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GTC 2026 announcement digest

Track and categorize NVIDIA GTC 2026 announcements, separating confirmed releases from keynote positioning.

Overview​

The GTC 2026 Digest collects NVIDIA and GTC-related news from RSS feeds and search queries, then sorts each announcement into:

  • Hardware: GPUs, DGX systems, networking (Blackwell, Rubin, H-series, B-series)
  • Software: CUDA, NIM, NeMo, TensorRT, frameworks and SDKs
  • Partnerships: enterprise deals, cloud partnerships (AWS, Azure, Oracle)
  • Robotics: Isaac, Jetson, Omniverse, physical AI, humanoids

The June 2026 production-inference research makes the software and infrastructure categories especially important. The digest treats announcements about NIM, TensorRT, Triton, inference engines, KV-cache management, edge AI, and AI factories as operating-layer signals, not vendor news. It must preserve source provenance and distinguish confirmed product releases from keynote positioning.

Quick start​

python3 ~/clawd/skills/gtc-digest/scripts/digest.py

Output​

The digest saves to ~/clawd/memory/gtc-2026-digest.json:

{
  "last_run": "2026-03-16T00:00:00Z",
  "event": "GTC 2026",
  "categories": {
    "hardware": [...],
    "software": [...],
    "partnerships": [...],
    "robotics": [...]
  },
  "summary": {
    "total": 87,
    "by_category": {
      "hardware": 24,
      "software": 31,
      "partnerships": 18,
      "robotics": 14
    }
  }
}

Sources​

SourceType
Google NewsSearch queries (8 terms)
TechCrunchDirect RSS feed
The VergeDirect RSS feed
Ars TechnicaDirect RSS feed

Category keywords​

Hardware​

Blackwell, Rubin, H100, H200, B100, B200, DGX, NVLink, InfiniBand, GPU, accelerator

Software​

CUDA, NIM, NeMo, TensorRT, Triton, RAPIDS, SDK, framework, inference, training

Partnerships​

Microsoft, Google, AWS, Azure, Oracle, SAP, enterprise, deployment, integration

Robotics​

Isaac, Jetson, Omniverse, digital twin, humanoid, locomotion, physical AI, simulation

Schedule​

# Hourly during GTC week
0 * * * * python3 ~/clawd/skills/gtc-digest/scripts/digest.py

# Daily otherwise
0 8 * * * python3 ~/clawd/skills/gtc-digest/scripts/digest.py

Research alignment​

NVIDIA's GTC announcements matter to a Claude-first practitioner mainly as infrastructure context rather than a competing model choice: DGX/inference-platform hardware news is relevant when sizing a self-hosted Claude Code runner or Bedrock/Vertex deployment, and the model choice is separate from which silicon serves it.

Files​

skills/gtc-digest/
├── SKILL.md
└── scripts/
    └── digest.py