What are the fundamentals of data processing and storage output in the real world.
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Answer:
Computational Storage
The volume of data we generate is expected to grow by an astonishing 27% a year. Applications such as the IoT are generating a volume of data that is becoming harder to manage. To further accelerate IoT deployments, data insights must be generated as quickly as possible. Clearly, with these challenges, data processing can no longer only happen in the cloud.
Computational storage, also known as in-situ processing or in-storage compute, brings high-performance compute to traditional storage devices. Data can be processed and analyzed where it is generated and stored, empowering users and organizations to extract valuable, actionable insights at the device level.
Secure, Energy-Efficient Smart Storage
Advantages of a computational storage drives (CSD) over traditional storage systems include:
Latency reduction: analyzing data where it is created and stored allows results and insights to be generated in near real-time.
Bandwidth and power efficiency: reducing the workload on servers in the data center leads to lower operating and cooling costs.
Security and privacy compliance: data remains on the drive for aggregation and processing, helping to mitigate communication vulnerabilities.
Flexibility and scalability: easily scale performance with added storage infrastructure and produce flexible solutions for different storage applications.
Arm offers the easiest, fastest, and most cost-effective computational storage solution with our low-power, high-performance processors and a software stack and developer tools from the Linux ecosystem.
Computational Storage Use Cases Across Industries
As the amount of data being generated continues to explode, meaningful insights must be derived as quickly as possible. These common use cases demonstrate the significant impacts of implementing computational storage.
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