PC V2 (PCV2)

PC V2 SHE SAYS INOCULATE / HALLUCINATE


In the current global landscape, China and North Korea are aggressively advancing their AI hardware and cyber capabilities to bypass international sanctions and conduct large-scale operations.
Fastest AI Processors in China
China is rapidly developing domestic alternatives to restricted U.S. chips to power its massive data centers and state intelligence models.
Huawei Ascend 910C: Frequently cited as China's leading alternative to the Nvidia H100. It reportedly achieves one exaflops of compute density in specific cluster configurations and is already being used by major Chinese institutions like Citic Bank for real-time risk control and fraud detection.
Alibaba PPU 2.0: A powerful processor from Alibaba's chip unit, T-Head, designed to support proprietary AI models and cloud infrastructure.
Cambricon Siyuan 590: A 7-nanometer AI chip modeled after the Nvidia A100, which has enabled the company to power government-backed data centers.
Rest of World
Rest of World
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North Korea's "Hyper AI" and Hacking Tactics
While North Korea lacks the manufacturing power of China, it increasingly uses AI to automate cyberattacks, particularly for financial gain and data theft.
AI-Enhanced Hacking: North Korean state-sponsored groups like the Lazarus Group and APT43 now use AI to generate phishing emails, build fake websites, and write malware, making their attacks far faster and harder to detect.
Targeting Health & Finance: These groups have successfully infiltrated medical device firms to steal biotechnology data and health records. They also famously targeted the Bangladesh Bank, attempting to steal $1 billion by lurking in their systems for a full year.
Smuggling Hardware: To run these "Hyper AI" programs, North Korea reportedly smuggles high-end GPUs and computers from China, bypassing global sanctions to enhance their data analysis and cyber units.
BBC
BBC
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The Speed of Attack
Modern "AI arms races" have drastically reduced "breakout time"—the time it takes for a hacker to move from their initial entry point to stealing your data. Attackers can now move across a network in minutes, often using AI-generated personas to hide their activity.
Chosunbiz
Chosunbiz
Actor Known Capability Notable Hardware/Tools
China Mass surveillance, bank risk modeling Huawei Ascend 910C, SMIC 7nm chips
North Korea Financial theft, medical record hacking AI-generated malware, smuggled GPUs

The "V2" in AI logic chips usually refers to the second generation of specialized processors designed to handle AI tasks. Unlike standard chips that process one thing at a time, these "V2" chips are built to handle thousands of calculations simultaneously.
HONOR
HONOR
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1. What makes them "V2"?
In current tech (like AMD’s Versal Gen 2 or Intel's latest AI PCs), "V2" typically introduces:
AIE-ML v2 (AI Engines): These provide up to 2X more compute power per tile compared to the first generation, using new "native data types" that allow the chip to do more math with less power.
Direct Memory Connection: Modern V2 designs often package memory directly on the processor. This can boost data transfer speeds by 30% while cutting power use by 40%.
Low Precision Math: These chips use "shortcuts" like FP4 or INT8 to perform billions of calculations faster, which is perfect for AI tasks like recognizing faces or generating text.
NVIDIA
NVIDIA
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2. How the AI Logic Works (The "Brain" Parts)
A V2 chip divides its "logic" into three specialized workers:
NPU (Neural Processing Unit): The star of the show. It handles steady AI workloads (like background noise cancellation or blurring) using very little battery.
GPU (Graphics Unit): The "heavy lifter." It handles massive parallel tasks like generating images or video editing.
CPU (Central Unit): The "manager." It handles general tasks and tells the other units when to start working.

https://youtu.be/L9jLmHbRbcs?si=7zIXxghKp9HqWEUC