Enterprise organizations are recognizing that data is the new driver of business value. The good news is that they have lots of data and are creating more each day. The bad news is that the tiered storage architectures of the past are making most of that data hard to get to and slow to process when it is available. As organizations begin the transition to become so-called cognitive enterprises in which they employ data-intensive intelligent applications at-scale, the old ways of storing and serving data will no longer suffice.
Vexata believes that the only way to address this problem is to take a new approach and, therefore, designed a storage architecture to meet the particular needs of these data-intensive applications — but in a way that was minimally disruptive to current data center architectures. The company’s solution, it says, strikes this balance by using proprietary software, a new architectural approach, and purpose-built field-programmable gate arrays (FPGA), but uses commodity components for everything else.
The solution’s architecture allows it to separate the data and control paths and use its proprietary FPGAs to perform load balancing. The result is a low-latency, cut-through data path that delivers, according to the company, exceptional performance that simultaneously helps enterprises meet growing demands on existing legacy systems, as well as enable them to introduce more data-intensive cognitive workloads over time.
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