This weekend take a mere 3 min.36 sec. to relax and enjoy some piano magic as you listen to my sweet "Cherry Blossoms", recorded live and playing for you now at https://t.co/WjTlIoQdMH!
I'm giving you musical fuel to start your new weekend, with my sunny multi-keyboard wizardry "Hail To The Heavens", playing now at https://t.co/WjTlIoQdMH!
Life Brings Scars "written/recorded July 23rd 2026" https://t.co/K9m73SIOqJ via @YouTube No angels here..Walking around in flesh and bone.. Nobody makes it through this life..Without a scar or two..Living in these days of..Lies disguised as truths..
ENTERPRISE SERVERS ARE OVERPRICED DINOSAURS.
Stop renting overpriced cloud compute.
The photos show a custom-built high-density cluster using Raspberry Pi Compute Module 4 nodes paired with massive HDD storage. This is a compact, rack-mountable, local-first powerhouse.
The Stack:
Compute: 8x-12x Raspberry Pi CM4 nodes.
Storage: Enterprise-grade Seagate IronWolf HDDs.
Chassis: Custom 1U/2U form factor with integrated switching.
Unit Economics:
Traditional Server: $15,000+ upfront + $500/mo in cloud overhead.
This Build: ~$2,500 total hardware cost.
Power: Under 100W at full load.
ROI: Pays for itself in 6 months by eliminating egress fees and subscription bloat.
Efficiency is not about buying more; it is about building smarter.
Stop funding vendor lock-in. Build your own infrastructure.
Paying thousands a year for PCB design software? You really don't need to.
KiCad is the undisputed king of open-source EDA. It handles everything from quick hobbyist breakouts to massive 32-layer production boards.
Why hardware engineers love it:
🔹 Zero Subscriptions: 100% free, open-source, and cross-platform
🔹 Pro-Grade Suite: Schematic capture, push-and-shove PCB routing, & differential pair tuning
🔹 Raytraced 3D Viewer: Inspect mechanical clearances before sending gerbers to the fab house
Stop renting your EDA software. Take total control of your hardware designs.
Small objects can show that gravity is real.
The Cavendish experiment proved that even tiny masses pull on each other, showing gravity works everywhere, not just between planets.
Running AI directly on $5 microcontroller hardware keeps getting easier.
ESP32-AI adds a 28.9M LLM to your microcontroller. It's very impressive for the chip size. It gives you lightweight AI capabilities right on ESP32 microcontrollers.
Key highlights:
• On-device edge inference without relying on cloud APIs
• Ultra-low power consumption for IoT hardware & sensors
• Streamlined C++ setup for fast integration
Small-footprint edge ML is where real-world robotics and smart devices win.