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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.

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.

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.

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.

System Design Decisions to Achieve Faster Results in Drug Discovery

When it comes to drug discovery, research is everything. The ability to accelerate research can make or break a business and, of course, save lives. However, key design considerations in HPC infrastructure design can make a dramatic difference in performance and maximize your cluster’s value. How do you maximize HPC/AI performance? We recommend you start by using commodity off the shelf (COTS) components and best-of-breed technologies from trusted partners. This lets you get more nodes for your money. This also avoids the problem of vendor lock-in, and the associated risk of being trapped into higher prices without the corresponding improvement….

Solving AI Cluster Design Challenges with a Building Block Approach

[SPONSORED POST] When considering a large complex system, such as an AI cluster, supercomputer, or compute cluster, you may think you only have two options—build from scratch from the ground up, or buy a pre-configured, supercomputer-in-a-box from a major technology vendor that everyone else is buying. But there is a third option that takes a best-of-both-worlds approach. This gives you “building blocks” expertly designed around network, storage, and compute configurations that are balanced, but also flexible enough to provide scalability for your specific project needs.

insideHPC Guide to Composable Disaggregated Infrastructure (CDI) Clusters – Part 3

[SPONSORED POST] This technology guide, “insideHPC Guide to Composable Disaggregated Infrastructure (CDI) Clusters,” will show how the Silicon Mechanics Miranda CDI Cluster™ reference architecture can be a CDI solution blueprint, ideal for tailoring to specific enterprise or other organizational needs and technical issues. The guide is for a technical person, especially those who might be a sys admin in financial services, life sciences or a similarly compute-intensive field. This individual may be tasked with making CDI work with a realizable ROI or just finding a way to extend the value of their IT investment while still meeting their computing needs.

insideHPC Guide to Composable Disaggregated Infrastructure (CDI) Clusters – Part 2

[SPONSORED POST] This technology guide, “insideHPC Guide to Composable Disaggregated Infrastructure (CDI) Clusters,” will show how the Silicon Mechanics Miranda CDI Cluster™ reference architecture can be a CDI solution blueprint, ideal for tailoring to specific enterprise or other organizational needs and technical issues. The guide is for a technical person, especially those who might be a sys admin in financial services, life sciences or a similarly compute-intensive field. This individual may be tasked with making CDI work with a realizable ROI or just finding a way to extend the value of their IT investment while still meeting their computing needs.

insideHPC Guide to Composable Disaggregated Infrastructure (CDI) Clusters

[SPONSORED POST] This technology guide, “insideHPC Guide to Composable Disaggregated Infrastructure (CDI) Clusters,” will show how the Silicon Mechanics Miranda CDI Cluster™ reference architecture can be a CDI solution blueprint, ideal for tailoring to specific enterprise or other organizational needs and technical issues. The guide is for a technical person, especially those who might be a sys admin in financial services, life sciences or a similarly compute-intensive field. This individual may be tasked with making CDI work with a realizable ROI or just finding a way to extend the value of their IT investment while still meeting their computing needs.

insideHPC Guide to Composable Disaggregated Infrastructure (CDI) Clusters

This technology guide will show how the Silicon Mechanics Miranda CDI Cluster™ reference architecture can be a CDI solution blueprint, ideal for tailoring to specific enterprise or other organizational needs and technical issues.