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My August 2026: KubeCon Japan, Red Hat Summit & More

August 2026 roundup: KubeCon Japan, Red Hat Summit, Hiroshima, Amsterdam meetups, and the AI platform trends I'm watching.

LB
Luca Berton
· 3 min read

This is the first newsletter-style roundup since July, so it covers a packed few weeks — from KubeCon Japan in Yokohama to Red Hat Summit in Atlanta, a personal trip to the Hiroshima Peace Memorial Ceremony, and two Amsterdam meetups. Here is what I have been building, speaking about, and writing, plus the trends I am watching in AI platform engineering.

Latest initiatives & events I attended

KubeCon + CloudNativeCon Japan 2026 — Yokohama. The Japanese cloud-native community is running real AI and Kubernetes in production at a scale worth learning from. Two takeaways stood out:

  • Photonic networks could reshape the AI data center by moving data optically — Fujitsu is leading this work in Japan.
  • Tuning Kubernetes for AI is the real story: it is not “more GPUs,” it is LLM caching and routing and the true GPU, memory, and electricity cost.

Red Hat Summit 2026 — Atlanta. I delivered a lightning talk, “GPUs take flight: Safety-first multi-tenant Platform Engineering with NVIDIA and Red Hat OpenShift AI,” covering isolation patterns, platform engineering, and production-tested guardrails for sharing expensive GPUs safely. A short booth pass even turned into a Docker Captain announcement moment.

Hiroshima Peace Memorial Ceremony 2026 — 6 August. I attended in person. The minute of silence, 120 nations, and two hibakusha testimonies were a powerful reminder of why we build the things we build.

AI Builders Amsterdam — 19 August (StartDock) and BrowserStack Meetup Amsterdam — 20 August. Two hands-on meetups: validating side projects, writing docs for agents, running local LLM agents, and how Claude plus Playwright are reshaping QA.

Coming up: EDGECASE 2026 — 24 September, Hilversum. The Netherlands’ biggest Kubernetes event (400+ cloud-native engineers, hosted by Bart Farrell). I will be there — save the date.

  • GPU multi-tenancy is finally real. Fractional GPU allocation (the NVIDIA DRA driver), GPU-aware scheduling (KAI Scheduler), and llm-d for splitting inference into prefill and decode are landing in the CNCF. Sharing GPUs safely is the number-one cost lever for 2026.
  • Agentic AI is getting an identity layer. kagent (agents as Kubernetes CRDs) and kagenti (cryptographic SPIFFE/SPIRE identities for agents) turn agents from “rogue processes in a notebook” into governed, observable, RBAC-controlled resources.
  • Local and edge agentic models are shipping. Meta’s open-source Muse Glimmer (30B) runs under 20 GB on a consumer GPU via 4-bit quantization — private, offline agentic AI is no longer a lab curiosity.
  • Sovereign and compliant AI is now a platform requirement, not a nice-to-have. Data residency and audit-readiness are spreading globally.

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Work with me

Building an AI platform that needs to pass the audit? I help DevOps, cloud, and platform engineers take AI from demo to production — with governance, cost control, and GPU orchestration built in from day one.

See you at EDGECASE 2026 in September — and thanks for reading.

#newsletter #KubeCon #Red Hat Summit #AI platform engineering #conferences #Amsterdam #August 2026
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Luca Berton — AI & Cloud Advisor, Docker Captain

Luca Berton

AI & Cloud Advisor · Docker Captain · KubeCon Speaker

15+ years in enterprise infrastructure. Author of 8 technical books, creator of Ansible Pilot (1M+ YouTube views, 648K site users). Former Red Hat engineer. Speaker at KubeCon EU 2026 and Red Hat Summit 2026.

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