EN

Series✓ Complete

Nutanix Enterprise AI on NKP

Nutanix Enterprise AI enabled and licensed in a lab with NKP 2.19 and a Nutanix HCI cluster with no GPU, in four parts: architecture and licensing, RWX storage with Nutanix Files, installation up to the first token, and the hybrid architecture with CPU, GPU and MCP.

Tested onNKP 2.19Nutanix Enterprise AI 2.8.1Envoy AI GatewayLiteLLMVelero 1.18NDK 2.3.0

4 parts · 65 min of reading in total

  1. 1Part 1: architecture, licensing and sizingRead ✓ · 11 min ·
  2. 2Part 2: Nutanix Files for KubernetesRead ✓ · 19 min ·
  3. 3Part 3: from the catalog to the first tokenRead ✓ · 18 min ·
  4. 4Part 4: CPU, GPU and MCP in a hybrid architectureRead ✓ · 17 min ·

Start with Part 1 →View the series

1234

Series✓ Complete

Observability on NKP

Observability on Nutanix Kubernetes Platform, tested in the AI lab in three parts: the concepts and what NKP ships, NKP Insights and the OpenTelemetry Operator, with the results and best practices along the way.

Tested onNKP 2.19OpenTelemetry Operator 0.114.1Jaeger 2.57.4Istio 1.25.0

3 parts · 32 min of reading in total

  1. 1Part 1: the conceptsRead ✓ · 12 min ·
  2. 2Part 2: NKP InsightsRead ✓ · 9 min ·
  3. 3Part 3: OpenTelemetry OperatorRead ✓ · 11 min ·

Start with Part 1 →View the series

1233 parts · 32 minView the series →

Series✓ Complete

Upgrading NKP 2.18 → 2.19 in practice

The Nutanix Kubernetes Platform upgrade in the AI lab, in three parts and in project order: the preparation, the upgrade window and post-upgrade, with the commands, the timings and the best practices from each phase.

Tested onNKP 2.18 → 2.19Kubernetes 1.35 → 1.36Rocky Linux 9.7 → 9.8

3 parts · 42 min of reading in total

  1. 1Part 1: the preparationRead ✓ · 14 min ·
  2. 2Part 2: the upgradeRead ✓ · 13 min ·
  3. 3Part 3: post-upgradeRead ✓ · 15 min ·

Start with Part 1 →View the series

1233 parts · 42 minView the series →