Technological Advancements Expected to Drive Virtual Reality Growth in Healthcare

DAC | April 04, 2019

Increasing demand for innovative diagnostic techniques, neurological disorders and increasing disease awareness are expected to drive growth of virtual reality (VR) in the healthcare market over the next several years, according to new research from Reports and Data. The report projects the market will reach a value of $6.91 billion by 2026. Advancements in the field of information technology (IT), including laptop, computer, internet connectivity and mobile applications will also be a significant factor stimulating market demand. Due to the constant technological advancement of related products, prevalence of neurological and psychological disorders, and presence of a sophisticated healthcare infrastructure, the North America region accounted for the highest market share in 2018 at 44.21 percent.

Spotlight

As more and more companies begin to expand their digital presence, an increasing number of systems, workloads, and applications are becoming business-critical. It is therefore required to ensure that these systems remain always available to customers and end-users. To keep up with this intense demand, enterprises must evolve beyond disaster recovery and embrace IT resilience, or the ability to accelerate transformation, adapt to change, and protect the business from disruptions. But building a resilient environment isn’t something that happens overnight. These plans must be carefully crafted and designed with the unique needs of each company in mind.

Spotlight

As more and more companies begin to expand their digital presence, an increasing number of systems, workloads, and applications are becoming business-critical. It is therefore required to ensure that these systems remain always available to customers and end-users. To keep up with this intense demand, enterprises must evolve beyond disaster recovery and embrace IT resilience, or the ability to accelerate transformation, adapt to change, and protect the business from disruptions. But building a resilient environment isn’t something that happens overnight. These plans must be carefully crafted and designed with the unique needs of each company in mind.

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VIRTUAL DESKTOP STRATEGIES

Scality offers enterprise-grade support for ARTESCA on vSphere

Scality | June 30, 2022

Scality today announced that their ARTESCA lightweight, cloud-native object storage platform is now officially supported on VMware vSphere/ESXi virtualization systems. This gives vSphere customers production-level ARTESCA virtual machine (VM) capabilities, with functionality comparable to physical servers and increased deployment options. In this time of supply chain challenges producing long lead times for physical storage server hardware, which can postpone company objectives, virtual machine support is very crucial. Traditionally, enterprise-grade storage needed hardware with an integrated CPU, memory, and disk capacity. Scality was a pioneer in overcoming the requirement for bespoke hardware by focusing solely on software and leveraging conventional server platforms. ARTESCA now deviates from typical storage needs by supporting production-level workloads on flexible, widely used VMware vSphere virtual infrastructures, including VMware vSAN compatibility and live migration capabilities. In addition to giving clients more deployment options, this allows partners and resellers to provide solutions to customers more quickly by avoiding supply chain delays, resulting in a faster time to revenue. Scality ARTESCA, which will be available in 2021, is rethinking object storage for the new cloud-native era. It offers both a compact footprint at the edge and data center scalability. ARTESCA is a lightweight, cloud-native object storage solution that combines full enterprise-grade features with rapid access everywhere data dwells. "Ongoing supply chain disruptions hamper business goals and growth. We're supporting ARTESCA software-based object storage on VMWare's ubiquitous vSphere environment to offer a solution that bypasses current supply conditions by eliminating new hardware requirements. Companies can move forward with the data storage and management they need." Paul Speciale, chief marketing officer, Scality

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SERVER VIRTUALIZATION

VMware Enhances vSphere with Nvidia AI Software Support

VMware | March 25, 2021

With the arrival of vSphere 7 Update 2 in early March 2021, VMware took a significant step into the world of artificial intelligence and machine learning, and now support for Nvidia AI software has arrived on its flagship platform. This wasn't entirely surprising. Nvidia and VMware announced a collaboration during September's online VMworld event, intending to have Nvidia's AI Enterprise software accessible on VMware's platform for deploying and managing virtual machines. With this latest release, vSphere is "exclusively certified" to run Nvidia's AI Enterprise applications and frameworks, which have now been containerized and can be run through an organization's infrastructure rather than in a silo. This, of course, means more support for Nvidia GPUs, which are needed to run the software. "It opens up for both of us a good opportunity," Lee Caswell, vice president of marketing at VMware, told ITPro Today. "We're looking to go and help AI become mainstream in the enterprise. They're looking to open that up for all of our 300,000 vSphere customers, who can now have access to these new capabilities." Access to this market is vital for Nvidia because it will improve revenues in their data center division, which generated $6.7 billion in the previous fiscal year. Obtaining a position in the emerging enterprise AI market is also essential for VMware, which has spent the last few years expanding its offerings beyond the virtualization technology it pioneered, mostly by acquisitions; in 2018, VMware added cloud-native technology to its portfolio with the purchase of the Kubernetes startup Heptio, and about a year later bought back Pivotal a cloud-native platform. Access to this market is vital for Nvidia because it will improve revenues in their data center division, which generated $6.7 billion in the previous fiscal year. Obtaining a position in the emerging enterprise AI market is also essential for VMware, which has spent the last few years expanding its offerings beyond the virtualization technology it pioneered, mostly by acquisitions; in 2018, VMware added cloud-native technology to its portfolio with the purchase of the Kubernetes startup Heptio, and about a year later bought back Pivotal a cloud-native platform. Nvidia and Vsphere Caswell explained that traditionally, AI software has been run on bare metal to prevent possible performance loss associated with moving compute-heavy workloads to VMs or containers. The issue with this approach is that bare metal deployments are not portable. As a result, AI workloads are limited to silos, which is a problem for enterprises who want to use AI on-the-fly throughout their IT infrastructure. VMware and Nvidia were able to containerize Nvidia's AI Enterprise software with almost the same benchmarked performance levels as operating on bare metal by using properties inherent in vSphere's hypervisor. This makes Nvidia AI software easily available across an organization's infrastructure, resolving the issue of ensuring portability while sacrificing substantial efficiency. To function properly, AI software must be able to take advantage of GPUs, which take most of the load off of a server's CPUs by doing much of the heavy lifting. VMware has added support for Nvidia's A100 Tensor Core GPUs, which are used in Nvidia-Certified Systems, Nvidia-tested and licensed server designs sold exclusively by eight equipment manufacturers, including ASUS, Dell EMC, HPE, and Supermicro. In addition to running AI workloads, GPUs can be used for other vSphere features, such as Multi-Instance GPU, which enables GPU cycles to be shared by many users, and Distributed Resource Scheduler for automated workload placement to prevent performance bottlenecks. "Up to seven VMs can now share a single GPU," Caswell said. "That's a more cost-effective way to deploy at the enterprise

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VIRTUAL SERVER MANAGEMENT

Turkcell Selects Ribbon and Odine to Virtualize Voice Interconnect Services

Ribbon Communications Inc. | March 03, 2022

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