NVIDIA T4 VS NVIDIA Tesla P100
Choosing between **T4** and **P100** depends on your specific AI workload requirements. Currently, you can rent these GPUs starting from **$0.11/h** and **$0.08/h** respectively across 16 providers.
📊 Detailed Specifications Comparison
| Specification | T4 | P100 | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Turing | Pascal | - |
| Process Node | 12nm | 16nm | - |
| Target Market | datacenter | datacenter | - |
| Form Factor | Single-slot PCIe | Dual-slot PCIe | - |
| Memory & Bandwidth | |||
| VRAM Capacity | 16GB | 16GB | |
| Memory Type | GDDR6 | HBM2 | - |
| Memory Bandwidth | 320 GB/s | 732 GB/s | -56% |
| Memory Bus Width | 256-bit | 4096-bit | - |
| Compute Infrastructure | |||
| CUDA Cores | 2,560 | 3,584 | -29% |
| Tensor Cores (AI) | 320 | N/A | |
| AI & Compute Performance (TFLOPS) | |||
| FP32 (Single Precision) | 8.1 TFLOPS | 9.3 TFLOPS | -13% |
| FP16 (Half Precision) | 65 TFLOPS | N/A | |
| Power & Efficiency | |||
| TDP (Thermal Design Power) | 70W | 300W | -77% |
| PCIe Interface | PCIe 3.0 x16 | PCIe 3.0 x16 | - |
🎯 Use Case Recommendations
LLM & Large Model Training
NVIDIA T4
Higher VRAM capacity and memory bandwidth are critical for training large language models. The P100 offers 16GB compared to 16GB.
AI Inference
NVIDIA T4
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
NVIDIA Tesla P100
Based on current cloud pricing, the P100 starts at a lower hourly rate.
Technical Deep Dive: T4 vs P100
This is a generational comparison within the NVIDIA ecosystem, pitting Turing against Pascal. From a cost perspective, the **P100** is currently about **27% cheaper** per hour, offering better value for budget-conscious projects.
NVIDIA T4 is Best For:
- AI inference
- Video transcoding
- Large model training
NVIDIA Tesla P100 is Best For:
- Legacy AI workloads
- Precision-heavy training
Frequently Asked Questions
Which GPU is better for AI training: T4 or P100?
For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The T4 offers 16GB of GDDR6 memory with 320 GB/s bandwidth, while the P100 provides 16GB of HBM2 with 732 GB/s bandwidth. Both GPUs have similar VRAM capacity, so performance characteristics become the deciding factor.
What is the price difference between T4 and P100 in the cloud?
Cloud GPU rental prices vary by provider and region. Based on our data, T4 starts at $0.11/hour while P100 starts at $0.08/hour. This represents a 38% price difference.
Can I use P100 instead of T4 for my workload?
It depends on your specific requirements. If your model fits within 16GB of VRAM and you don't need the additional throughput of the T4, the P100 can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the T4's architecture may be essential.
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