Direct trainee station deployment puts the student in the middle of realistic real-world missions “ the next best thing to being there.
Transportable systems are designed to address longevity concerns common in most military applications. Companies who deploy training systems have little control over the hardware once deployed, so suppliers focused on lifecycle management are winning projects with global OEMs distributing PCs to users around the world.
OEMs partnering with the PC’s original design manufacturer (ODM), are committing to hardware selection strategies that balance price, performance, and scalability for critical areas such as CPU, memory, storage, and GPU.
For example, this platform may be deployed to accommodate both commercial and enterprise component options, acknowledging that GPU strategy may vary depending upon the training provider’s product roadmap. Commercial GPUs such as Nvidia®’s GeForce® may be preferred, with updates every 12 months or less; or enterprise-class, such as Quadro® options, may be favored based on an available three-year lifecycle. Ideally, the ODM works directly with the training provider during the software development phase, collaborating to optimize performance and determine specific application features handled by the GPU rather than CPU.
In contrast to facilities where the computer systems are racked and perform behind the scenes, systems in a container-based setting operate directly at the student’s station or as part of the onsite image render system. Because of this, visual appearance matters and directly represents the product image and sophistication of the training provider. Acoustic output is a consideration, as the compute system’s noise level must not distract the trainee from the audio of the training program itself.
In this scenario, system mounting is flexible and may be placed on the back of a display or directly on a student’s workstation. Image render node, networking, and system architecture work together to ensure images and applications are served without latency. Scalability is a factor. The system handles multiple training scenarios; container trucks can be large or small, intended to manage larger or smaller groups of trainees using the same hardware architecture. As a vehicle for training as a genuinely on-demand service, the shipping container can be moved from point to point, either trucked or trailered across land or transported on shipping vessels for less accessible locations. Its transportable design minimizes weight and freight costs and includes advanced component retention that promotes the platform’s stability during transport.
To begin the conversation with Dedicated Computing about bringing immersive LVC training systems to the point-of-need, connect with us engineer-to-engineer or call us at 877.833.4848.
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By tapping into ODM partners focused on smart purchase lifecycles, OEMs can be more effective with intelligent lifecycle management.