Resources
Practical guides on private AI, on-premise LLM deployment, and self-hosted AI for Australian businesses. Written by people who actually run this stuff.
Coming soon
We're writing up our experience deploying private AI systems for Australian businesses. Expect articles on choosing the right GPU, setting up Ollama and vLLM, securing on-premise AI, and what it actually costs to run your own AI instead of paying per-seat cloud subscriptions.
Why your law firm shouldn't use ChatGPT
Client privilege, data sovereignty, and why on-premise AI is the safe choice for legal practices.
In progressHow to choose a GPU for AI inference
VRAM vs bandwidth, 3090 vs 4090 vs 5090 vs workstation cards, and what actually matters for LLM workloads.
PlannedOllama vs vLLM: which one should you use?
Two great inference engines with different strengths. Here's how we pick for each client.
PlannedWhat does private AI actually cost?
Hardware, software, power, and support. A transparent breakdown of what on-premise AI really costs vs cloud subscriptions.
PlannedSecuring on-premise AI: a practical guide
Encryption, network segmentation, access controls, and backup strategies for private AI deployments.
PlannedRAG explained without the hype
Retrieval-augmented generation in plain English. How it works, what it's good for, and where it falls short.
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