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Story

Nvidia is proposing a beast of a CPU system for Windows PCs

1 report

1 website

1 discussion

Latest report

Overview

Nvidia is proposing a beast of a CPU system for Windows PCs. It has 128 GB of shared memory and comes with up to 6,144 state-of-the-art CUDA cores. CPU wise, the chip has 10 performance cores and 10 efficiency cores. The performance cores are based on the Cortex-X925. These Bạn mới làm quen với X ư? Đăng ký ngay để nhận dòng thời gian cá nhân hóa của riêng bạn!

Summary from twitter.com.

Reports

One report so far. Additional coverage will appear here when it is linked to this story.

  1. twitter.com

    Nvidia is proposing a beast of a CPU system for Windows PCs

    Read report →

Community reactions

Each reaction summarizes sampled comments from the linked discussion.

Hacker News · twitter.com

Nvidia is proposing a beast of a CPU system for Windows PCs ↗
Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Read this discussion’s reaction

Based on 5 sampled comments from this thread. Analyzed 2026-06-06.

  • Praise: The Unified Memory pool is a potential game changer in system architecture, optimizing resource utilization and reducing overall memory costs for various applications.
  • Praise: Qualcomm's Snapdragon X2 Elite Extreme demonstrates impressive single-core performance and power efficiency, making it a strong competitor against Nvidia's offerings.
  • Praise: Qwen 3.6 shows significant advancements in performance and reliability for various tasks, indicating that smaller models can still deliver substantial utility.
  • Concern: Many users doubt the practicality of running AI models locally, viewing it as a niche application that may not justify the hardware investment.
  • Concern: Critics argue that Nvidia's new architecture may not significantly improve gaming performance, raising questions about its overall value proposition.
  • Concern: There are concerns about Nvidia's aggressive market segmentation with VRAM, which could limit the accessibility and affordability of their high-performance GPUs.