I❤️
محمد ﷺ
MUHAMMAD
I❤️
محمد ﷺ
MUHAMMAD
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محمد ﷺ
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محمد ﷺ
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محمد ﷺ
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محمد ﷺ
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محمد ﷺ
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محمد ﷺ
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I❤️
محمد ﷺ
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I❤️
محمد ﷺ
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I❤️
محمد ﷺ
MUHAMMAD
Allah
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♥️ I LOVE ALLAH♥️
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♥️ I LOVE ALLAH♥️
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♥️ I LOVE ALLAH♥️
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♥️ I LOVE ALLAH♥️
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Allah
This is my Kaito social card.
As you can see, I wasn't very active during @KaitoAI biggest growth phase, so I missed the chance to build connections with many people.
Those who were there from the beginning will remember what it was like. Back then, no one really knew who consistently created valuable content or who would become a respected voice. People followed each other, supported each other, and many early participants naturally ended up with a large number of smart followers.
People like me, who joined later, simply started the race a few steps behind.
But over time, I realized something important.
Having fewer smart followers doesn't mean your content lacks quality. It doesn't mean you haven't helped others or shared valuable insights. Sometimes, it simply means you weren't in the right place at the right time.
Not all of us started this journey on the same day, and that's okay.
If you've ever looked at your profile and felt like you were already too late, you're not alone. Many creators quietly show up every day, keep learning, keep sharing, and keep adding value without getting the recognition they deserve.
Your numbers don't define your impact. The people you've helped, the knowledge you've shared, and the consistency you've built matter far more than any metric.
Let's build a community that values contribution over numbers and encourages people to keep showing up, no matter when they started.
So if you're still creating, keep going.
Stay consistent. Keep learning. Keep helping others.
We may have missed the first wave, but that doesn't mean we'll miss the next one.
When the next opportunity comes, the people who never stopped building will be ready.
https://t.co/lC7COrWPVZ
FOUR $130 TESLA CARDS CAN PUT 96GB OF VRAM INSIDE THIS AI SERVER FOR LESS THAN THE PRICE OF ONE USED RTX 3090.
00:05 he shows the massive multi-GPU workstation: a server-sized chassis built to hold several graphics cards, large power supplies, and serious cooling.
the cheapest card for a build like this is the Tesla M40. each one costs around $130 used, carries 24GB of VRAM, and originally sold for roughly $3,500.
four cards give the server 96GB of VRAM across the system. even after adding cooling shrouds and power adapters, the full GPU setup lands near $660.
one used RTX 3090 costs around $700 and is much faster, but it only has 24GB. the Tesla setup trades speed for four times more total memory and more parallel AI workloads.
leave the server running overnight and it can process videos, generate images, transcribe files, organize documents, and run private AI agents without another monthly cloud bill.
bookmark this before used Tesla cards become expensive again.
Don't skip
Help us in any way you can🙏🏾
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I desperately need milk for my baby.🍼https://t.co/LJOKzDVafD