Zhibian Technology releases the industry's first multimodal memory platform MemoryLake

ZhiBian Technology launches the industry’s first multi-modal memory platform with ultra-large-scale practical capabilities—MemoryLake. The platform integrates “deep understanding of multi-modal content, multi-modal memory storage, memory computing, and management” into a full-stack solution, consisting of the MemoryLake-D1 large model, MemoryLake memory engine, and multi-modal storage and computing platform (Relyt Multi-modal Data Cloud). According to reports, MemoryLake aims to address many fundamental challenges faced by enterprise AI deployment, including “difficulty in understanding and integrating multi-modal information,” “memory gaps caused by data fragmentation,” “inaccurate and unreliable model decision-making,” “high costs of large model invocation,” and “large enterprise data volumes but slow response times.” (Science and Technology Innovation Board Daily)