Traditional telecom networks, built primarily for voice and data services, are increasingly inadequate for modern AI workloads. The rise of edge computing, real-time applications, and autonomous AI agents requires networks…
Vamsi Chemitiganti
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We continue our exposition on AI factories with a look at Google infrastructure. Google’s AI factory approach represents one of the most extensive implementations globally. Their search algorithm updates, powered…
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5GKubernetesNetworkingSDN
Complex Made Clear – “The Network Complexity Crisis (3/3): – Real-World Network Automation Success Stories
Welcome to “Complex Made Clear” – where we take the intimidating, untangle the technical, and make the complicated feel conquerable. In this series, we break down complex topics into digestible,…
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DevOpsEdge ComputingKubernetesMicroservicesNetworkingOpen Source
Complex Made Clear – “The Network Complexity Crisis (2/3): How Open Source Is Redefining Telco Automation
Welcome to “Complex Made Clear” – where we take the intimidating, untangle the technical, and make the complicated feel conquerable. In this series, we break down complex topics into digestible,…
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5GEdge ComputingNetworkingTelcos
Complex Made Clear – “The Network Complexity Crisis (⅓): Why Traditional Telco Automation Is Breaking Down”
Welcome to “Complex Made Clear” – where we take the intimidating, untangle the technical, and make the complicated feel conquerable. In this series, we break down complex topics into digestible,…
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The architecture presented here represents a practical approach to autonomous RAN implementation, moving beyond theoretical frameworks to actionable deployment strategies. By leveraging Agentic AI for intelligent decision-making and eBPF for deep network visibility, this system provides the foundation for self-optimizing networks that can meet the demands of advanced telecommunications infrastructure
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AIAWSCloudCloud NativeContainers
Industry Spotlight – Engineering the AI Factory: Amazon’s AI Infrastructure: A Dual Purpose Powerhouse (Part 5)
Amazon’s AI infrastructure strategy stands out with its unique dual role: it serves as both a massive internal consumer of AI/ML technologies and the leading provider of cloud-based AI/ML services…
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AIBankingCloud NativeContainersFinTech
Enterprise AI Architecture: Balancing Centralization and Decentralization in Banking
Large banks face a significant technical challenge: building AI and machine learning infrastructure that serves diverse business needs across the enterprise. From fraud detection systems using traditional ML models to…
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Network slicing’s primary benefit is its capacity to divide various business functions into separate, logical network segments. These segments, or network slices, can be customized and optimized for the specific…
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AICloud NativeGenAIGenerative AIOpen Source
Industry Spotlight – Engineering the AI Factory: Inside Meta’s AI Infrastructure (Part 4)
In Part 4 of our series on the AI Factory – https://www.vamsitalkstech.com/ai/industry-spotlight-engineering-the-ai-factory-inside-ubers-ai-infrastructure-part-2/ , we explored one of the most sophisticated implementations of an AI factory in production: Netflix’s machine learning…