Is the data accurate?

Posted on by lechuck park

Looking at how my career started…
From a young age, computer programming has been something I have enjoyed with great interest.
What we do is use logic that works precisely based on data.
Making it… Especially at the system kernel level, details like how to operate for optimization… So I wasn’t very interested in data coming in from outside, nor was I used to doubting the data itself.

But… Data center? Upon entering the world… A little later, about DCIM… What is the newest thing you learned while getting to know it… How difficult it is to make the data itself accurate and stable at the desired level. “Preparing accurate data (numbers).”

Moreover. Now, at AI DC… From the perspective of expanding automation to respond to larger, high-density, and high-volatility…
“Is that data (number) accurate?”
“Is the explanation of that data (number) accurate?”
is the most important thing above all. This is the beginning of everything.

There’s something I often say.

In the past, in “1+1=0,” we used to do +,= (calculation)… I never knew it would be so difficult for this guy to get even one ‘1’ so accurate.”

As expected, the more you know, the harder the world becomes.
Sometimes I just want to do programming I liked—or maybe maybe I want to create something on my own…. That’s just a temporary thought… What I liked was about making things, and I know very well that we have to work together for that. Now, 🙂

80:20

Posted on by lechuck park

The central theme of the image is captured by the prominent text in the sky: “The Foundation Never Betrays You.” Just below it, a supporting phrase states, “True speed and innovation are possible only on a solid foundation.”

The Bottom Section: The Solid Foundation (80%)
The lower portion of the structure resembles an ancient, massive stone base. This represents the essential framework (Data, Protocol, Infrastructure) that accounts for 80% of the entire system. This foundation consists of four key pillars:

  • Data Collection: Sensors, Logs, Metrics, Events.
  • Standard Protocol: SNMP, Redfish, gRPC/API, Open Standards.
  • Infrastructure Stability: Compute, Network, Power, Cooling.
  • Data Quality & Governance: Accuracy, Consistency, Security, CMDB.

The Top Section: Innovation & High Speed (20%)
Atop the stone foundation sits a transparent, modern data center building. This represents the innovation layer, making up the remaining 20%, which symbolizes AI Agent, Orchestration, Automation, and Performance.

  • The sky on the right lists the resulting benefits: Faster Response, Higher Efficiency, Greater Innovation, and Self-Operating.

Surrounding Background & Details

  • Bottom Left: A boy with a backpack and a cat sit on a grassy hill, looking up at the massive structure. A nearby signpost reads, “Small details build big results.”
  • Right Background: Along with the phrase “From a Stable Foundation to Infinite Possibilities,” a spacecraft (or jet) is depicted flying rapidly over a futuristic city, hinting at technological advancement and the future.

📝 Summary

This conceptual illustration visually emphasizes that in order for cutting-edge technologies (such as AI and automation) to operate successfully and achieve true innovation, they must be supported by a rock-solid, unseen foundation (80%) comprising underlying infrastructure, data collection, and standard protocols.

#AIInfrastructure #ITInfrastructure #DataCenter #CloudComputing #SolidFoundation #InnovationAndStability #DataGovernance #ITArchitecture

With Gemini

GPU CPU

Posted on by lechuck park

Traditional Computing (CPU)

  • It presents ‘Multiple threads’, ‘Time-slicing’, and ‘Flattened load’ as its main features.
  • It shows a time-slicing method in the form of bar charts, where multiple threads (Thread 1 to 4) run one by one sequentially by dividing time.
  • The Power Load graph over time remains constant without large fluctuations, and this state is described as ‘Smooth & Predictable’.

AI Computing (GPU)

  • It presents ‘SIMT’, ‘Massive parallel’, and ‘Spiky load’ as its main features.
  • It depicts a massive parallel processing structure where thousands of cores execute the same instruction simultaneously (lock-step), represented by a grid of numerous blue squares.
  • The Power Load graph shows a ‘Spiky’ pattern, with power consumption sharply peaking at specific times because it performs operations at 100% at once.

Summary

A CPU processes multiple tasks sequentially by dividing time, resulting in stable and predictable power consumption. In contrast, a GPU utilizes thousands of cores to process massive calculations in parallel all at once, leading to a structural difference where the power load temporarily spikes.

#CPUvsGPU #AIComputing #ParallelProcessing #TimeSlicing #PowerLoad #HardwareArchitecture

With ChatGPT & Gemini