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What should you expect from NVIDIA GTC 2026?
In this pre-show episode of The Private AI Lab, Johan talks with Dirk Glücker, AI platform engineer and Kubernetes specialist, about the sessions, technologies, and trends worth watching at this year’s conference.
They discuss:
The unique culture of GTC compared to other tech conferences
Key sessions around MLOps, distributed inference, and AI infrastructure
What we might see in Jensen Huang’s keynote
The evolution of AI factories and large GPU clusters
Why networking and meet-the-expert sessions are invaluable
Practical advice for navigating GTC (or watching remotely)
If you’re building AI platforms, running GPU infrastructure, or following the latest developments in accelerated computing, this episode is a great primer before the event.
Links mentioned:
AI Fail video from Dirk:
https://www.youtube.com/watch?v=CWGefSIVIKM
All hybrid sessions in the content catalog:
https://register.nvidia.com/flow/nvidia/gtc26/ap/page/catalog?tab.catalogallsessionstab=16566177511100015Kus&search.viewingexperience=1700085746191002Cnn0
Register for NVIDIA GTC today using the following link:
https://nvda.ws/4qXGFjm
Chapters:
00:00 – Welcome to the GTC pre-show
00:40 – Meet Dirk Glücker
01:20 – AI fail of the week: robot meets mirror
04:10 – Physical AI and robotics challenges
05:20 – What GTC is like for first-time attendees
07:50 – Highlights from last year’s conference
08:10 – DGX Spark and AI factories
09:10 – Why meeting experts at GTC matters
12:20 – How to plan your GTC schedule
13:00 – MLOps sessions worth attending
14:30 – AI coding agents and development automation
16:10 – Distributed inference at scale
17:00 – Inside NVIDIA’s inference ecosystem
18:00 – AI infrastructure and platform engineering
19:30 – Multi-tenant GPU clusters
21:00 – Pixar rendering pipelines and GPUs
22:00 – Formula One and AI performance
23:00 – Watching GTC remotely
24:00 – Open source inference and sovereign AI
26:30 – Overlapping sessions and planning strategy
27:10 – Predictions for Jensen Huang’s keynote
31:00 – AI factory networking infrastructure
33:00 – Exploring the GTC expo floor
37:00 – Tips for first-time attendees
44:00 – Final thoughts before GTC
By Johan van AmersfoortWhat should you expect from NVIDIA GTC 2026?
In this pre-show episode of The Private AI Lab, Johan talks with Dirk Glücker, AI platform engineer and Kubernetes specialist, about the sessions, technologies, and trends worth watching at this year’s conference.
They discuss:
The unique culture of GTC compared to other tech conferences
Key sessions around MLOps, distributed inference, and AI infrastructure
What we might see in Jensen Huang’s keynote
The evolution of AI factories and large GPU clusters
Why networking and meet-the-expert sessions are invaluable
Practical advice for navigating GTC (or watching remotely)
If you’re building AI platforms, running GPU infrastructure, or following the latest developments in accelerated computing, this episode is a great primer before the event.
Links mentioned:
AI Fail video from Dirk:
https://www.youtube.com/watch?v=CWGefSIVIKM
All hybrid sessions in the content catalog:
https://register.nvidia.com/flow/nvidia/gtc26/ap/page/catalog?tab.catalogallsessionstab=16566177511100015Kus&search.viewingexperience=1700085746191002Cnn0
Register for NVIDIA GTC today using the following link:
https://nvda.ws/4qXGFjm
Chapters:
00:00 – Welcome to the GTC pre-show
00:40 – Meet Dirk Glücker
01:20 – AI fail of the week: robot meets mirror
04:10 – Physical AI and robotics challenges
05:20 – What GTC is like for first-time attendees
07:50 – Highlights from last year’s conference
08:10 – DGX Spark and AI factories
09:10 – Why meeting experts at GTC matters
12:20 – How to plan your GTC schedule
13:00 – MLOps sessions worth attending
14:30 – AI coding agents and development automation
16:10 – Distributed inference at scale
17:00 – Inside NVIDIA’s inference ecosystem
18:00 – AI infrastructure and platform engineering
19:30 – Multi-tenant GPU clusters
21:00 – Pixar rendering pipelines and GPUs
22:00 – Formula One and AI performance
23:00 – Watching GTC remotely
24:00 – Open source inference and sovereign AI
26:30 – Overlapping sessions and planning strategy
27:10 – Predictions for Jensen Huang’s keynote
31:00 – AI factory networking infrastructure
33:00 – Exploring the GTC expo floor
37:00 – Tips for first-time attendees
44:00 – Final thoughts before GTC