Hewlett Packard Enterprise (HPE) has announced advancements to HPE SimpliVity, the company's flagship hyperconverged infrastructure (HCI) platform, ushering in a new generation of HCI powered with artificial intelligence to simplify virtual machine (VM) management and free IT staff to focus on innovation. Building upon its software-defined architecture, HPE SimpliVity is enhancing its customer experience with HPE InfoSight, one-click cluster upgrades, and the integration of HPE StoreOnce. Today's enterprises are under relentless pressure to streamline operations and accelerate innovation, but in order to achieve this agility, they require an intelligent underlying architecture for virtualized environments that automatically speeds time to market and eliminates complexity. While HCI inherently accelerates service delivery and resource efficiency, traditional HCI offerings still require IT to react to unexpected disruptions and application delays, and make tradeoffs as enterprises scale their environments. HPE SimpliVity goes beyond software-defined, ushering in AI-driven infrastructure, infusing artificial intelligence to transform IT operations by predicting and preventing issues.

The next phase of software-defined infrastructure is artificial intelligence (AI) powered hyperconverged infrastructure (HCI), according to Hewlett Packard Enterprise (HPE). And to this end, the vendor announced it started shipping its HCI product SimpliVity with Infosight, its AI-management tool, as well as one-click cluster upgrades and integration with its data protection software StoreOnce. "HCI already represents simplicity for the VM [virtual machine] administrator," said David Wang, director of product marketing for storage at HPE. "You're going to have faster time to market, you're going to have easier management because you're eliminating silos. But HCI hasn't solved that problem of day two and beyond." HCI improves resource efficiency by scaling compute and storage.

As you may remember from HPE Discover in June, HPE announced that InfoSight is being integrated into HPE SimpliVity hyperconverged infrastructure (HCI). HPE InfoSight is a SaaS portal with the intelligence to predict and even prevent infrastructure problems before they happen. I know, I can hardly believe it myself. Now the HPE SimpliVity platform, which includes features such as always-on inline deduplication and compression, and built-in data protection, will be the first HCI solution to include artificial intelligence (AI) using HPE InfoSight. In this blog series, I am going to walk you through the benefits of InfoSight in an HPE SimpliVity environment.

All of these apps generate extreme volumes of data that must be collected and processed in real time. Networks built as recently as 10 years ago weren't required to collect, route, and process this vast amount of data at real-time speeds. Typical networks contained a web of hardware and cabling, a one-size-fits-all offering of bandwidth and throughput that was far too cumbersome to handle today's AI and machine learning applications. Not surprisingly, modern networking is based on a very different design. Innovations in software-defined technologies allow for scale-out infrastructures that can be added incrementally to meet business needs.

Artificial intelligence (AI) applications are quickly finding their way into everyday life – whether it's traffic data for Waze maps, sensor data from self-driving cars, or Netflix entertainment recommendations. All of these apps generate extreme volumes of data that must be collected and processed in real time. Networks built as recently as 10 years ago weren't required to collect, route, and process this vast amount of data at real-time speeds. Typical networks contained a web of hardware and cabling, a one-size-fits-all offering of bandwidth and throughput that was far too cumbersome to handle today's AI and machine learning applications. Not surprisingly, modern networking is based on a very different design.

Artificial intelligence (AI) applications are quickly finding their way into everyday life – whether it's traffic data for Waze maps, sensor data from self-driving cars, or Netflix entertainment recommendations. All of these apps generate extreme volumes of data that must be collected and processed in real time. Networks built as recently as ten years ago weren't required to collect, route, and process this vast amount of data at real-time speeds. Typical networks contained a web of hardware and cabling, a one-size-fits-all offering of bandwidth and throughput, which was far too cumbersome to handle today's AI and machine learning applications. Not too surprisingly, modern networking is based on a very different design.