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What is Address Resolution Protocol--ARP
access_time 2025-12-04T17:01:48.173Z face Rinovate Academy
What is Address Resolution Protocol—ARP Anshuman Address Resolution Protocol (ARP) is the quiet matchmaker that lets IPv4 addresses find the right MAC addresses on a LAN, then remembers those pairings for faster conversations later on. Why ARP exists When a device sends traffic, the packet carries I...
Understanding Clos / Spine–Leaf Architecture: Why Modern Data Centers Depend on It for Scale & Reliability
access_time 2025-12-03T17:26:46.292Z face Rinovate Academy
Understanding Clos / Spine–Leaf Architecture: Why Modern Data Centers Depend on It for Scale & Reliability Sabyasachi (SK) Say Yes to New Adventures Lorem Modern data centers—whether built by Google, Meta, AWS, Microsoft, or Arrcus-based fabrics—use a Clos / Spine–Leaf architecture instead of tradit...
What Really Happens During Inference — How AI Models Come Alive
access_time 2025-12-02T16:39:13.207Z face Rinovate Academy
What Really Happens During Inference — How AI Models Come Alive By Sabyasachi (SK) After an AI model is trained — after months of GPU-intensive computation, massive data exchange, and countless synchronization cycles — the next stage begins:👉 Inference This is where the model finally comes alive an...
The Hidden Battle Inside AI Datacenters — How Network Traffic Patterns Shape the Speed of Training
access_time 2025-12-01T16:32:33.544Z face Rinovate Academy
The Hidden Battle Inside AI Datacenters — How Network Traffic Patterns Shape the Speed of Training By Sabyasachi (SK) In Part 3 of this series, we explored how thousands of GPUs collaborate during training — dividing the work, computing millions of iterative waves, and synchronizing constantly throu...
What Really Happens Inside an AI Training Set — From Raw Data to Tokens to Neural Networks
access_time 2025-11-30T15:57:40.564Z face Rinovate Academy
What Really Happens Inside an AI Training Set — From Raw Data to Tokens to Neural Networks By Sabyasachi (SK) In the previous part of this series, we explored the foundations of AI — models, training, GPUs and inference. Now, let’s go one level deeper into the most important part of AI development: ...