NetApp, a global, cloud-led, data-centric software company, announced that NetApp EF600 all-flash NVMe storage combined with the parallel file system is now certified for NVIDIA DGX SuperPOD. The new certification simplifies artificial intelligence (AI) and high-performance computing (HPC) infrastructure to enable faster implementation of these use cases. Since 2018, NetApp and NVIDIA have served hundreds of customers with a range of solutions, from building AI Centers of Excellence to solving massive-scale AI training challenges. The qualification of NetApp EF600 and BeeGFS file system for DGX SuperPOD is the latest addition to a complete set of AI solutions that have been developed by the companies. "The NetApp and NVIDIA alliance has delivered industry-leading innovation for years, and this new qualification for NVIDIA DGX SuperPOD builds on that momentum," said Phil Brotherton, Vice President of Solutions and Alliances at NetApp.

Mike McNamara is a senior leader of product and solution marketing at NetApp with 25 years of data management and data storage marketing experience. Before joining NetApp over 10 years ago, Mike worked at Adaptec, EMC and HP. Mike was a key team leader driving the launch of the industry's first cloud-connected AI/ML solution (NetApp), unified scale-out and hybrid cloud storage system and software (NetApp), iSCSI and SAS storage system and software (Adaptec), and Fibre Channel storage system (EMC CLARiiON). In addition to his past role as marketing chairperson for the Fibre Channel Industry Association, he is a member of the Ethernet Technology Summit Conference Advisory Board, a member of the Ethernet Alliance, a regular contributor to industry journals, and a frequent speaker at events. Mike also published a book through FriesenPress titled "Scale-Out Storage - The Next Frontier in Enterprise Data Management", and was listed as a top 50 B2B product marketer to watch by Kapos.

The edge is an end point where data is generated through some type of interface, device or sensor. Keep in mind that the technology is nothing new. But in light of the rapid innovations in a myriad of categories, the edge has become a major growth business. "The edge brings the intelligence as close as possible to the data source and the point of action," said Teresa Tung, who is the Managing Director at Accenture Labs. "This is important because while centralized cloud computing makes it easier and cheaper to process data at scale, there are times when it doesn't make sense to send data off to the cloud for processing."

Edge computing technology with distributed network performing computation and data storage near the ... [ ] user instead of in the cloud, internet service for IoT, gamelets and AI recognition, concept The edge is an end point where data is generated through some type of interface, device or sensor. Keep in mind that the technology is nothing new. But in light of the rapid innovations in a myriad of categories, the edge has become a major growth business. "The edge brings the intelligence as close as possible to the data source and the point of action," said Teresa Tung, who is the Managing Director at Accenture Labs. "This is important because while centralized cloud computing makes it easier and cheaper to process data at scale, there are times when it doesn't make sense to send data off to the cloud for processing."

AI Daily Roundup starts today! We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence, Machine Learning, Robotic Process Automation, Fintech and human-system interactions. We will cover the role of AI Daily Roundup and their application in various industries and daily lives. Global, cloud-led, data-centric software company NetApp unveiled a groundbreaking serverless and storageless solution for containers from Spot by NetApp, new autonomous hybrid cloud volume platform, and cloud-based virtual desktop solutions.

While AI deployments are picking up steam, challenges to success, both technical and cultural, abound. One of the biggest challenges is the lack of alignment among the three pillars of enterprise AI success: business users who are closest to the data, data engineers charged with keeping the data pipes open, and data scientists who make AI work. This lack of alignment typically means that data science teams find themselves "boiling the ocean" without a clear scope, while data engineers don't know what data sets to focus on – which can lead to very disappointing results for AI projects. Only by aligning these groups around a standard data science methodology can consistent AI success be achieved. Business leaders who came out of school 15 or more years ago were never trained to take advantage of big data.

NetApp the leader in cloud data services, today introduced Project Astra, a vision for a software-defined platform that is currently in development with the Kubernetes community. Project Astra will deliver the industry's most robust, easy-to-consume, enterprise-class storage and data services platform for Kubernetes that enables both application and data portability for stateful applications. Although companies everywhere are rapidly adopting Kubernetes, many organizations lack reliable data and application services, and have difficulty making application data as portable as the applicationsthemselves arein Kubernetes. Yet to meet the standards that CIOs expect, IT teams and site reliability engineers must find a way to store, govern, protect, and replicate the data for both stateless and stateful cloud-native applications with enterprise-class cloud storage and data services. Project Astra is being purpose-built for and in collaboration withKubernetes developers and operations managers to help bridge the fundamental gap that exists between the popularity of containers today,the capabilities and user experience they require, and their ability to deliver true, comprehensive portability.

Data storage, processing and management are critical now as most activities worldwide move online during coronavirus lockdowns. Migration to the cloud was happening even before this crisis but now, organizations are depending on cloud services more than ever. Whether it is working from home or streaming videos from Netflix, these services are underpinned by software and hardware on the cloud. Although there may be a reduction of cloud usage as airlines and others see business dwindle, the dominant theme in these times is digitalization. The best-known cloud infrastructure providers are Amazon, Google and Microsoft.

Over half of NHS Trusts (52%) are already deploying artificial intelligence (AI) technologies, with 20% of them using them for clinical care, and 16% using them for clinical diagnosis, a Freedom of Information request has revealed. The data was obtained by a Freedom of Information request from cloud data services provider NetApp, with 61 Trusts responding, after the UK Government announced its investment in AI in the National Health Service (NHS). The request asked Trusts around their current and future use of AI-related technologies to deliver health services, and how mature their data infrastructures are in delivering successful AI projects. George Kurian, NetApp CEO and president, said: "Artificial intelligence has limitless potential in healthcare services and it's encouraging to see the technology being used in half of NHS Trusts. As healthcare moves towards preventative treatment and personalised medicines, artificial intelligence leaders in the NHS have a complex challenge to break through cultural and organisational barriers when it comes to providing healthcare professionals the access to data they require. "Progress is being made and the further deployment of AI-powered technologies – such as speech recognition and machine learning – will alleviate pressure on staff, accelerate innovation and reduce costs.

Academia, hyperscalers and scientific researchers have been big beneficiaries of high performance computing and AI infrastructure. Yet businesses have largely been on the outside looking in. NVIDIA DGX SuperPOD provides businesses a proven design formula for building and running enterprise-grade AI infrastructure with extreme scale. The reference architecture gives businesses a prescription to follow to avoid exhaustive, protracted design and deployment cycles and capital budget overruns. It's available as a consumable solution that now integrates with the leading names in data center IT -- including DDN, IBM, Mellanox and NetApp -- and is fulfilled through a network of qualified resellers.