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Technical Articles & Industry Trends
Deep learning is perhaps the greatest advancement in the world of Artificial Intelligence (AI) in the last few decades. The range of use cases for deep learning are wide and exponentially growing. Especially in the field of manufacturing, which already sees vast benefits from machine learning, deep learning's predecessor. Teguar is a leader in computers designed for manufacturing, with a proven track record of delivering high-quality and innovative solutions for diverse clients and projects. Moreover, Teguar is always striving to meet the leading tech needs of its customers. This article will illuminate how Teguar is enabling the smart factory by providing optimal solutions for AI and deep learning in manufacturing.
Regardless of whether a manufacturer needs a device to complete deep learning enabled inference on the edge, or they need to collect data via an interconnected embedded device, a few product requirements must be met in order for a solution to be successful.
The major key requirements that an optimal deep learning manufacturing solution possesses are:
In order to perform deep learning tasks successfully, a manufacturing device must be enabled to do so with a piece of hardware designed for AI, otherwise known as an AI accelerator. Teguar has multiple devices built for smart factory use that can come with NVIDIA GPUs, in full small and on-chip sizes, which are regarded as some of the best accelerators on the market due to their Tensor Core Technology. In addition, in order for deep learning models to run effectively, a powerful, latest gen CPU must be in the solution. Teguar is constantly updating its products to include the latest Intel CPUs in order to best equip its solutions for intense processing applications such as deep learning AI.
Deep learning and AI work to help analyze and give insight to the world around us. Therefore, each AI system must have some input from the world. For manufacturing use, this input will mainly be floor attributes such as images of the assembly line or working data, such as temperature or product images. Teguar units come equipped with a wide range of I/O options that can support multiple types of inputs in multiple types of environments. Customization options are also available to fully optimize the unit to its environment.
As deep learning models continue to see more potential use cases for complex tasks, the models themselves will also get more complex and larger. In addition, if inference is being run locally, a large amount of storage will be needed. Teguar solutions are equipped with options up to 1TB M.2 support with expansion options for whatever a project might require.
With deep learning, inference can either be performed on the edge or performed elsewhere such as in the cloud or on an onsite data center. Edge inferencing is often the better option for deep learning manufacturing applications, but for larger projects, it may be more cost effective to send the data offsite or build your own center. Regardless, having a unit that has flexible connectivity options such as Wi-Fi, 5G, or ethernet is crucial to smart factory operations.
The world of AI and deep learning undergoes rapid and constant change so purchasing a solution with the guarantee of top-notch product support is paramount to long-term success as products need to be altered or quickly fixed. As deep learning can be pretty intensive on a device, possessing a product with a good warranty ensures peace of mind and smooth operations if something does go wrong. Teguar understands this and offers a standard 12-month warranty for all of its products as well as extended warranty options for most. All customer support is completed in Teguar's Charlotte headquarters which ensures quality and efficiency.
Finally, and perhaps most importantly, deep learning solutions must be able to operate in tough manufacturing environments. Features such as passive cooling, vibration and shock resistance, dust resistance, and mount ability all come standard in most Teguar devices. Additional cooling options for higher powered, GPU intensive applications are also available.
The solutions below meet all the necessary requirements listed above and are ready for deep learning applications and use in a smart factory. Teguar is continuing to explore and develop AI solutions as well as integrate AI into our business processes. Please reach out to using the form below or start a chat on our website to find out how Teguar can enable your deep learning project.
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