NVIDIA Tesla P40 VS AMD Radeon Pro V520
Choosing between **P40** and **Radeon Pro V520** depends on your specific AI workload requirements. The **P40** 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 **$0.19/h** respectively across 2 providers.
Radeon Pro V520
📊 Detailed Specifications Comparison
| Specification | P40 | Radeon Pro V520 | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Pascal | RDNA 1 | - |
| Process Node | 16nm | 7nm | - |
| Target Market | datacenter | datacenter | - |
| Form Factor | Dual-slot PCIe | Single-slot PCIe | - |
| Memory & Bandwidth | |||
| VRAM Capacity | 24GB | 8GB | +200% |
| Memory Type | GDDR5 | HBM2 | - |
| Memory Bandwidth | 347 GB/s | 512 GB/s | -32% |
| Memory Bus Width | 384-bit | 2048-bit | - |
| Compute Infrastructure | |||
| CUDA Cores | 3,840 | N/A | |
| Stream Processors | N/A | 2,304 | |
| AI & Compute Performance (TFLOPS) | |||
| FP32 (Single Precision) | 12 TFLOPS | 9.4 TFLOPS | +28% |
| Power & Efficiency | |||
| TDP (Thermal Design Power) | 250W | 225W | +11% |
| PCIe Interface | PCIe 3.0 x16 | PCIe 4.0 x16 | - |
🎯 Use Case Recommendations
LLM & Large Model Training
NVIDIA Tesla P40
Higher VRAM capacity and memory bandwidth are critical for training large language models. The P40 offers 24GB compared to 8GB.
AI Inference
NVIDIA Tesla P40
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
AMD Radeon Pro V520
Based on current cloud pricing, the Radeon Pro V520 starts at a lower hourly rate.
Technical Deep Dive: P40 vs Radeon Pro V520
This head-to-head pits NVIDIA's Pascal against AMD's RDNA 1. The P40 has a significant **16GB VRAM advantage**, which is crucial for training massive datasets or large language models. From a cost perspective, the **Radeon Pro V520** is currently about **63% cheaper** per hour, offering better value for budget-conscious projects.
NVIDIA Tesla P40 is Best For:
- AI inference
- Video analysis
- Training workloads
AMD Radeon Pro V520 is Best For:
- Cloud gaming
- Virtualization
- AI training
Frequently Asked Questions
Which GPU is better for AI training: P40 or Radeon Pro V520?
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 Radeon Pro V520 provides 8GB of HBM2 with 512 GB/s bandwidth. For larger models, the P40's higher VRAM capacity gives it an advantage.
What is the price difference between P40 and Radeon Pro V520 in the cloud?
Cloud GPU rental prices vary by provider and region. Based on our data, P40 starts at $0.51/hour while Radeon Pro V520 starts at $0.19/hour. This represents a 168% price difference.
Can I use Radeon Pro V520 instead of P40 for my workload?
It depends on your specific requirements. If your model fits within 8GB of VRAM and you don't need the additional throughput of the P40, the Radeon Pro V520 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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