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Apple introduces M6 and M5 Ultra (apple.com)

1281 points by interpol_p · 1 day ago · 1245 comments on HN

Article summary

Apple has introduced the M6 and M5 Ultra chips, which offer significant improvements in performance and AI compute. The M6 features a 12-core CPU, 12-core GPU, and Dual 16-core Neural Engine, while the M5 Ultra has a quad-die architecture and is Apple's most powerful chip ever. These chips are designed to provide a major leap in performance and AI capabilities for Mac users. They offer advanced technologies such as UltraFusion and Neural Accelerators, delivering extraordinary compute with industry-leading power efficiency.

Main themes

  • Apple Silicon
  • AI Compute
  • Hardware Advancements
  • Linux Support
  • Ecosystem
  • Innovation
  • Local Models
  • Repairability

What commenters say

  • Apple's focus on hardware has given them a significant advantage in the AI race, allowing them to run large models locally on their devices.
  • The company's decision to not heavily invest in AI software development was a smart move, as they can now leverage their hardware capabilities to provide a better experience for users.
  • The lack of Linux support for Apple's M-series chips is a significant downside, limiting their appeal to users who prefer open-source operating systems.
  • Apple's business model is centered around creating a seamless ecosystem, rather than innovating in individual product categories.
  • The future of AI may lie in small, local models, rather than massive cloud-based models, and Apple is well-positioned to take advantage of this trend.
  • The high cost and limited repairability of Apple's devices are significant drawbacks, despite their impressive performance and capabilities.
  • Apple's ability to adapt and refine existing technologies has allowed them to deliver high-quality products, even if they are not always the first to market.
  • The company's emphasis on hardware has led to significant advancements in areas such as unified memory and GPU performance, which are critical for AI and machine learning applications.