From seventy-four days reach di physical limit: Wetin Jensen Huang "speed of light" thinking dey change about engineering
Introduction: Why improve timetable before you understand am?
One team say process dey take seventy-four days. Dem offer to reduce am to seventy-two. Di proposal sound like progress. But wetin if dem fit complete di main work in six days under different arrangement?
These numbers na illustration of method, no be promise about particular project. Jensen Huang dey use "speed of light" thinking to describe searching for di underlying limit before accepting di existing process as starting point.
Di important question no be how to demand more effort from di same people. Na how to separate necessary work from delay wey dem inherit.
1. Di existing process na evidence, no be law of nature
Established timetable fit contain plenty different things: physical work, waiting, approvals, handovers, batching and compromises wey dem make for reasons wey no apply again.
Continuous improvement [Continuous Improvement] dey start from that existing arrangement. E dey ask how di process fit become small better.
First-principles reasoning [First-principles Reasoning] dey ask earlier question. Wetin really must happen, and wetin dey stop am from happening differently?
This no mean say experience no get value. Experienced people plenty times know exactly why difficult step dey. Di point na to recover those reasons instead of treating di timetable itself as explanation.
2. Find di limit for each important dimension
"Speed of light" na short way to describe di limit of wetin possible under di relevant constraints. E no mean say every business activity literally get limit from di speed wey light dey travel.
For computing, di dimensions fit include memory movement, energy, response delay [Latency], processing rate [Throughput], cost and manufacturing time. Design fit near im limit for one dimension while plenty room still dey for another.
To separate those dimensions useful. System wey deliver one answer quickly fit different from system wey dem design to process many requests efficiently. To optimise one no automatically optimise di other.
Before dem combine everything into final design, di team suppose understand wetin each objective demand.
3. Establish ideal baseline, then explain di gap
Di six-day illustration get value only when dem examine di remaining sixty-eight days.
Some of that gap fit get good reason. Slower process fit cost less, use scarce equipment more fairly or provide necessary inspection. Other delays fit come from repeated decisions or sequence wey nobody don question recently.
Di exercise make those choices visible. Instead of arguing whether dem fit save two days, di team fit discuss why dem dey accept much bigger gap from di underlying baseline.
So physical minimum na reference point for judgment. E no automatically be di correct commercial deadline.
4. Simplicity mean to remove complexity wey no necessary
Advanced computing system fit contain plenty parts wey dey interact and still get simple purpose. Complexity become problem when e exist without serving that purpose.
Huang approach na to ask whether component, step or dependency necessary. If e necessary, understand am. If e no necessary, ask why e still dey.
This different from removing parts of system until e no fit do im work again. Power delivery, cooling, testing and reliability no become optional because dem make diagram complicated.
Di useful target na design with enough complexity to meet im requirements, without extra complexity wey only dey preserve habit.
5. Leaders need understand where action dey happen
Project report fit describe delay while e hide di cause. For di place where work dey happen, di explanation fit much clearer.
How dem dey install cable? Why component dey wait? Which decision dey block di next task? These questions connect di broad system to di small actions wey produce am.
Urgency become useful when e remove real obstacle. To repeat more aggressive deadline without understanding di work no dey create engineering progress.
Leadership suppose help expose di constraint, bring di right expertise together and decide which trade-offs acceptable.
Conclusion: Question di baseline before celebrating di improvement
Di strength of "speed of light" thinking na di discipline to ask why. Why this sequence? Why this waiting period? Why this design? Which limits come from physics, and which ones come from choices?
Once those answers clear, continuous improvement get better foundation. Di team fit improve process wey dem understand, instead of polishing process wey dem inherit.
Di method no promise say every seventy-four-day project go take six days. E dey ask di team to know why e no dey happen. That knowledge dey change di quality of every decision wey follow.
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