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Enhance Collaboration to Speed Product Development Times in Manufacturing


 In the highly competitive world of manufacturing, organizations are working to streamline the product development process in order to boost profit margins and stay one step ahead of the competition. Many manufacturers are harnessing the power of Big Data to improve business operations across the board, from research and testing to development and delivery. 

Enhance Collaboration to Speed Product Development Times in Manufacturing.jpgToday’s manufacturing companies rely on vast quantities of business and customer data to visualize and modify products before they reach the market. Backed by high-performance computing (HPC) innovation, designers and engineers have the ability to collaborate on projects, test new products, and resolve developmental issues from a variety of disparate locations.

Manufacturers are actively seeking ways to reduce the number of prototypes, which not only shortens the testing phase, but speeds the entire process. Savvy organizations are leveraging HPC solutions to visualize datasets from remote locations in order to close information gaps which limit production speed, security, and accuracy.

Data visualization allows designers and engineers to work with increasingly complex models and simulations, enhancing collaboration between remote workers, optimizing R&D, and speeding time-to-market. Sophisticated tools such as remote visualization are transforming the traditional methods of product development, while rapidly decreasing costs and driving operational efficiencies. Visualization and modeling provide more consistency than tactile prototypes, as complex 2D and 3D models can be manipulated again and again, anywhere, and anytime.

Remote visualization technologies enable users to access valuable data on the server side, which allows multiple users to interact with the same model simultaneously. Manufacturers operating with limited bandwidth can now leverage the scalability and compute power of the cluster, significantly reducing latency and saving time by rendering and visualizing information locally. This platform not only provides accurate models and simulations, but it also empowers organizations to make more information, data-driven decisions. And by remotely accessing data, workers have the ability to employ enormous datasets in real-time and avoid the risks of downloading information to their workstations.

The benefits of remote visualization include:

  • Security: Critical data remains in the data center. Only the pixels from images are transmitted over the network, and    that pixel stream is encrypted.
  • ProductivityRemote access to analytic platforms promotes seamless collaboration and eliminates time spent moving data between remote workstations and the data center. Depending on the number of prototypes created, manufacturers can shave a minimum of two weeks off the development process.
  • Manageability: Remote visualization dramatically simplifies IT workloads, enabling load-balancing, better monitoring capabilities, and better control of application usage.
  • Optimal resource usage: Virtual Desktop Infrastructures (VDIs) with embedded GPUs can share intricate images,    videos, and models across distributed production sites. This optimizes hardware, software and human resources for increased cost savings.

As the manufacturing industry becomes increasingly digitized, HPC technologies are vital to collaboration, productivity, and product development. In order to succeed, organizations must invest in remote visualization technologies to enact the full power of business data, helping them achieve more precise data interpretation, higher quality products, and greater innovation. Those who do will significantly increase time-to-market and ensure competitive advantage.

To learn more about how remote visualization is driving product development, follow me on Twitter at @Bill_Mannel.

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About the Author


As the Vice President and General Manager of HPC and AI Segment Solutions in the Data Center Infrastructure Group, I lead worldwide business and portfolio strategy and execution for the fastest growing market segments in HPE’s Data Center Infrastructure Group which includes the recent SGI acquisition and the HPE Apollo portfolio.