NEXCOM, a leading supplier of network appliances, has been selected to be part of 2021 Titanium Level in Intel Network Builders Winners' Circle Program. In addition, earlier this year NEXCOM's high-performance cyber security and edge computing appliance – NSA 7150 – has been verified as Intel Select Solution for Network Function Virtualization Infrastructure (NFVI). Both of these achievements strengthen NEXCOM's partnership with Intel. Insights: TrustNFT: Is NFT The Future Of Finances? The Intel Network Builders Winner's Circle Program screens over hundreds of applications from hardware and software companies to form an ecosystem partners with the best offers of network solutions.

Video content will become richer and more data-intensive as it evolves from HD to 4K to 360 and even 8K. Companies are moving these visual workloads to the cloud and edge in order to keep up with capacity, growth and service demands. With the emergence of edge computing and cloudified, 5G networks, organizations have an opportunity to deliver insights through artificial intelligence (AI) that complement new user experiences and are adaptable to the complexities of delivering video content to a global audience. Companies need a visual cloud and media analytics platform that is flexible enough to support changing business models and deployment options, software that enables rapid innovation, and hardware that can scale to provide a range of performance, all while being able to lower total cost of ownership and grow profitability. Intel launched the Intel Select Solutions for Visual Cloud to give companies an easier path towards successful content creation and delivery starting with the Intel Select Solution for Simulation and Visualization and Intel Select Solution for Visual Cloud Delivery Network.

Training an effective deep neural network is one thing, but deploying it in a way that keeps up with customer demand and is both performant and cost-efficient is hard. We've combined a heavily optimized software stack with deep learning-enabled hardware to fix that. There's an exciting change in the mix of problems that machine learning folks talk about. Teams have found their groove with data management and model training, and now have rapidly expanding user-bases. Of course, as great as it is to see your user graph go vertical, success comes with new problems.

According to IDC, over half of the world's data was created in the last two years, yet less than two percent has been analyzed.1 This untapped data represents a potential treasure trove for enterprises which seek more comprehensive business intelligence, improved business process, and innovative ways to remain ahead of their competitors. While high performance data analytics (HPDA), simulation and modeling, visualization, and other HPC workloads offer substantial business value on their own, augmenting those workloads with artificial intelligence (AI) derives even more benefit for a corporation. Financial institutions use AI to detect fraud real-time. Energy companies can more easily interpret ground-penetrating scans to pinpoint underground fossil fuel reserves, minimizing the impact on the surrounding environment.