Botmonster Tech

Klipper is a 3D printer firmware that moves motion planning off the printer’s microcontroller. The work runs on a Raspberry Pi or similar single-board computer instead. You get faster print speeds (300-500mm/s on a tuned Voron), pressure advance for cleaner corners, input shaping to kill ringing artifacts, and live config changes with no re-flashing. Klipper paired with a Mainsail or Fluidd web UI on a Raspberry Pi 5 is now the default stack for serious 3D printing.

Yes, you can build a self-sufficient, portable Raspberry Pi server powered entirely by the sun - no mains power, no generator, no ongoing fuel cost. With a 30W solar panel, a 12.8V LiFePO4 battery, a charge controller, and a handful of systemd scripts, you can run a weather station, a mesh network node, or a local web server indefinitely from a fence post, a rooftop, or a field station. This guide walks through the math, the parts, and the software that make it work reliably rather than just technically possible.

Gemma 4 shipped on April 2, 2026 with four model variants under the Apache 2.0 license. The 31B dense model ranks third on the Arena AI text leaderboard with a score of 1452. The 26B MoE model scores 1441 while firing only 3.8B of its 26B total parameters per forward pass. So what design choices make this possible? Three of them break from the standard transformer recipe: Per-Layer Embeddings (PLE), Shared KV Cache, and Dual RoPE. Each one shifts the math for inference cost, memory use, and fine-tuning. The rest of this post covers those three, plus the Mixture-of-Experts layer and the multimodal encoders.

A smart garden irrigation system on Home Assistant joins three parts: a Wi-Fi sprinkler controller, a rain sensor, and automations. The automations cancel or adjust watering based on rainfall, soil moisture, and the forecast. With the WiseWater integration and the native scheduler in Home Assistant 2025.12, this setup now beats pricey cloud-bound irrigation systems. Here is how to build one from scratch.

Why DIY Smart Irrigation Beats the Commercial Options

Commercial smart sprinkler controllers like Rachio , Orbit B-hyve , and RainBird Wi-Fi run $100 to $200. Their “smart” features all need a cloud link and often a paid plan. That includes weather skip logic, seasonal tweaks, and soil type awareness. If the vendor shuts down its servers (remember Wink ?), those features revert to dumb timer-only watering. You’re left with an overpriced relay board.

PCIe bifurcation splits one physical PCIe x16 slot into several independent x4 (or x8) logical slots. That lets you fit two to four NVMe drives on one cheap adapter card, often just $20 to $50 for a passive model. Bifurcation is a CPU-level feature, not the job of an extra chip, so each drive gets its own lanes with zero overhead. A Gen4 x4 link delivers around 7 GB/s per drive , the same bandwidth as a standard motherboard M.2 slot. Out of M.2 slots but still have a free x16 PCIe slot? Bifurcation is one of the cheapest ways to add more NVMe storage.

You can find and fix Python memory leaks with three tools that pair well: memray for flame graphs, tracemalloc for line-level tracking, and objgraph for object reference maps. Start with memray to spot the hungry functions. Drop into tracemalloc to find the exact lines. End with objgraph to see why objects won’t get collected. Pair this with generators, __slots__, memory-mapped files, and chunked reads to cut peak memory by 50-80% in data-heavy apps.