Whole GPU, Passthrough, vGPU, MIG, or Time Slicing? The Enterprise GPU Allocation Decision Matrix
Introduction Enterprise GPU design becomes confused when several different decisions are compressed into one question: “How should we share the GPU?”
Introduction Enterprise GPU design becomes confused when several different decisions are compressed into one question: “How should we share the GPU?”
I was working with a wide spreadsheet from a client the other day and I had to convert between Excel column labels and column numbers. I had never pai
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VCF 9.1 creates a familiar operational trap: a platform team can complete a release-note review and still not be ready to upgrade. The reason is that
Introduction The phrase “import an existing vCenter” sounds safer than it really is. It suggests that VMware Cloud Foundation reads an inventory, regi
TL;DR An agent action is not complete when the MCP server returns a successful response. It is complete only when the runtime proves that the intended
TL;DR An expected workload count is not a GPU requirement. Thirty concurrent notebooks, RAG services, inference endpoints, fine-tuning jobs, or distri
TL;DR A multivendor private AI platform is not operationally complete when the hardware is installed, the GPUs are visible, and the first model endpoi
TL;DR Sensitive data protection for AI is not a prompt-writing problem. It is a data-path control problem. The safest operating model classifies data
A risk model is only useful if it changes what happens before the agent acts. The Agent Blast Radius Model gives teams a way to classify AI agent acti
Table of Contents How to Evaluate a Family Instead of a Model OpenAI Anthropic Google Meta xAI The Chinese Open-Weight Labs Europe, and the Enterprise
Table of Contents Where the Specification Actually Stands Snowflake: Managed Storage, Open Catalog, Both at Once Databricks: Interoperability as a Com
Table of Contents Why the Gap Exists in the First Place What the New Architecture Actually Asks For Databricks: Put the Transactional Store Inside the
Table of Contents Four Assumptions Agents Break Where the Money Actually Goes Control One: Give Every Agent an Identity Control Two: Budgets and Limit
Table of Contents “Real-Time” Is Not a Specification Build the Budget Before the Pipeline Make Freshness Queryable Measuring Rather Than Estimating Th
Table of Contents What Actually Changed The Single-Node Engine Field Standing Up the Local Stack Writing and Reading, With Governance Intact The Spark
Table of Contents Three Properties People Treat as One What the Rules Actually Say in 2026 Minimum Sufficient Sovereignty Open Formats Are the Soverei
Table of Contents The Layer Cake and Its Interfaces Case One: Variant, and Why It Had to Live in Parquet Case Two: Geospatial, and the Statistics Prob
Table of Contents Why Language Models Fail at Tables What Gradient Boosting Got Right, and What It Costs The Mechanism: Prediction as In-Context Learn