Instagram — Uptime Lab

uptime.lab

🛠️ Hackathon every day
Hi! I'm Ivan (@merocle), nice to see you here! This account for my different DIY projects. no AD, just DIY

UpBerry v0.7 The device is based on the Raspberry

UpBerry v0.7
The device is based on the Raspberry Pi Compute Module 4.
The main task of the device is to display various dashboards or information screens. Replacement of the ChromeBit, which, unfortunately, is discontinued.
Anodized aluminum case with a plastic bottom. Button (in the hole) for flashing or accessing CM4 internal memory from another computer by USB.
Can potentially be used as a very small computer by connecting to a USB hub.
No cooling problems. The case is warm but dissipates enough heat. No problems with Wi-Fi and BT either, you can see the tests in the pinned stories
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#UpBerry #uptimelab #raspberrypi #raspberrypi4 #diyelectronics #3dprinting #cnc #raspberrypi3

Photo from the production of zero batch Compute Bl

Photo from the production of zero batch
Compute Blade v0.9 RC1
Powered by Raspberry, mass production ready. Very exciting. Hope to get them next week 🤞 v0.9 rebuilt completely and now it' should be a real enterprise-level. Fingers crossed that it works right away!
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#raspberrypicomputemodule #raspberrypi #diyelectronics #hardware #engineering #pcb #printedcircuitboard #uptimelab #computeblade

Water cooling for Raspberry Pi The easy way. CPU i

Water cooling for Raspberry Pi
The easy way.
CPU is about 10-15°C under average load.
Of course, this method has its disadvantages, but as a proof of concept is quite good.
Raspberry Pi CM4, UpBerry v0.7 carrier board, and a special latex bag were used in the experiment.
A live demonstration on the last video in the carousel.
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It's not obvious, but the main thing here is the UpBerry v0.7 which has passed all the tests and the new aluminum case has already been ordered.
P.S. this is all for fun and I can't recommend it all because of the lubricants and not the most aesthetic appearance of the final device
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#technology #raspberrypi4 #raspberrypi #durex #condom #diyelectronics #watercooling #hardware #UpBerry #uptimelab

Smart and uh .. non-Smart Fan Units for BladeRunne

Smart and uh .. non-Smart Fan Units for BladeRunner, enclosure for Compute Blades.
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Smart one:
Based on Raspberry Pi RP2040, 2 temperature sensors, 2 UARTs for communication with blades. Can be programmed to control fan speed based on airflow temperature. Or set the fan speed directly from either of the two blades. Power also from both blades. And of course, monitoring the temperature and fan speed, too
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non-Smart:
PWM Fan can be controlled and monitored from 1 Blade directly
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#raspberrypi #noctua #diyelectronics #kicad #RP2040 #pcb #computeblade #uptimelab #pccooling #server #cluster #3dprinting

Compute Blade v0.9 RC1 Small but important update

I don't think I told you much about Compute Blade

I don't think I told you much about Compute Blade version 0.7
Here it is, with the kitty from the Matrix 🙂
Here's what's new in version 0.7:
- Everything that is in 0.6
- Added a switch to the Dev version. You can turn EEPROM write protection, wi-fi, BT on or off with a switch
- LEDs on the front edge of the PCB
- Components moved a bit
- A switch on the front edge to be pressed with the blade latch. Connected to the GPIO. Can be flexibly programmed with scripts.
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Lots of changes, but not as much as will be in 0.9 Release Candidate 1. Version 0.8 was skipped because too many changes were made in 0.9 RC1.
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On image 4, there are all generations of Blade at the moment (I have a few soldered of each, and a couple are in production)
- v0.7
- v0.6
- v0.5 (micro-HDMI was a wrong choice)
- v0.2 (blue-green deployment example 🙂 )
- v0.1 (developed in a browser-based editor, soldering without a microscope)
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On image 5 Fan Unit v0.1 (based on RP2040). I'll tell more about it in the next iteration
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#raspberrypi #uptimelab #soldering #diyelectronics #computeblade #raspberrypicomputemodule #raspberrypi4 #kubernetes

A cluster of 4 new Raspberry Pi zero 2W. There's 5

A cluster of 4 new Raspberry Pi zero 2W.
There's 5GB of RAM:
512 per node and 3GB on the Raspberry Pi 4 (re-soldered earlier, the 8GB chip went on the CM4)
based on ClusterHAT
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#RaspberryPiZero2W #raspberrypi #raspberrypi3 #raspberrypi4 #cluster

When you get 40pcs Raspberry Pi CM4 with 8GB of RA

When you get 40pcs Raspberry Pi CM4 with 8GB of RAM in 2021
#raspberrypi #raspberrypicm4

MinCab v1 Minimal (useful) carrier board for Raspb

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