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Docs: Add NVIDIA GTC 2026 blog skeletons and OpenSpec documentation #87

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32 changes: 32 additions & 0 deletions blog-applied-ai-engineering/2026-03-22-nvidia-gtc-2026-intro.md
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---
slug: nvidia-gtc-2026-intro
title: "NVIDIA GTC 2026: The AI Factory Era"
authors: [njl]
tags: [nvidia, gtc, ai, robotics, blackwell, edge-ai]
description: A high-level recap of our week at NVIDIA GTC 2026 in San Jose, where we spoke to nearly 400 companies about the future of the AI Factory.
---

# NVIDIA GTC 2026: The AI Factory Era 󰻠

What a whirlwind! After four days in San Jose and nearly 400 conversations with exhibitors, from the "Big 8" Elite sponsors to the smallest robotics startups, one thing is clear: we have moved past the "Proof of Concept" phase. AI is now an industrial process—an AI Factory.

In this series, we'll break down everything we learned, sector by sector.

<!-- truncate -->

## The Series Roadmap

1. **The New Sovereign Clouds:** Beyond the hyperscalers—how specialized clouds are winning.
2. **Physical AI & Robotics:** The Isaac platform, ABB, and the rise of humanoid workers.
3. **The Cooling Crisis:** Liquid cooling is no longer optional.
4. **Blackwell & The GPU Mesh:** The silicon and networking making the GB200 possible.
5. **Agentic SDKs & NIMs:** The software layer that makes deployment trivial.
6. **Enterprise AI:** How consulting firms are operationalizing AI at scale.
7. **Edge AI & Industrial Computing:** Taking AI out of the data center.
8. **AI-RAN & Telco:** Why your 6G network will be AI-native.
9. **Security & Observability:** Protecting the AI stack.
10. **Vertical AI:** Healthcare, Automotive, and the specialized models of tomorrow.

Stay tuned as we dive deep into each of these topics over the coming days.

<!-- TODO: GTC Data - General Recap Notes from gtc2026_report.html -->
22 changes: 22 additions & 0 deletions blog-applied-ai-engineering/2026-03-23-nvidia-gtc-2026-sovereign-clouds.md
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---
slug: nvidia-gtc-2026-sovereign-clouds
title: "NVIDIA GTC 2026: The New Sovereign Clouds"
authors: [njl]
tags: [nvidia, gtc, cloud, nebius, coreweave, together-ai]
description: A look at how specialized AI clouds are challenging the hyperscalers at GTC 2026.
---

# The New Sovereign Clouds 󰻠

Hyperscalers still dominate the conversation, but at GTC 2026, the real momentum was with the specialized AI clouds.

<!-- truncate -->

## Key Players
- **CoreWeave:** High-performance infrastructure at scale.
- **Nebius:** The European AI factory contender.
- **Together AI:** GPU orchestration and inference.
- **Lambda:** The developer-first cloud.

<!-- TODO: GTC Data - Companies: coreweave, nebius, together-ai, lambda-labs -->
<!-- TODO: GTC Data - GTC Sponsors Elite/Diamond sections -->
25 changes: 25 additions & 0 deletions blog-applied-ai-engineering/2026-03-24-nvidia-gtc-2026-robotics.md
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---
slug: nvidia-gtc-2026-robotics
title: "NVIDIA GTC 2026: Physical AI & Robotics"
authors: [njl]
tags: [nvidia, gtc, robotics, isaac, humanoid]
description: Exploring the physical side of AI—robotics, humanoid workers, and the Isaac platform at GTC 2026.
---

# Physical AI & Robotics 󰻠

From humanoid workers to industrial manipulators, GTC 2026 showed that AI is finally getting a body.

<!-- truncate -->

## Isaac Platform Updates
- **Isaac Sim:** Photorealistic simulation for robot training.
- **Isaac Lab:** Research-focused toolkits.

## Key Conversations
- **Agile-Robots:** Advanced dexterity and sensing.
- **ABB:** Scaling industrial robotics.
- **Agility Robotics:** Digit and the future of human-centric automation.

