Colab 系統資源

The Virtual Machine(VM) used for Colaboratory has 13GB RAM and 2 vCPU

• 2-core Xeon 2.3GHz
• 13GB RAM
• 359GB HDD
• Telsa K80 GPU

maximum lifetime of a VM is 12 hours. Idle VMs time out after 90mins [0].

See System Information Using Command Line Tools

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!cat /proc/cpuinfo

Figure 1$\colon$ CPU of Colab (Dual-core 2.3GHz XEON chip)

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!cat /proc/meminfo

Figure 2$\colon$ Memory of Colab (13GB total)

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!df -h

Figure 3$\colon$ Disk space of Colab (359GB total)

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!nvidia-smi

Figure 4$\colon$ GPU info. of Colab (Telsa K80)

See CPU and GPU info using Python Package

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# memory footprint support libraries/code
!ln -sf /opt/bin/nvidia-smi /usr/bin/nvidia-smi
!pip install gputil
!pip install psutil
!pip install humanize
import psutil
import humanize
import os
import GPUtil as GPU
GPUs = GPU.getGPUs()
# XXX: only one GPU on Colab and isn’t guaranteed
gpu = GPUs[0]
def printm():
 process = psutil.Process(os.getpid())
 print("Gen RAM Free: " + humanize.naturalsize( psutil.virtual_memory().available ), " | Proc size: " + humanize.naturalsize( process.memory_info().rss))
 print("GPU RAM Free: {0:.0f}MB | Used: {1:.0f}MB | Util {2:3.0f}% | Total {3:.0f}MB".format(gpu.memoryFree, gpu.memoryUsed, gpu.memoryUtil*100, gpu.memoryTotal))
printm()

Figure 5$\colon$ CPU and GPU memory usage

[0]
https://stackoverflow.com/questions/47805170/whats-the-hardware-spec-for-google-colaboratory

[1]
Detail of Memory, CPU, Disk usage

[2]
VM Spec.

[3]
Stack overflow for CPU/GPU info.