Prakash Rao
AIG Technologies, Principal Cloud Engineer
Tokyo, Japan
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Prakash Rao is a Principal Cloud Engineer with an impressive tenure designing advanced cloud-based solutions. Currently excelling at AIG, Prakash showcases his expert knowledge in automation and configuration management in cloud platforms, notably AWS. He is highly experienced in transforming complex IT infrastructures into optimized, scalable cloud environments.
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Exploring Kepler's Next Chapter: Achieving Cloud-Native Sustainability with MCP Integration
The Kepler open-source project is vital for monitoring energy consumption in Kubernetes. However, its raw and complex data often exists in a vacuum that Enterprises take time to interpret and use. This presentation introduces the next evolution: integrating Kepler with the Model Context Protocol (MCP). This transforms Kepler into an interactive, queryable data source, allowing developers to contextualize energy metrics in real time. I'll explore how this new approach, empowers developers to not only observe power consumption but to compare it against local regulatory frameworks, such us MIC in Japan, and international standards. The session culminates in a live demo where we will use MCP to query a high-CPU workload, instantly validating its energy profile against predefined compliance targets. This powerful combination dramatically accelerates the time-to-market for verified green and compliant cloud-native applications.
Millisecond AI: LLM Inference at the 5G Edge
With 5G’s rollout, delivering AI services in milliseconds has never been more critical.
This session shows how to deploy large language models (LLMs) on edge infrastructure leveraging Open5GS for a virtualized 5G core and Ollama for local inference to slash latency and cloud expenses.
We’ll walk through a production-grade architecture and demo a simulated 5G device calling an edge-hosted AI endpoint. You’ll learn how to optimize workload placement, enable CPU-only inference, and balance reliability with resource constraints when integrating AI into telecom networks.
By the end, you’ll have a practical blueprint for bringing real-time intelligence to users and unlocking new edge-driven innovation in the AI & Data Innovations track.
Mission Possible: Forging a New Paradigm in 5G Deployment through CDK and AI Issue Navigation
This talk will outline the deployment and fine-tuning of the 5G core. Our approach utilizes customized CDK constructs and LLMs to establish a fully operational Edge 5G core network.
In the first part of the session, we will showcase a new way of combining LLM with our existing 5G core network, which will be deployed using CDK construct. We will then use data from logs to continuously feed and update the training pipeline. This setup enables open-source LLMs to quickly adapt and provide on-the-spot, practical insights.
The last part of the session will conclude with a real-world demonstration where the LLM successfully collects logs in real-time including the 5G codebase, to serve as a training dataset to diagnose and rectify any challenging error in this Edge 5G network, showcasing its capability to analyze and suggest corrective actions effectively. This approach not only enhances operational efficiency but also optimizes response strategies in 5G telecommunications infrastructure.
A Paradigm Shift in 5G Deployment: The Promise of eBPF for Open-source Core Performance and Security
This session will focus on the power of applying eBPF to 5G Core deployments over Kubernetes.
We aim to prove and discuss how eBPF can improve network performance and security and contribute to the evolution of existing 5G technologies.
Our presentation will start with an overview of eBPF – a revolutionary technology that allows for dynamic tracing of the kernel, enhancing network routing, load balancing, and security. We will discuss challenges for current 5G deployment strategies and how eBPF can provide practical solutions, emphasizing its potential benefits and relevance in the 5G context.
Then we will transition into a detailed exploration of deploying a CNI with eBPF in a 5GCore solution over Kubernetes.
The last part of the session will conclude with a real-world demonstration of deploying LTERAN and establishing end-to-end communication, showcasing the practical implications and benefits of using eBPF in 5G deployment strategies and some takeaways.
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