<!-- TODO: GTC Data - Companies: agile-robots-se, abb, agility-robotics -->
<!-- TODO: GTC Data - Project GR00T details -->
22 changes: 22 additions & 0 deletions blog-applied-ai-engineering/2026-03-25-nvidia-gtc-2026-cooling-infra.md
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---
slug: nvidia-gtc-2026-cooling-infra
title: "NVIDIA GTC 2026: The Cooling Crisis"
authors: [njl]
tags: [nvidia, gtc, infrastructure, liquid-cooling, vertiv]
description: Liquid cooling is no longer a luxury—it's a requirement for the next generation of AI hardware.
---

# The Cooling Crisis 󰻠

The power density of Blackwell racks has pushed traditional air cooling to its limits. At GTC 2026, liquid cooling was everywhere.

<!-- truncate -->

## The Plumbers of AI
- **Vertiv:** Power and cooling systems for the AI factory.
- **Schneider Electric:** Modular data centers and efficiency.
- **CoolIT Systems:** High-density liquid cooling.
- **Accelsius:** Two-phase cooling innovations.

<!-- TODO: GTC Data - Companies: vertiv, schneider-electric, coolit-systems, accelsius -->
<!-- TODO: GTC Data - 600kVA Rack requirements -->
24 changes: 24 additions & 0 deletions blog-applied-ai-engineering/2026-03-26-nvidia-gtc-2026-blackwell-mesh.md
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---
slug: nvidia-gtc-2026-blackwell-mesh
title: "NVIDIA GTC 2026: Blackwell & The GPU Mesh"
authors: [njl]
tags: [nvidia, gtc, blackwell, nvlink, rdma]
description: A deep dive into the hardware architecture—NVLink switches, GB200, and the GPU mesh—that dominated GTC 2026.
---

# Blackwell & The GPU Mesh 󰻠

The hardware that makes the 2026 AI Factory possible: Blackwell and the interconnected mesh.

<!-- truncate -->

## The Silicon
- **GB200 NVL72:** High-performance rack-scale computing.
- **NVLink Switch:** Decoupling compute and memory at scale.

## Networking Fabric
- **RDMA & InfiniBand:** Scaling the GPU Mesh across the data center.
- **Spectrum-X:** AI-optimized Ethernet for the masses.

<!-- TODO: GTC Data - Blackwell Architecture whitepaper notes -->
<!-- TODO: GTC Data - NVLink Switch System specs -->
24 changes: 24 additions & 0 deletions blog-applied-ai-engineering/2026-03-27-nvidia-gtc-2026-software-nims.md
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---
slug: nvidia-gtc-2026-software-nims
title: "NVIDIA GTC 2026: Agentic SDKs & NIMs"
authors: [njl]
tags: [nvidia, gtc, software, nim, agentic-ai]
description: The software layer—NVIDIA Inference Microservices (NIMs) and agentic frameworks—that makes AI deployment trivial.
---

# Agentic SDKs & NIMs 󰻠

Hardware is the engine, but the software layer—NIMs and Cuda-X—is the dashboard that makes it usable.

<!-- truncate -->

## NVIDIA NIM (Inference Microservices)
- Deploying optimized models in minutes.
- Scaling from local PC to Cloud with zero code changes.

## Agentic AI
- **Cuda-X & NeMo:** Building agentic workflows.
- Federated learning and private retraining.

<!-- TODO: GTC Data - NIM documentation links -->
<!-- TODO: GTC Data - Agentic AI session notes -->
22 changes: 22 additions & 0 deletions blog-applied-ai-engineering/2026-03-28-nvidia-gtc-2026-enterprise-ai.md
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---
slug: nvidia-gtc-2026-enterprise-ai
title: "NVIDIA GTC 2026: Enterprise AI: POC to Production"
authors: [njl]
tags: [nvidia, gtc, enterprise-ai, accenture, deloitte, tcs]
description: How consulting firms are bridging the gap between AI hype and industrial-scale production.
---

# Enterprise AI: POC to Production 󰻠

GTC 2026 showed that the F500 is finally moving beyond the POC. The big consulting firms are the bridge.

