Ben Chuanlong Du's Blog

It is never too late to learn.

Hardware for AI

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

TVM for deep learning is kind of like LLVM for programming languages.

Nvidia TensorRT

Embedded/Edge AI

Jetson Nano

Google Coral

Intel Neural Compute Stick 2

https://heartbeat.fritz.ai/edge-tpu-google-coral-usb-accelerator-cf0d79c7ec56

https://blog.usejournal.com/google-coral-edge-tpu-vs-nvidia-jetson-nano-a-quick-deep-dive-into-edgeai-performance-bc7860b8d87a

https://mp.weixin.qq.com/s/NtnTQIecFq1L1ffPnirMIA

Tutorials

https://mp.weixin.qq.com/s/mId2Y4Do2k67pKq1WDVm8A

https://mp.weixin.qq.com/s/IraqkibhGciJ37sKoGxyvg

CPU:i9-10920X 显卡GPU:七彩虹RTX3090 Advance 内存:芝奇幻光戟16G x 4共64G 主板:华硕X299-DELUXE PRIME 固态硬盘:1TB西数NVME SSD + 1TB三星870QVO SATA SSD 机械硬盘:希捷EXOS 12TB氦气盘 电源:海盗船AX1200i 1200W模组电源 散热器:海盗船H100X240水冷 + 若干120机箱风扇 机箱:海盗船AIR540 E-ATX机箱

  • 最佳性价比GPU:RTX 2070
  • 避免的坑:所有Tesla、Quadro、创始人版(Founders Edition)的显卡,还有Titan RTX、Titan V、Titan XP
  • 高性价比:RTX 2070(高端),RTX 2060或GTX 1060 (6GB)(中低端)
  • 穷人之选:GTX 1060 (6GB)
  • 破产之选:GTX 1050 Ti(4GB),或者CPU(原型)+ AWS / TPU(训练),或者Colab
  • Kaggle竞赛:RTX 2070
  • 计算机视觉或机器翻译研究人员:采用鼓风设计的GTX 2080 Ti,如果训练非常大的网络,请选择RTX Titans
  • NLP研究人员:RTX 2080 Ti
  • 已经开始研究深度学习:RTX 2070起步,以后按需添置更多RTX 2070
  • 尝试入门深度学习:GTX 1050 Ti(2GB或4GB显存)

https://www.digitalstorm.com/configurator.asp?id=3137888

Need UPS in case of power interruption

https://list.jd.com/Search?keyword=%E5%8F%B0%E5%BC%8F%E6%9C%BA%E6%96%AD%E7%94%B5%E4%BF%9D%E6%8A%A4%E7%94%B5%E6%BA%90&enc=utf-8&spm=2.1.11

References

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