NVIDIA GTC Berlin 2026: From AI Demo to Production Agent
Virtualization Velocity
0:00 / 0:00
NVIDIA GTC Berlin 2026: From AI Demo to Production Agent
38 просмотров · 12 дн. назад
Virtualization Velocity
34 подписчика
38 просмотров · 12 дн. назад
AI agents are moving beyond chat. At NVIDIA’s GTC Berlin keynote, the conversation turned to agents that can use enterprise knowledge, call tools, and take action.
In this episode of AI-in-5, Brandon Seymour looks at what it takes to move an agent from demo to production: the data and tools it can access, the permissions it needs, how to sandbox and monitor it, and where human approval belongs.
The practical takeaway: start with one focused workflow, define the agent’s boundaries, and measure whether it completes the task reliably.
Keynote source: https://blogs.nvidia.com/blog/gtc-ber...
Find more information on my blog: https://www.virtualizationvelocity.com/
CHAPTERS
00:00 Welcome to AI-in-5
00:15 What NVIDIA announced at GTC Berlin
00:52 An AI agent is more than a model
01:35 A practical operations example
02:25 Security, permissions, and OpenShell
03:18 Why the knowledge layer matters
03:50 Test before taking action
04:25 Moving from demo to production
TAGS
AI agents, NVIDIA GTC Berlin 2026, NVIDIA AI, enterprise AI, AI infrastructure, AI factory, AI agent security, OpenShell, agentic AI, production AI, AI sandboxing, AI governance, enterprise data, AI orchestration, digital twins, AI in 5, Brandon Seymour, Virtualization Velocity
HASHTAGS
#AI #AIInfrastructure #AIin5