<!-- truncate -->

## Scaling Strategies
- **Accenture:** AI refineries and custom LLMs.
- **Deloitte:** Trustworthy AI and secure deployment.
- **IBM:** Hybrid cloud AI for regulated industries.
- **TCS:** AI-native services for the global enterprise.

<!-- TODO: GTC Data - Companies: accenture, deloitte, ibm, tcs -->
<!-- TODO: GTC Data - Enterprise AI Maturity models discussed -->
26 changes: 26 additions & 0 deletions blog-applied-ai-engineering/2026-03-29-nvidia-gtc-2026-edge-industrial.md
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---
slug: nvidia-gtc-2026-edge-industrial
title: "NVIDIA GTC 2026: Edge AI & Industrial Computing"
authors: [njl]
tags: [nvidia, gtc, edge-ai, industrial-computing, jetson]
description: Taking AI out of the data center and into the field—the edge AI hardware and software seen at GTC 2026.
---

# Edge AI & Industrial Computing 󰻠

AI is moving to the edge—ruggedized, fanless, and ready for the field.

<!-- truncate -->

## The Rugged Edge
- **Advantech:** AI computing at the edge.
- **Aaeon:** Embedded AI solutions.
- **Adlink:** Autonomous robotics and rugged platforms.
- **Aetina:** Edge AI acceleration modules.

## Jetson Platform
- The evolution of Jetson for industrial automation.
- Zero-touch deployment for edge clusters.

<!-- TODO: GTC Data - Companies: advantech, aaeon, adlink-technology-inc, aetina-corporation -->
<!-- TODO: GTC Data - Jetson Orin/Thor session notes -->
21 changes: 21 additions & 0 deletions blog-applied-ai-engineering/2026-03-30-nvidia-gtc-2026-telco-ran.md
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---
slug: nvidia-gtc-2026-telco-ran
title: "NVIDIA GTC 2026: AI-RAN & Telco"
authors: [njl]
tags: [nvidia, gtc, telco, ai-ran, 6g]
description: The integration of AI into cellular networks—AI-RAN and the path to AI-native 6G seen at GTC 2026.
---

# AI-RAN & Telco 󰻠

AI is no longer just *on* the network; it *is* the network.

<!-- truncate -->

## The AI-RAN Alliance
- **Ericsson & Nokia:** Reimagining the base station as an AI node.
- Real-time beamforming and network optimization.
- Multi-tenancy: Running AI and RAN on the same hardware.

<!-- TODO: GTC Data - AI-RAN Alliance members and session notes -->
<!-- TODO: GTC Data - NVIDIA Aerial platform updates -->
25 changes: 25 additions & 0 deletions blog-applied-ai-engineering/2026-03-31-nvidia-gtc-2026-security-observability.md
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---
slug: nvidia-gtc-2026-security-observability
title: "NVIDIA GTC 2026: Security & Observability"
authors: [njl]
tags: [nvidia, gtc, security, observability, crowdstrike]
description: Protecting the AI stack—how security and observability are evolving for the AI factory.
---

# Security & Observability 󰻠

As AI becomes industrial, its security and observability become critical infrastructure.

<!-- truncate -->

## AI Security
- **CrowdStrike:** Protecting AI models and inference pipelines.
- **Akamai:** Securing the edge and content delivery for AI.
- **Palo Alto Networks:** AI-native security architectures.

## Observability
- Monitoring GPU health, RDMA performance, and inference latency.
- Model observability: Detecting drift and bias at scale.

<!-- TODO: GTC Data - Companies: crowdstrike, akamai, palo-alto-networks -->
<!-- TODO: GTC Data - AI Security frameworks discussed at GTC -->
28 changes: 28 additions & 0 deletions blog-applied-ai-engineering/2026-04-01-nvidia-gtc-2026-vertical-ai.md
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---
slug: nvidia-gtc-2026-vertical-ai
title: "NVIDIA GTC 2026: Vertical AI: Healthcare, Auto & Finance"
authors: [njl]
tags: [nvidia, gtc, healthcare, automotive, finance]
description: Exploring the specialized models and platforms for vertical industries at GTC 2026.
---

# Vertical AI 󰻠

The most exciting applications are often the most specialized.

