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The Cloud-Era Of Computing Is Just About Over, So What's Next?

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Most technology startups founded in the past decade are either building software for the cloud or running their applications in the cloud. It has become so trendy that many venture investors will simply not invest in any "tech" that is not "cloud-based." With the cloud as popular as ever, it may seem like heresy to say that it is all about to change, but that is exactly what happens with technology and innovation. As soon as you start to get comfortable, everything changes. I believe the next era of computing will transition the focus to what is known as "edge computing" which, in many ways, is the anti-cloud.


New InfiniteIO Platform Reduces Latency and Accelerates Performance for Machine Learning, AI and Analytics

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AUSTIN, Texas--(BUSINESS WIRE)--InfiniteIO, the world's fastest metadata platform to reduce application latency, today announced the new Application Accelerator, which delivers dramatic performance improvements for critical applications by processing file metadata independently from on-premises storage or cloud systems. The new platform provides organizations across industries the lowest possible latency for their mission-critical applications, such as AI/machine learning, HPC and genomics, while minimizing disruption to IT teams. "Bandwidth and I/O challenges have been largely overcome, yet reducing latency remains a significant barrier to improving application performance," said Henry Baltazar, vice president of research at 451 Research. "Metadata requests are a large part of file system latency, making up the vast majority of requests to a storage system or cloud. InfiniteIO's approach to abstracting metadata from file data offers IT managers a nondisruptive way to immediately accelerate application performance."


New InfiniteIO Platform Reduces Latency and Accelerates Performance for Machine Learning, AI and Analytics

#artificialintelligence

InfiniteIO, the world's fastest metadata platform to reduce application latency, today announced the new Application Accelerator, which delivers dramatic performance improvements for critical applications by processing file metadata independently from on-premises storage or cloud systems. The new platform provides organizations across industries the lowest possible latency for their mission-critical applications, such as AI/machine learning, HPC and genomics, while minimizing disruption to IT teams. This press release features multimedia. "Bandwidth and I/O challenges have been largely overcome, yet reducing latency remains a significant barrier to improving application performance," said Henry Baltazar, vice president of research at 451 Research. "Metadata requests are a large part of file system latency, making up the vast majority of requests to a storage system or cloud. InfiniteIO's approach to abstracting metadata from file data offers IT managers a nondisruptive way to immediately accelerate application performance."


What's The Difference Between Edge Computing and Decentralized Computing?

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Edge Computing is a decentralized, distributed computing infrastructure that has evolved with the growth of the internet ot things. Due to their similar names and the general unawareness of advanced computing, some people tend to think that decentralized computing and edge computing are similar. But, both types of computing are different and complementary to each other. When combined together as decentralized edge computing, they can perform tasks that cannot be achieved individually. Edge computing is the deployment of computing and storage resources at the location where data is produced.


What is Edge Computing?

#artificialintelligence

Edge computing is made up of two words in which edge means edge and computing means computation. Unlike cloud computing, under computing, data is collected near devices for computing purposes. In other words, it is a new networking system under which data sources / servers and data processing are brought closer to the computing process to reduce latency and bandwidth problems and increase the capacity of an application. In contrast, the source of data in cloud computing can be located thousands of kilometers away from the machine. Under edge computing, the data server is deployed locally and the data collection and processing is done locally and only the required data is sent to the remote cloud.