THE NPU SOLUTION
LRL integrated NPUsearch into a dual-CPU supported appliance containing 96 TB SSD storage that can be scanned within minutes. Full content search of unindexed storage data is regex accessible via Jupyter Notebook or other Python-based interface. Multiple appliances can be joined to build petabytes of storage with no increase in search time.
NPUsearch technology addresses the escalating mismatch between data accumulation and search capacity. Indexing infrastructure and CPU costs grow excessively with large data volumes, forcing unpleasant compromises. Loss of resolution on sparse events limits future analyses, and full content search on unindexed data lakes can take weeks or months.