<!-- truncate -->

## Healthcare
- **Abridge:** Generative AI for medical documentation.
- Drug discovery and medical imaging acceleration.

## Automotive
- Autonomous driving and in-vehicle AI.
- Simulation for safety-critical systems.

## Finance
- Real-time fraud detection and risk modeling.
- AI-driven trading and personal finance.

<!-- TODO: GTC Data - Companies: abridge, aigen-inc, etc. -->
<!-- TODO: GTC Data - Clara and DRIVE platform session notes -->
2 changes: 2 additions & 0 deletions openspec/changes/nvdia-gtc-series/.openspec.yaml
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schema: spec-driven
created: 2026-03-28
28 changes: 28 additions & 0 deletions openspec/changes/nvdia-gtc-series/design.md
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## Context

Establishing a skeleton for a multi-part blog series about NVIDIA GTC 2026. The series will be hosted in `blog-applied-ai-engineering/` and will reference data from an external directory (`~/dev/src/mkai/gtc2026/`).

## Goals / Non-Goals

**Goals:**
- Create a consistent structure for the GTC 2026 series.
- Provide clear placeholders for company-specific insights.
- Ensure all posts have correct Docusaurus/Markdown metadata.

**Non-Goals:**
- Writing the full content of all posts (this is for the user).
- Automating the extraction of data from the external directory (we will manually reference it).

## Decisions

- **File Naming:** Use `YYYY-MM-DD-nvidia-gtc-2026-<topic>.md` format to maintain chronological order and clarity.
- **Intro Post:** The first post will serve as a high-level recap and "table of contents" for the series.
- **Thematic Posts:** Subsequent posts will be grouped by theme (e.g., Robotics, Blackwell, Software/SDKs) based on the companies visited.
- **Placeholders:** Use a specific comment format `<!-- TODO: GTC Data - <Company/Topic> -->` to flag where info from the external directory is needed.

## Risks / Trade-offs

- **Risk:** The series structure might need to change as content is written.
- **Mitigation:** Keep the skeletons lightweight and easy to rename/reorganize.
- **Risk:** Access to `mkai/gtc2026` is manual.
- **Mitigation:** Clearly flag which company files need to be checked for each section.
33 changes: 33 additions & 0 deletions openspec/changes/nvdia-gtc-series/proposal.md
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## Why

After attending NVIDIA GTC 2026, we have a wealth of information from nearly 400 companies and sessions that need to be synthesized into a blog series. This change establishes the skeleton for these posts in `blog-applied-ai-engineering/` to ensure a consistent structure and early visibility of the upcoming content.

## What Changes

- Create an introductory blog post: `2026-03-22-nvidia-gtc-2026-intro.md`.
- Create skeleton files for 10 subsequent posts focusing on key themes:
- Sovereign Clouds
- Robotics
- Cooling & Infrastructure
- Blackwell & Networking
- Software SDKs (NIMs)
- Enterprise Consulting
- Edge/Industrial Computing
- AI-RAN & Telco
- Security & Observability
- Vertical AI (Healthcare, etc.)
- Add metadata and YAML frontmatter consistent with previous GTC posts.
- Flag sections for specific company data from the external `mkai/gtc2026` directory.

## Capabilities

### New Capabilities
- `gtc-2026-blog-series`: A series of blog posts covering insights from NVIDIA GTC 2026.

### Modified Capabilities
- None.

## Impact

- `blog-applied-ai-engineering/`: New markdown files will be added.
- `src/generated/latest-post.json`: Will be updated upon build if the intro post is the latest.
22 changes: 22 additions & 0 deletions openspec/changes/nvdia-gtc-series/specs/gtc-2026-blog-series/spec.md
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## ADDED Requirements

### Requirement: Introductory Blog Post
The system SHALL have an introductory blog post for the NVIDIA GTC 2026 series.

#### Scenario: Intro post existence
- **WHEN** the file `blog-applied-ai-engineering/2026-03-22-nvidia-gtc-2026-intro.md` is created
- **THEN** it MUST contain frontmatter with `slug: nvidia-gtc-2026-intro`, `title: NVIDIA GTC 2026: The AI Factory Era`, and `tags: [nvidia, gtc, ai, robotics]`.

