First Words: LLM Inference on RISC-V
2026-03-11
Running LLM inference on RISC-V with the Python ML stack. Transformers generates text at 0.15-0.93 tok/s on a BananaPi F3, while llama.cpp hits 8.21 tok/s.
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➦ The Dependency Rabbit Hole: Why 25 RISC-V Python Wheels Weren’t Enough
2026-03-11
A clean-machine pip install exposed stale riscv64 PyTorch wheels, missing system libraries like libopenblas, and transitive dependencies (numpy, grpcio) our PEP 503 wheel index missed.
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➦ Building a Python Wheel Factory for RISC-V
2026-03-10
How I built a PEP 503 wheel index for riscv64 Python packages using two BananaPi F3 boards, GitHub Actions self-hosted runners, and 26 forked repos.
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➦ Installing XCP-ng on Scaleway Elastic Metal: 30 Hours of Pain, 10 Minutes of Script
2026-03-05
Installing XCP-ng on Scaleway Elastic Metal the hard way: QEMU disk passthrough, Dell firmware bugs, Open vSwitch networking, and a script that does it all in 10 minutes. Part 2 of 3.
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➦ Running 100 Wasm Containers on a Raspberry Pi (with 903 MB of RAM)
2026-03-01
100 WebAssembly containers on a Raspberry Pi 3B+ with 903 MB of RAM: 34 MB total, 164 KB per container. Measured every data point. Here's how Wasm compares to Docker on memory-constrained hardware.
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➦ Your AI Agents Need Their Own Computers
2026-02-28
Part 1 of 3 - Why the future of AI-assisted development runs on hypervisors
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