Eagle-Lanner tech blog


Many businesses and organizations around the world depend on mission-critical, enterprise storage systems to provide super-high availability and predictable high performance. Performance, scalability, and cost of ownership are all extremely important, especially when it comes to resiliency and power, and space efficiency. The ever-increasing amount of microservices to support containerized and virtualized apps spread across data centers is especially taxing to the CPUs. NVIDIA BlueField is a family of data processing units that combines general-purpose CPUs with field-programmable gate arrays (FPGAs) to optimize data center applications, including network security. The DPU is used to offload, accelerate, and secure data-center infrastructure services, so that CPUs and GPUs are more available to focus on running and processing large volumes of other workloads, like AI and other data center applications.

The new connected world requires wireless connectivity everywhere you go – whether it is at home, on the go, or at work. The rapid increase in the volume of data, plus the need to process said data in multiple places – at the endpoint, the edge, and in the cloud – has created a challenge and made faster movement of data a priority. We have discussed previously how Open RAN provides Communications Service Providers (CSPs) more choice and flexibility to efficiently and cost-effectively deploy their radio networks, let's further explore the abilities of accelerator cards.

Nowadays, private 5G is not only for telecommunication networks, it is an integrated solution including networks, cloud computing, edge computing, and application platforms. For vertical industries, deploying both a private 5G network and a multi-access edge computing (MEC) solution is a suitable option to accelerate the process of digital transformation. Private 5G network provides security, speed, scalability, and stability required to process data efficiently. Edge computing further supports latency-sensitive industrial applications enabling time-sensitive data to be processed quickly at the edge.

The railway industry has been an essential part, used as a means of transportation for passengers or to carry freight, of every country in the world, some call it the economic backbone of every country. When we talk about digital transformation in the railway sector, we usually think of e-ticket machines, passenger information displays, and onboard connectivity aka passenger Wi-Fi, however technological advancements in the rail industry have increased system interconnections, signaling systems, train control systems, and telemetry.

Automotive Ethernet is a new physical layer standard, adapted and meets the needs of automotive use cases, including meeting electrical requirements (EMI/RFI emissions and susceptibility), bandwidth requirements, latency requirements, synchronization, and network management requirements. It enables high baud rate communications and offers high immunity, reduced cabling, and high-speed data rates, capable of automotive electromagnetic compatibility and immunity requirements in automotive conditions.

The increased proliferation of the Internet of Things (IoT) continues to evolve and drive the promise of a connected world, from connected factories to connected office spaces to connected vehicles. Connecting vehicles continues to grow rapidly, and generates an enormous volume of data, and when this data is harnessed and analyzed, it presents a remarkable opportunity to make vehicles more efficient and roads safer, but one of the challenges is still limited to network capacity. A possible solution is multi-access edge computing (MEC), which can lower latency, offering massive bandwidth for processing and improves data transmission between vehicles and road infrastructure, reducing lag for critical decision making.

With a steadily growing world population, increasing agricultural production, while also dealing with labor shortages and demand for eco-friendly nutritious products is a challenge farmer and the agriculture industry is currently facing. Farm automation, or “smart farming,” uses a variety of fine-tuned calibrations and tech innovations in traditional farming that makes farms more efficient, optimizes crop or livestock production process and improves product quality.

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