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How Aerospace/Defense Can Harness Data with a Well-Designed AI Infrastructure

In this sponsored post, our friends over at Silicon Mechanics discuss how solving mission-critical problems using AI in the aerospace and defense industry is becoming more of a reality. Every day, new technologies emerge that can simplify deployment, management, and scaling of AI infrastructure to ensure long-term ROI. There are several questions to ask yourself to ensure deploying AI workloads, and harnessing the full potential of data, in aerospace/defense is much more plausible and efficient.

The Three Variations of Supercomputing Cloud Technologies

“Cloud computing” is one of the most overloaded terms in the history of information technology.  Yes, there is the NIST Definition of Cloud Computing that many will point to, but the sheer number of adaptations of models for “enabling ubiquitous, convenient, on-demand” access to computing resources knows no limit. In this sponsored post, our friends at Atos provide three major and very different types of issues and found that a common technology thread worked across the board.  In fact, they also learned that while the models are different, organizations often benefit from more than one.

Lenovo HPC Powers SPEChpc™ 2021 with AMD 3rd Generation EPYC™ Processors

As a leader in high performance computing, Lenovo continually supports the Standard Performance Evaluation Corporation (SPEC) benchmarks, that would help customers make better-informed decisions for their HPC workloads. SPEChpc™ 2021 is a newly released benchmark suite from SPEC that produces industry-standard benchmarks for the newest generation of computer systems. What separates SPEChpc™ 2021 from SPEC CPU® 2017, SPEC MPI® 2007 or the other SPEC benchmark suites is that SPEChpc™ 2021 is one-of-a-kind benchmark suite which uses real-world applications that support “multiple programming models and offloading” to evaluate the performance of state-of-the-art heterogenetic HPC systems.

Accelerating the Modern Data Center – Gear Up for AI

Modern applications are transforming every business. From AI for better customer engagement, to data analytics for forecasting, to advanced visualization for product innovation, the need for accelerated computing is rapidly increasing. But enterprises face challenges with using existing infrastructure to power these applications.

Improving AI Inference Performance with GPU Acceleration in Aerospace and Defense

The aerospace/defense industry often must solve mission-critical problems as they arise while also planning and designing for the rigors of future workloads. Technology advancements let aerospace/defense agencies gain the benefits of AI, but it’s essential to understand these advancements and the infrastructure requirements for AI training and inference.

The More You Scale, the Less You Pay … No, Really

Ansys Cloud, the managed cloud service provided by Ansys and enabled on Microsoft Azure, recently announced availability of 3rd Gen AMD EPYC processors with AMD 3D V-Cache with HBv3 virtual machines (VMs). The development unites three powerful catalysts of innovation — chip development, simulation, and cloud computing — to offer a more robust, three-layered approach to computing without on-premises hardware restrictions.

Overcome Form Factor and Field Limitations with AI/HPC Workloads on the Edge

In this sponsored post, our friends over at Silicon Mechanics discuss how form factor, latency, and power can all be key limitations, but find out how key advancements in technology will allow higher performance at the edge. For this discussion, the edge means any compute workloads taking place outside of both cloud and traditional on-prem data centers.

Scalable Inferencing for Autonomous Trucking

In this sponsored post, Tim Miller, Vice President, Product Marketing, One Stop Systems, discusses autonomous trucking and that to achieve AI Level 4 (no driver) in the vehicles, powerful AI inference hardware supporting many different inferencing engines operating and coordinating simultaneously is required.

Two Key Considerations of a Composable Infrastructure Cluster

In this sponsored post, our friends over at Silicon Mechanics indicated that these days, they’re getting a lot of interest from clients about composable disaggregated infrastructure (CDI), including what the most critical elements are for CDI-based clusters. Successful deployments are more likely when clients understand why their design team focuses on certain areas more than others and how design decisions can impact end user experience, so this article outlines some key elements of CDI-based clusters.

It’s a Wrap! We’ll See You at ISC Next Year

[SPONSORED POST] After attending ISC, it’s safe to say that no remote conferencing or communication technology can ever replace the experience of face-to-face human interaction.  It was fantastic to engage directly with our customers and partners, sharing new platform developments and intriguing customer stories.  It is truly inspiring to hear about some of the new initiatives aimed to conquer challenges that seemed insurmountable in previous years.