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Why TrendAI Needs K8s, Nodes Are Computers, Pods are groups of containers…

- - - - embeddings = Embeddings(keyword=True)
        
        embeddings.index(data)
        
        Data Pipelines require efficient network engineering to handle massive spikes of traffic, diverse and large scale data storage, and other network aspects like caching.
        
        This quickly spirals into firewall management, load balancing, caching and other network security and data mangement requirements.
        
        VMs and other IaaS options let you configure hardware and operating systems, but do not handle networking and security for you.
        
        print(embeddings.search("Steak Grilling Trends"))
        
        Maine man wins new George Foreman grill for winning cooking contest.
        
        Efficient machine learning tools integrate with infrastructure down to the hardware level. This code has access to GPU capabilities.
        
        This quickly spirals into python dependency issues with operating systems (torch-win32 over linux), hardware issues with local storage configurations, etc.
        
        EC2 and many hosting platforms are designed to handle networking and load balancing for you, but you cannot configure the hardware or much of anything on the server running your app.
        
        This means we need a method for handling both infrastructure such as hardware and operating systems, as well as networking with firewalls and load balancing.
        
        Google Workspace
        
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      - The Code