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Deploying a 1-Bit Bonsai-27B Model with PrismML llama.cpp and OpenAI-Compatible Local Inference Workflows

In this tutorial, we deploy the 1-bit Bonsai-27B language model using the PrismML fork of llama.cpp, which provides the specialized CUDA kernels required to decode the model’s Q1_0_g128 GGUF quantization format. We begin by validating the GPU runtime, installing the required Python dependencies, compiling the CUDA-enabled inference binaries, and downloading the compressed model weights from

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Nutanix Enterprise AI: Private AI When Governance Matters as Much as Placement

Private AI does not always fail because the model is wrong. It often fails because the organization never defines the control point. The first team deploys a model. Another team connects an agent. A developer experiments with a hosted LLM. A business unit wants internal document search. Security asks which data sources the agent can

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Recovery During Platform Transformation: Protecting Mixed Versions, Mixed Hypervisors, and In-Flight Migrations

Introduction Platform transformation is usually planned as a sequence of discoveries, upgrades, replication jobs, test migrations, cutovers, and decommissioning activities. Recovery is often treated as a separate operational concern that will somehow continue working while those activities occur. That assumption is dangerous. During a VMware upgrade, hypervisor migration, or multiyear platform replacement, the environment contains

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