Inference needs memory: How context is becoming AI infrastructure

As enterprise AI becomes more complex, AI architectures can no longer treat context as temporary.
VentureBeat

New KV cache compaction technique cuts LLM memory 50x without accuracy loss

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...
MUO on MSN

I stopped using background RAM optimizers — and here’s the exact reason they make things slower

That satisfying drop in memory usage was costing me speed.
TechSpot

AMD 3D V-Cache CPU memory used to create incredibly fast RAM disk

Why it matters: A RAM drive is traditionally conceived as a block of volatile memory "formatted" to be used as a secondary storage disk drive. RAM disks are extremely fast compared to HDDs or even ...