I often think I came into the triathlon training a little too late. A lot of the competitors start well in their teens. When I finally decided to dedicate my mind and body to this sport, little did I know, it would one day grow into a larger part of my life, from a personal goal to a team effort - to a dream come true.
A Turnkey Solution: SaaS-In-Chip
Allxon takes Out-Of-Band (OOB) management one step further – combining SaaS services with OOB technology – to keep remote edge AI management centralized, customizable, and scalable.
Managing Edge AI in Smart Farms with Buildable Out-Of-Band Features
Gone are the days we speak of the countryside as a rural location with little to no network reception. The grand expansion of AI/IoT has even the tiniest of seedlings to the largest of cattle living amongst technology. But how exactly does the ecosystem work and why is remote edge management so fundamental?
Taking It One Step Further: SaaS-In-Chip
With Allxon’s utmost commitment to making remote device management easy, efficient, and customer-focused, we have taken it one step further and pioneered the concept of SaaS-In-Chip.
MSP Managing Edge AI: the Collective Effort in Saving Our Planet
Allxon drives a low carbon economy with Out-Of-Band power cycling tools and Over-The-Air updates.
How Important Is Cyber Security at the Edge?
Allxon x Trend Micro™ advances in all-round support and protection for AI/IoT and edge devices.
The Driving Force Behind Seamless Smart Parking Operations: Instant Edge AI Solutions
Allxon provides instant Over-The-Air AI model updates and mass deployment solutions to accelerate smart parking operations.
Managing Edge AI Projects on a Large Scale
In this technological era, billions of IoT devices are being connected to the internet, with data expected to be processed at breakneck speed. Edge AI has afforded us with low latency, high privacy, and the effective use of network bandwidth for smarter and more effective ways to manage across systems and solve business problems. But how exactly does edge AI work? And what are some of the concerns System Integrators (SI) and Managed Service Providers (MSP) have when it comes to managing large-scale edge AI?