Best Computer for Deep Learning

Comments Summary:

• NVIDIA Jetson:

  • Pros: "I have a Jetson Xavier and it's good, not the fastest but great for a small model inferences."
  • Cons: "Very low performance, better off using an older PC. It's like a small Rasberry Pi."

• ASUS ZenBook:

  • Pros: "I use a ZenBook and it's been great for deep learning."
  • Cons: "The GPU isn't the best for big deep learning models."

• MacBook Pro:

  • Pros: "I personally prefer the MacBook Pro for deep learning."
  • Cons: "Not as powerful as other dedicated machines."

• Custom PC:

  • Pros: "Building a Custom PC with a powerful GPU like an NVIDIA RTX can be great for deep learning."
  • Cons: "More expensive than pre-built machines like the Jetson."

• HP Omen Desktop:

  • Pros: "I've been using an HP Omen for deep learning with great results."
  • Cons: "Some users have reported heating issues."

• Dell XPS:

  • Pros: "The Dell XPS is a reliable option for deep learning tasks."
  • Cons: "Not the best for heavy deep learning workloads."

Overall Summary:

• Different users prefer different setups for deep learning such as NVIDIA Jetson for small models, ASUS ZenBook for versatility, MacBook Pro for personal preference, Custom PCs for power, HP Omen for reliability, and Dell XPS for general use.
• Consider the Jetson for small models, a Custom PC with a strong GPU for power, and machines like the ASUS ZenBook or Dell XPS for general deep learning tasks. The MacBook Pro might be preferred for personal reasons despite not being as powerful.
• Ensure to consider the specific needs of your deep learning tasks such as model size and complexity, budget constraints, portability requirements, and personal preferences before deciding on the best computer for deep learning.