For large model inference scenarios, Metanbrain Server launched a G3.5 layer all-flash solution that supports Mooncake KV cache sharing. The solution uses the Yuanbrain all-flash server NF5286 as the core, and collaborates with the Mooncake cache component and inference framework to provide the inference cluster with a shared KV Cache space that is independent of the computing node and can be individually planned according to business requirements. As contextual requirements grow, cache resources can be expanded separately; when GPU nodes are expanded, adjusted, or maintained, the cache resources do not have to completely change with the computing node.

For large model inference scenarios, Metanbrain Server launched a G3.5 layer all-flash solution that supports Mooncake KV cache sharing. The solution uses the Yuanbrain all-flash server NF5286 as the core, and collaborates with the Mooncake cache component and inference framework to provide the inference cluster with a shared KV Cache space that is independent of the computing node and can be individually planned according to business requirements. As contextual requirements grow, cache resources can be expanded separately; when GPU nodes are expanded, adjusted, or maintained, the cache resources do not have to completely change with the computing node.