Central and Eastern Europe (CEE) is quickly gaining recognition as one of the world’s most important rising technology ecosystems. A highly skilled workforce, government support, proximity to key markets, and a history of entrepreneurship are all factors that have led to a significant increase in funding to the region over the past several years. In turn, the increase in funding has led to dozens…
]]>Learning about new technologies can sometimes be intimidating. The NVIDIA edge computing webinar series aims to present the basics of edge computing so that all attendees can understand the key concepts associated with this technology. NVIDIA recently hosted the webinar, Edge Computing 201: How to Build an Edge Solution, which explores the components needed to build a production edge AI…
]]>Join us on August 11 to learn how to design edge deployments for future-proof scale, best practices for optimizing multiple deployments on edge systems, and tips for remotely repairing systems and applications.
]]>Join us September 19–22 for a deep dive into the latest advances in edge AI, from reimagined shopping experiences to industrial automation.
]]>Smart spaces are one of the most prolific edge AI use cases. From smart retail stores to autonomous factories, organizations are quick to see the value in this innovative technology. However, building and scaling a smart space requires many different pieces of technology, including multiple applications. Operating multiple applications at edge locations can be tricky. To do this…
]]>A recent poll during the Edge Computing 101 webinar revealed that many IT professionals interested in edge AI are still just learning the basics about the technology and considerations for production deployments. One key consideration for production edge AI is how administrators will manage ongoing maintenance for applications and systems post-deployment, sometimes referred to as Day-2…
]]>The convergence of AI and IoT has shifted the center of gravity for data away from the cloud and to the edge of the network. In retail stores, factories, fulfillment centers, and other distributed locations, thousands of sensors are collecting petabytes of data that power insights for innovative AI use cases. Because the most valuable insights are generated at the edge…
]]>Sign up for Edge AI News to stay up to date with the latest trends, customers use cases, and technical walkthroughs. Cloud-native is one of the most important concepts associated with edge AI. That’s because cloud-native delivers massive scale for application deployments. It also delivers performance, resilience, and ease of management, all critical capabilities for edge AI.
]]>With the convergence of IoT and AI organizations are evaluating new ways of computing to keep up with larger data loads and more complicated use cases. For many, edge computing provides the right environment to successfully operate AI applications ingesting data from distributed IoT devices. But many organizations are still grappling with understanding edge computing.
]]>Building production-ready AI applications is hard, especially when starting from scratch. That’s why NVIDIA created Metropolis, a suite of tools to help developers build and bring to market vision AI applications. Deploying these applications in production, especially outside of the data center, can be just as difficult. For many organizations, determining the best way to deploy an…
]]>The nature of edge deployments means that they are always on, sometimes running 24/7 in a different time zone than the IT administrators. So when a system experiences a bug or major issue, IT is required to travel to the edge site and debug the system. Sometimes this happens in the middle of the night. Even when teams have the foresight to set up tools in place to allow for remote access…
]]>NVIDIA Fleet Command is a cloud service that securely deploys, manages, and scales AI applications across distributed edge infrastructure. Since Fleet Command launched in July, several significant milestones have been achieved and are showcased at NVIDIA GTC. New features are constantly added to Fleet Command. In addition to making the platform more robust and secure…
]]>Approximately 1 billion video cameras—the ultimate Internet of Things (IoT) sensors—have been deployed throughout the world’s cities and spaces to help us live better and safer. Optimizing AI-enabled video analytics is critical for frictionless retail, streamlined inventory management, traffic engineering in smart cities, optical inspection on factory floors, patient care in healthcare facilities…
]]>Advanced warehouses process up to hundreds-of-thousands of orders a day. Fulfilling these quantities requires a lot of inventory, physical space, and complex workflows to support the high volume of items picked. In addition, micro-fulfillment centers are becoming increasingly popular to fill same-day delivery orders from customers. Operating these types of advanced facilities and…
]]>Editor’s note: Interested in GPU Operator? Register for our upcoming webinar on January 20th, “How to Easily use GPUs with Kubernetes”. In the last post, we looked at how the GPU Operator has evolved, adding a rich feature set to handle GPU discovery, support for the new Multi-Instance GPU (MIG) capability of the NVIDIA Ampere Architecture, vGPU, and certification for use with Red Hat OpenShift.
]]>The only thing more impressive than the growth of IoT in the last decade is the predicted explosive growth of IoT in the next decade. Up from 46 billion in 2021, ARM predicts one trillion IoT devices will be produced by 2035. That’s over 100 IoT devices for every person on earth. The impact of this growth is amazing. As these devices continue to become smarter and more capable…
]]>Kubernetes is an open-source container-orchestration system for automating computer application deployment, scaling, and management. It’s an extremely popular tool, and can be used for automated rollouts and rollbacks, horizontal scaling, storage orchestration, and more. For many organizations, Kubernetes is a key component to their infrastructure. A critical step to installing and scaling…
]]>Edge computing has been around for a long time, but has recently become a hot topic because of the convergence of three major trends – IoT, 5G, and AI. IoT devices are becoming smarter and more capable, increasing the breadth of applications that can be deployed on them and the environments they can be deployed in. Simultaneously, recent advancements in 5G capabilities give confidence that…
]]>Editor’s note: Interested in GPU Operator? Register for our upcoming webinar on January 20th, “How to Easily use GPUs with Kubernetes”. Reliably provisioning servers with GPUs in Kubernetes can quickly become complex as multiple components must be installed and managed to use GPUs. The GPU Operator, based on the Operator Framework, simplifies the initial deployment and management of GPU…
]]>Editor’s note: Interested in GPU Operator? Register for our upcoming webinar on January 20th, “How to Easily use GPUs with Kubernetes”. Reliably provisioning servers with GPUs can quickly become complex as multiple components must be installed and managed to use GPUs with Kubernetes. The GPU Operator simplifies the initial deployment and management and is based on the Operator Framework.
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