Madhu Paluru
Director, Engineering at Aviz Networks
San Jose, California, United States
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Madhu is a technology leader in the space of Network 3.0 and beyond. He is building Gen AI powered data driven network stack for enterprises and large scale networks by adopting SONiC as Open Networking platform and helping various customers by harnessing the power of data driven networking. He has over a decade of proven experience in leading and creating solution architectures, software design, development and delivery for Cloud, Enterprise and Autonomous campus networks. He has experience with mix of startup and enterprise companies.
Madhu is Linux Foundation TSC member and moderator of the SONiC community and he works closely with both customers and developers of SONiC everyday. Madhu provide AI driven network management stack for enterprises and data centers at scale. Besides that, have educated over 100 engineers across the ecosystem to create more SONiC experts. Having extensive experience with a great variety of customer use cases in the cloud, data center, campus, and edge. Madhu is helping drive SONiC adoption in enterprise globally and will be able to help steer the technology to its greatest potential.
Area of Expertise
Topics
Overcoming Challenges for AI-Fabric with SONiC
The increasing use of Gen AI training and inference workloads has posed unique requirements to network infrastructure. SONiC as a Open Networking Platform provides all the necessary control and data plane support to handle these AI workloads and we will propose solutions to efficiently manage and operate these AI fabrics by minimizing the configuration errors by config automation and improved troubleshooting by providing deep visibility into the network.
Targeted to Network Engineers, Operators, Admins, Solution Architects, Data architects and Decision makers.
Unlocking Possibilities with Gen-AI and Open Networking
To operate networks at scale the engineering teams and decision makers collect vast amounts of data from various sources such as data centers and edges. This data includes network and application visibility, which can be overwhelming to analyze and make actionable insights. By leveraging SONiC as the Open Networking platform, which enabled us with a richer set of data that can be harnessed with LLMs to condense this vast amount of data into actionable insights, that helps operators and decision makers to tackle various use cases such as compliance, forecasting and troubleshooting.
Targeted to Network operators, decision makers, architects and admins.
ONE summit 2024
Overcoming Challenges for AI-Fabric with SONiC
Unlocking Possibilities with Gen-AI and Open Networking
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