Matthew Penn – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-10T19:17:39Z http://www.open-lab.net/blog/feed/ Matthew Penn <![CDATA[How to Build Custom AI Agents with NVIDIA NeMo Agent Toolkit Open Source Library]]> http://www.open-lab.net/blog/?p=102422 2025-07-10T19:17:39Z 2025-07-01T15:33:36Z AI agents are revolutionizing the digital workforce by transforming business operations, automating complex tasks, and unlocking new efficiencies. With the...]]>

AI agents are revolutionizing the digital workforce by transforming business operations, automating complex tasks, and unlocking new efficiencies. With the ability to collaborate, these agents can now work together to tackle complex problems and drive even greater impact. The NVIDIA NeMo Agent toolkit is an open source library that simplifies the integration of agents…

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Matthew Penn <![CDATA[Automate Early Security Patching in CI Pipelines on AWS Using NVIDIA AI Blueprints]]> http://www.open-lab.net/blog/?p=92919 2025-02-13T20:46:09Z 2024-12-03T18:30:00Z The evolution of modern application development has led to a significant shift toward microservice-based architectures. This approach offers great flexibility...]]>

The evolution of modern application development has led to a significant shift toward microservice-based architectures. This approach offers great flexibility and scalability, but it also introduces new complexities, particularly in the realm of security. In the past, engineering teams were responsible for a handful of security aspects in their monolithic applications. Now, with microservices…

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Matthew Penn <![CDATA[Realizing the Power of Real-Time Network Processing with NVIDIA DOCA GPUNetIO]]> http://www.open-lab.net/blog/?p=68354 2023-10-23T17:15:37Z 2023-07-24T20:00:00Z Real-time processing of network traffic can be leveraged by the high degree of parallelism GPUs offer. Optimizing packet acquisition or transmission in these...]]>

Real-time processing of network traffic can be leveraged by the high degree of parallelism GPUs offer. Optimizing packet acquisition or transmission in these types of applications avoids bottlenecks and enables the overall execution to keep up with high-speed networks. In this context, DOCA GPUNetIO promotes the GPU as an independent component that can exercise network and compute tasks without…

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