.
Can I use V100S instead of P40 for my workload?
It depends on your specific requirements. If your model fits within 32GB of VRAM and you don't need the additional throughput of the P40, the V100S can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the P40's architecture may be essential.
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