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RTX 5090 and M4 MacBook Air: Can It Game? (scottjg.com)

699 points by allenleee · 61 days ago · 180 comments on HN

Article summary

The article discusses the possibility of using an NVIDIA RTX 5090 GPU with an M4 MacBook Air via a Thunderbolt eGPU setup. The author explores the technical challenges and limitations of this setup, including the lack of NVIDIA drivers for Apple Silicon and the need for PCI passthrough on macOS. The author successfully runs Linux in a virtual machine on the MacBook Air and passes through the GPU, allowing for gaming and AI inference. However, the performance is not perfect due to various technical limitations.

Main themes

  • eGPU setup
  • PCI passthrough
  • macOS limitations
  • AI assistance
  • Gaming on MacBook
  • Technical workarounds

What commenters say

  • The use of AI tools can be helpful in navigating complex technical projects, but they can also be discouraging and provide outdated information.
  • The high standards for AI tools are unfair, as they are compared to human capabilities and existing systems that also have flaws.
  • The discussion around AI tools has become overly focused on their limitations and potential to replace human workers, rather than their potential benefits and assistive capabilities.
  • The knowledge cutoff of AI models can lead to outdated information and incorrect answers, which can be frustrating for users.
  • Despite limitations, AI tools can still provide valuable assistance and accelerate progress in complex projects, especially when used as intended, as tools rather than replacements for human expertise.
  • The expectations for AI tools are often unrealistic, and they should be viewed as non-deterministic systems that can make mistakes, just like humans.
  • The comparison between AI tools and human capabilities is not always fair, as AI tools have different strengths and weaknesses, and can provide benefits in specific areas such as research and information gathering.
  • The potential for AI tools to improve and change over time should not be dismissed, and they should be evaluated based on their current capabilities and potential for growth.