AIMarkTechPostabout 4 hours ago
The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache
6 min read
Long-context LLMs face a memory bottleneck from KV caches, which can exceed 300 GB at 1M tokens for Llama-3.1-70B. TurboQuant (Google and NYU), OSCAR (Together AI), and EpiCache (Apple) each attack KV cache compression differently, with EpiCache addressing a problem the others ignore.
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