NVIDIA Tesla P40 VS NVIDIA Tesla K80

Choosing between **P40** and **K80** depends on your specific AI workload requirements. Currently, you can rent these GPUs starting from **$0.51/h** and **$0.10/h** respectively across 3 providers.

NVIDIA

P40

VRAM 24GB
FP32 12 TFLOPS
TDP 250W
From $0.51/h 1 providers
NVIDIA

K80

VRAM 24GB
FP32 8.7 TFLOPS
TDP 300W
From $0.10/h 2 providers

📊 Detailed Specifications Comparison

Specification P40 K80 Difference
Architecture & Design
Architecture Pascal Kepler -
Process Node 16nm 28nm -
Target Market datacenter datacenter -
Form Factor Dual-slot PCIe Dual-slot PCIe -
Memory & Bandwidth
VRAM Capacity 24GB 24GB
Memory Type GDDR5 GDDR5 -
Memory Bandwidth 347 GB/s 480 GB/s -28%
Memory Bus Width 384-bit 384-bit -
Compute Infrastructure
CUDA Cores 3,840 4,992 -23%
AI & Compute Performance (TFLOPS)
FP32 (Single Precision) 12 TFLOPS 8.7 TFLOPS +38%
Power & Efficiency
TDP (Thermal Design Power) 250W 300W -17%
PCIe Interface PCIe 3.0 x16 PCIe 3.0 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 K80 offers 24GB compared to 24GB.

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

NVIDIA Tesla K80

Based on current cloud pricing, the K80 starts at a lower hourly rate.

Automated Comparison

Technical Deep Dive: P40 vs K80

This is a generational comparison within the NVIDIA ecosystem, pitting Pascal against Kepler. From a cost perspective, the **K80** is currently about **80% cheaper** per hour, offering better value for budget-conscious projects.

NVIDIA Tesla P40 is Best For:

  • AI inference
  • Video analysis
  • Training workloads

NVIDIA Tesla K80 is Best For:

  • Old software support
  • Any modern AI

Frequently Asked Questions

Which GPU is better for AI training: P40 or K80?

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 K80 provides 24GB of GDDR5 with 480 GB/s bandwidth. Both GPUs have similar VRAM capacity, so performance characteristics become the deciding factor.

What is the price difference between P40 and K80 in the cloud?

Cloud GPU rental prices vary by provider and region. Based on our data, P40 starts at $0.51/hour while K80 starts at $0.10/hour. This represents a 410% price difference.

Can I use K80 instead of P40 for my workload?

It depends on your specific requirements. If your model fits within 24GB of VRAM and you don't need the additional throughput of the P40, the K80 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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