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Received β€” 22 July 2026 ⏭ NVIDIA Technical Blog

Make Long-Running NVIDIA TensorRT Engine Builds Observable and Cancelable in Python or C++

22 July 2026 at 16:35
Decorative image.A TensorRT engine build can take seconds to many minutes. Large strongly typed models, deep tactic search, and a cold timing cache on a brand-new GPU SKU can...Decorative image.

A TensorRT engine build can take seconds to many minutes. Large strongly typed models, deep tactic search, and a cold timing cache on a brand-new GPU SKU can leave developers, end users, or AI agents staring at a frozen terminal with no idea whether to wait, retry, or kill the process. Most NVIDIA TensorRT integrations report nothing during a build or provide no way to abort early.

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Received β€” 7 July 2026 ⏭ NVIDIA Technical Blog

Building an Analysis AI Agent for Industrial Alarm Management with NVIDIA Nemotron

7 July 2026 at 17:00
Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context,...

Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context, determines the correct procedure, checks whether a specialist signal confirms the failure mode, and writes up a recommendation. This process remains consistent, and is well-suited for an AI agent. This post discusses a per-alarm…

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Received β€” 2 June 2026 ⏭ NVIDIA Technical Blog

Build Personal AI Agents on Windows PCs with New Tools from Microsoft and NVIDIA

AI agents are changing how you interact with your PC. Creators, developers, and AI enthusiasts are already using these agents extensively to assist with...

AI agents are changing how you interact with your PC. Creators, developers, and AI enthusiasts are already using these agents extensively to assist with day-to-day tasks such as coding, video editing, and content management. NVIDIA and Microsoft are teaming up to enable the next generation of developers to build on-device agents on the Windows platform, with easier setup, native security…

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Received β€” 27 May 2026 ⏭ NVIDIA Technical Blog

NVIDIA Dynamo Snapshot: Fast Startup for Inference Workloads on Kubernetes

The cold-start problem In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However,...

In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However, cold-starting inference workloads on Kubernetes can take several minutes. During that time, GPUs are allocated but idle, generating no tokens and serving no requests. This delay increases the risk of service level agreement (SLA) violations during traffic spikes…

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