My reliable, low-friction self-hosted AI productivity setup.

After hacking Trivy, TeamPCP moved to compromise repositories across NPM, Docker Hub, VS Code, and PyPI, stealing over 300GB ...

The primary condition for use is the technical readiness of an organization’s hardware and sandbox environment.

Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...

A practical offline AI setup for daily work.

NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...

It's no secret that Apple has set the standard for efficiency, battery life, and thermal management in a compact form factor with the MacBook Pro M5. While the latest M5 base chip has the same 10 core ...

The dark satanic rumour mill has manufactured a hell-on-earth yarn claiming that Nvidia is cooking up something nastier than an RTX 5090. According to Overclocking during recent visits and private ...

While Apple Silicon Macs natively only support macOS, that hasn't stopped enthusiasts from finding a way to install Linux on M3-based machines, with big caveats. The Asahi Linux project has the goal ...

Brick buildings of homes and small businesses line the wide streets that lead to the shores of Lake Michigan and a historic lighthouse. The city celebrates the community's nautical heritage year round ...

SoftBank has launched Infrinia AI Cloud OS, a software stack for operating AI data centers that automates infrastructure management and provides inference services for large language models. The ...