### Requirement: Thematic Post Skeletons
The system SHALL have at least 10 thematic post skeletons for the series.

#### Scenario: Thematic post structure
- **WHEN** a thematic post file is created (e.g., `2026-03-23-nvidia-gtc-2026-robotics.md`)
- **THEN** it MUST contain placeholders for company data referencing the `mkai/gtc2026` directory.

### Requirement: Metadata Consistency
All posts in the series SHALL follow the existing metadata standards of the `blog-applied-ai-engineering` directory.

#### Scenario: Metadata check
- **WHEN** a new post is added to the series
- **THEN** it MUST include `authors`, `tags`, and `description` in its frontmatter.
24 changes: 24 additions & 0 deletions openspec/changes/nvdia-gtc-series/tasks.md
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## 1. Intro Post Creation
Copy link
Copy Markdown

@cubic-dev-ai cubic-dev-ai bot Mar 29, 2026 •
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P3: The change directory name appears misspelled (nvdia vs nvidia), which can make this spec harder to find and maintain.

Prompt for AI agents 
Check if this issue is valid — if so, understand the root cause and fix it. At openspec/changes/nvdia-gtc-series/tasks.md, line 1:

<comment>The change directory name appears misspelled (`nvdia` vs `nvidia`), which can make this spec harder to find and maintain.</comment>

<file context>
@@ -0,0 +1,24 @@
+## 1. Intro Post Creation
+
+- [x] 1.1 Create `blog-applied-ai-engineering/2026-03-22-nvidia-gtc-2026-intro.md`
</file context>
Fix with Cubic


- [x] 1.1 Create `blog-applied-ai-engineering/2026-03-22-nvidia-gtc-2026-intro.md`
- [x] 1.2 Add intro frontmatter (slug, title, authors, tags, description)
- [x] 1.3 Add intro skeleton content with thematic sections

## 2. Thematic Post Skeletons

- [x] 2.1 Create `blog-applied-ai-engineering/2026-03-23-nvidia-gtc-2026-sovereign-clouds.md`
- [x] 2.2 Create `blog-applied-ai-engineering/2026-03-24-nvidia-gtc-2026-robotics.md`
- [x] 2.3 Create `blog-applied-ai-engineering/2026-03-25-nvidia-gtc-2026-cooling-infra.md`
- [x] 2.4 Create `blog-applied-ai-engineering/2026-03-26-nvidia-gtc-2026-blackwell-mesh.md`
- [x] 2.5 Create `blog-applied-ai-engineering/2026-03-27-nvidia-gtc-2026-software-nims.md`
- [x] 2.6 Create `blog-applied-ai-engineering/2026-03-28-nvidia-gtc-2026-enterprise-ai.md`
- [x] 2.7 Create `blog-applied-ai-engineering/2026-03-29-nvidia-gtc-2026-edge-industrial.md`
- [x] 2.8 Create `blog-applied-ai-engineering/2026-03-30-nvidia-gtc-2026-telco-ran.md`
- [x] 2.9 Create `blog-applied-ai-engineering/2026-03-31-nvidia-gtc-2026-security-observability.md`
- [x] 2.10 Create `blog-applied-ai-engineering/2026-04-01-nvidia-gtc-2026-vertical-ai.md`

## 3. Metadata & Final Polish

- [x] 3.1 Ensure all files have consistent YAML frontmatter
- [x] 3.2 Add `<!-- truncate -->` markers for correct Docusaurus list rendering
- [x] 3.3 Verify all placeholders reference the `mkai/gtc2026` directory correctly
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