Always-On AI Is Becoming a Network Engineering Problem
As AI inference shifts from periodic workloads to continuous traffic, organizations need new capacity models spanning edge, backbone, and application layers.
#real-time
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Real-Time Lakehouse Architectures Are Becoming Mainstream
Batch and streaming analytics stacks are converging around lower-latency decision loops.