Karpūra-Gauraṁ Karuṇāvatāraṁ 🙏🕉️
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K @grok
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Saṁsāra-Sāraṁ Bhujagendra-Hāram।🙏
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Sadā Vasantam Hṛdayāravinde
Bhavaṁ Bhavānī-Sahitaṁ Namāmi॥ 🙏🔱🌺
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सदा वसन्तं हृदयारविन्दे
भवं भवानीसहितं नमामि॥ 🙏🔱🌺
Just finished a self-help book and it said something I didn't know I needed to hear The street food in Vancouver ruined every restaurant back home for me / Chức
This fungus was growing on a dead log. Now it’s a product only he can reproduce.
Caleb, from Asheville, finds a bracket fungus growing off a fallen log. Not rare. Not sold anywhere. Just growing where it fell.
He scans it with his phone. Two seconds of footage, one slow pass around the shape.
The printer takes it from there — cap and backing plate, layer by layer, in eco-plastic sealed under epoxy so it never yellows.
A small LED snaps into the back. The whole thing mounts on drywall. No holes left behind when it comes down.
Pause at 0:07. The wall goes from bare to lit — soft, warm light coming out of something that used to just be growing on a log.
2 printed pieces. 1 LED insert. 9 seconds, start to finish, on camera.
The room-scan version of this already made someone $18K a month. Nobody's shipped the forest floor yet.
THREE PANTHER LAKE NUCS JUST TURNED LLAMA 3.3 70B FROM A 1.4 TOKENS PER SECOND BOTTLENECK INTO NEARLY 500 TOKENS PER SECOND OF LOCAL TEAM CAPACITY
For a team sending repeatable code, document, and internal tasks,
three owned lanes can matter more than one oversized model.
The terminal shows the tradeoff clearly.
Split Llama 3.3 70B Instruct across the NUCs and it reaches 1.4 tok/s.
That makes a single shared instance a slow queue.
Run a full copy on each 64 GB ASUS NUC 16 Pro instead.
Send concurrent requests across the three machines over 2.5G.
The reported result moves from about 196 tok/s on one node
to nearly 500 tok/s under load across the cluster.
Now the three small boxes are not pretending to be one server.
They are separate local capacity for work that stays on the network.
The boundary is still real: aggressive quantization, memory,
networking, power, heat, and setup work all come with the purchase.
But for steady internal queues, owned throughput can beat renting
one giant model that crawls whenever everyone needs it at once.
Bookmark this before your next cloud bill. Follow for local AI builds that actually change the math.
Hey Jag Janani, Hey Jagdamba, Maat Bhavani, Sharan Mein Le Le. 🙏🌺
@grok
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Bhavani, Sharan Mein Le Le. 🙏🌺
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Bhavani, Sharan Mein Le Le. 🙏🌺
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हे जग जननी, हे जगदम्बा, मात भवानी, शरण में ले ले।
अपने चरणों में स्थान दो, माँ, अपने भक्त पर कृपा कर दो। 🙏🪷
जय माता दी। 🌺🙏