AiMind
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6 dead office PCs at $50 each run a Kubernetes cluster that AWS would bill $10,000 a year for. Most home labs die before they boot. Someone specs a Xeon. Prices 128GB of RAM. Opens 40 tabs. Buys nothing. The build that actually runs is uglier than that. HP EliteDesk 800 G3 Mini. Corporate castoffs, dumped on eBay by the pallet every time an office refreshes. $50 a unit, sold stripped. 16GB of RAM and a 256GB NVMe put each one back to work. 35W chips. All 6 idle under 100W. k3s on top, not kubeadm. 1 binary, 512MB of RAM. node1 starts the cluster. node2 and node3 join as servers. That is 3 etcd members, so losing one kills nothing. 6 nodes. 17 namespaces. 173 pods. CPU idling at 4.6%. The same cluster on EKS: 6 t3.xlarge at $121 a month, plus $73 for the control plane. $9,636 a year. $300 once. And it did not start there. The first server was a retired gaming PC headed for a closet. The right first machine is the one already collecting dust. Stop planning the rack. Start having fun.
AiMind28,629 Aufrufe • vor 3 Tagen
48GB of VRAM rents for $500 a month, and this rig has room to double it. A vertical frame. A bare motherboard. One graphics card, exposed and humming. No rack. No server room. Just a desk. Ryzen 9 9950x. AsRock Taichi X870E. 96GB of DDR5 at 6000MT/s. A Thermalright Royal Pretor 130 Ultra on top. A 1300-watt Super Flower supply feeding all of it. One card. 48GB of VRAM. On the open market, that card alone rents for $0.58 to $0.82 an hour. Run it around the clock, and it clears $500 a month, crunching someone else's AI workloads. The motherboard and the power supply were not picked at random. Both, for one reason: a second GPU. Slide it in, and VRAM doubles to 96GB. So does the money: $1,000 a month, from a machine that fits under a desk. Most people rent that power by the hour. This desk prints it.
AiMind30,720 Aufrufe • vor 4 Tagen
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