[research]By ByteBulletin Editor
Nexus: KV-Cache Routing to Slash LLM Inference Costs
New research introduces a routing mechanism that distributes key-value cache storage across machines to cut memory overhead and latency in large-scale LLM serving.
[tag]
#kv-cache
3 stories
[tooling]By ByteBulletin Editor
UL-SMF: A Hardware-Software Fabric That Squeezes KV Cache Down to 2.6% of Its Size
A new open-source memory compression fabric claims up to 384x KV-cache reduction with >94% semantic retention, aiming to unblock long-context inference.
[research]By ByteBulletin Editor
KV Cache Compression Study Shows Potential for Dramatically Faster LLM Inference
New research on compressing the key-value cache in transformer models could reduce memory usage and latency, enabling longer context windows and cheaper deployment.
