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KV Cache Compression Will Cut Inference Costs 50% Before HBM4 Ships at Scale
KV caches are AI inference's biggest bottleneck. Software compression (6x cited) is shipping faster than HBM4 hardware — and will drive the cost collapse of 2026-2027.
KV cache is THE bottleneck: 128K prompt on Llama 3.1-70B = 40GB HBM just for key-value storage
TurboQuant: 6x compression at inference time, no retraining required, minimal quality loss
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