The Memory Problem Everyone Ignores in Long-Context AI
Long context isn't just a context-window number — it's a KV-cache memory bill that grows with every token. The cost nobody budgets for.
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Long context isn't just a context-window number — it's a KV-cache memory bill that grows with every token. The cost nobody budgets for.
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Applied AI
Breaking the VRAM Wall: How Hierarchical KV Cache Clustering Linearizes Transformer Inference Costs
How clustering the key-value cache collapses the memory economics of long-context Transformers — up to 83% VRAM reduction and 4.3x serving throughput.
Applied AI
Why Most RAG Pipelines Break in Production (and How to Build One That Doesn't)
Retrieval-augmented generation is easy to demo and hard to ship. The failure modes of naive RAG — and the architecture patterns that survive real traffic.