Premio Director of Product Marketing Dustin Seetoo joins other industry leaders and engineers in the panel discussion to explain the engineering behind developing smarter, faster, smaller rugged edge computers for harsh industrial settings.
Engineering at the Intelligent Edge
As the new world continues to shift and transform enterprise business landscapes into smarter digital atmospheres, the best computing solutions act on data insights for real-time processing and deliver intelligent results. Especially with faster, power-efficient cores jampacked into smaller nanometer silicon for blazing fast compute power and 5G wireless connectivity on the horizon, the next generation of embedded IoT solutions will consolidate the most complex workloads and enable machine learning for a future of artificial intelligence. On behalf of Premio and our incredible engineers, we welcome our partners to explore product offerings in rugged intelligent computers that provide efficient workload consolidation at the edge for data processing, storage and connectivity.
- A place where intelligent robotics and factory automation comes alive
- A place where machines learn to optimize for better efficiency and productivity on factory floors
- And finally, a place where real-time processing and results drive better business decisions!
Intelligence at the Edge: Six Takeaways from Industry Experts
1. Rugged Computer Design for Successful Remote Edge Deployments.
We swear by our industrial-grade, rugged computer design to withstand harsh usage conditions and deliver ultra-low latency, ultra-reliable edge solutions wherever you may be. Learn more about 5 must-have hardware requirements for rugged edge computing here.
2. Faster Storage Technology for Faster Parallel Compute Capability.
Storage technology is often the limiting factor for real-time parallel computing. Employment of faster storage technology – NVMe – for data-intensive applications is essential to deliver scalable performance and low latency data transfers. Learn more about NVMe.
3. Rugged Edge Computing Drives Better Actionable Insights.
Free from high-latency issues of public cloud, our rugged edge computers expand the benefits to provide low-latency edge services in harsh, unfamiliar locations. Read this case study about how a major U.S. truck manufacturer implemented our rugged computing solutions to further their autonomous routing capabilities.
4. Embedded Computing Gets a Sexy makeover with “Edge Computing” Models.
For over 30+ years, Premio has focused on top-notch embedded design architectures dedicated to low-power consumption, power efficiency, and environmental reliability in the harshest IoT deployments. Learn more about our perspective of edge computing by diving deep into the design principles for “Rugged Edge Computing” and why it matters for embedded architects deploying edge computing solutions here.
5. Unknown Territory: New Requirements for Intelligent Edge Workloads are Forcing Engineers to Design Solutions Outside Standard Comfort Zones.
Our rugged edge computers are purpose-built to deliver incredible fanless performance and withstand the rigors of environmental beatings all day, every day. Learn more about top 5 embedded computing design requirements here.
6. Convergence of the Most Powerful Technologies in Compute, Storage, Wireless Connectivity, with Tested Ruggedization.
The best edge computing solutions act on data insights for real-time processing and deliver intelligent results in real-time. Especially with faster, power-efficient cores jampacked into smaller nanometer silicon for blazing fast compute power and 5G wireless connectivity on the horizon, the next generation of embedded IoT solutions will consolidate the most complex workloads and enable machine learning for a future of artificial intelligence. Explore our rugged edge case studies.
Deploy Industrial-Grade Computers for Rugged Edge and IoT Applications:
One of the key benefits from edge computing is the ability to process data in close proximity to where it’s generated. The ability to collect data but also deliver intelligent results in real-time is shaping new opportunities for many new IoT applications. Some popular use cases are in markets and applications for: AI & Machine learning, Industrial Automation, Robotics, Telematics and Transportation, Metrology and Defect Detection, Surveillance, Smart Retails and Kiosk.