A runnable networking deep dive for the Kubernetes cookbook.
This appendix assumes you completed:
appendix-c-kubeadm.md
| # Zsh Config | |
| # | |
| # Shorten 'ls' command with colors | |
| alias ls='ls -G' | |
| # Simple fast serve | |
| alias serve='python3 -m http.server 8000' | |
| export PATH="${PATH}:$(go env GOPATH)/bin" | |
| # Improve history |
Below is the shape I’d give an agent with near-unlimited GPU access.
I would not tell it:
“Make a god model.”
That is too vague and dangerous.
| #!/usr/bin/env python3 | |
| import os, time | |
| os.environ.setdefault("HF_HOME", "/root/deepseek/hf-cache") | |
| os.environ.setdefault("HF_HUB_OFFLINE", "1") | |
| os.environ.setdefault("VLLM_DEEPSEEK_V4_FALLBACK", "1") | |
| os.environ.setdefault("VLLM_USE_DEEP_GEMM", "0") | |
| os.environ.setdefault("VLLM_USE_FLASHINFER_SAMPLER", "0") | |
| from vllm import LLM, SamplingParams |
Australia’s malaise is not mysterious. We have become very good at distributing scarcity and very bad at building capacity. Housing is scarce, infrastructure is slow, energy is contested, tax rewards passive asset gains, migration is not clearly tied to national capability, and too much public spending is absorbed by systems that respond late rather than prevent failure early.
The national task should be simple: make Australia easier to build in, easier to work in, easier to invest in productively, and harder to exploit.
The first switch is housing abundance. Australia cannot sustain strong migration, family formation, low inequality, productive cities or social cohesion while homes remain artificially scarce. We need to legalise more apartments and townhouses near jobs, transport and services; override local vetoes where they block state or national targets; expand construction skills; standardise approvals; and fund infrastructure in
This guide walks through enabling NVIDIA GPUDirect Storage (GDS) so a system can perform direct DMA transfers between NVMe devices and GPU VRAM.
The minimum success criteria:
nvidia_fs.ko loads successfullygdscheck reports GDS operational| """ | |
| Mixture-of-Experts Router with LangGraph | |
| An intelligent routing system that selects the cheapest model tier capable of | |
| handling each request, with automatic escalation when quality checks fail. | |
| Features: | |
| - LLM-based routing with confidence scoring | |
| - Graduated escalation ladder (small → reasoning → large) | |
| - LLM judge for quality gating |
| # Globals for logging and turning off https | |
| # Read the following next time experimenting | |
| # https://pratikpc.medium.com/using-caddy-to-create-virtual-hosts-for-your-multi-domain-names-as-a-reverse-proxy-from-a-single-2ce0b7a53a9e | |
| # Dont forget | |
| # caddy fmt --overwrite && caddy reload | |
| { | |
| auto_https off | |
| } | |