arthur

Compliance · CMMC, Private AI, Governance · ~6 min read [Read more...]

From the Desk of Cale · Private AI · ~4 [Read more...]

Heavy AI users are shipping work they don't fully understand. The fix isn't banning AI, it's governing it: an accountable owner, sanctioned tools, and training.

At Google Cloud Next 2026 in Las Vegas this week, Google made a quiet but significant announcement: Gemini can now run on a single air-gapped server, fully disconnected from the internet — and from Google itself.

We ran Gemma 4 26B and Qwen 3.6 35B-A3B head-to-head on the same server, same quantization, same protocol. Gemma 4 is 3.7× faster at 32k context — and 7.2× faster at 128k. The gap widens with context, and the reason reveals something important about model selection for long-context workloads.

We put Qwen 3.6 35B-A3B on a developer laptop and a dual-GPU server. The speed gap grows from 2.4× to 5.3× as context grows — and the real bottleneck turns out not to be compute.