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Updates and new articles.
Updates from NexOps and the newest articles from our engineers, newest first.
01 / Latest
The latest from NexOps
Company updates are written by hand and only state what is already on this site. Articles come from the blog.
- Read more: The NexOps Academy is live
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The NexOps Academy is live
Learning paths for engineers, students and leaders. We pick the best existing courses from Databricks, Hugging Face and others, and add hands-on projects and checklists.
- Read more: Workshops for companies and students
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Workshops for companies and students
Hands-on AI engineering workshops for company teams and for students, on-site or online.
- Read more: Six free quick checks
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Six free quick checks
Short self-assessments on AI readiness, data platforms, sovereign AI, AI harnesses, Databricks and voice agents, each with a score and a next step.
- Read more: Document AI test with three sample documents
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Document AI test with three sample documents
Send us three sample documents and we show what our AI extracts from them, before you commit to a pilot.
- Read more: Databricks AI Runtime GA: Gate the GPU Migration
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Databricks AI Runtime GA: Gate the GPU Migration
Plan an AI Runtime pilot with reproducible training, workload-level cost checks, evaluation gates and verified Azure availability before production.
- Read more: Databricks Agent Memory: Starting with a Governed Beta Pilot
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Databricks Agent Memory: Starting with a Governed Beta Pilot
Plan a governed Databricks Agent Memory pilot with retention rules, repeat-session evaluation, user-isolation tests and clear deployment promotion gates.
- Read more: Databricks Private Network Gateway: Egress, Not Workspace Access
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Databricks Private Network Gateway: Egress, Not Workspace Access
Plan Azure Databricks Private Network Gateway adoption with flow maps, DNS and routing tests, clear network ownership, and staged rollback gates.
- Read more: Model Routing Is a Quality-Control Problem, Not a Cost Switch
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Model Routing Is a Quality-Control Problem, Not a Cost Switch
Build trace-driven model routing with task-level benchmarks, quality gates and cost-per-success measures, without assuming Azure or Databricks integration.
- Read more: Inference on Azure Databricks: What Drives Cost and Latency
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Inference on Azure Databricks: What Drives Cost and Latency
Understand inference cost and latency, measure tokens and capacity, and choose batch, pay-per-token, provisioned or self-hosted serving on Azure Databricks.
- Read more: YOLO on Databricks: From Kaggle Notebook to Governed Training
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YOLO on Databricks: From Kaggle Notebook to Governed Training
Move a YOLO experiment from Kaggle to governed Databricks training with versioned image data, MLflow tracking, GPU checks and controlled model deployment.
- Read more: Databricks Apps OBO: Stop Sharing One Powerful Identity
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Databricks Apps OBO: Stop Sharing One Powerful Identity
Design Databricks Apps OBO with separate app and user identities, narrow API scopes, secure token handling and negative tests for governed data access.
- Read more: Databricks Data Contracts: Enforce Before You Publish
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Databricks Data Contracts: Enforce Before You Publish
Build a Databricks data contract gate with explicit schemas, Delta constraints and DTAP tests, and decide what must pass before a dataset is published.
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