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New ARM architecture slashes power consumption while expanding real-time analytics and AI capabilities.
COLUMBUS, Ohio - OhioPen -- FacilitySight, an emerging leader of real-time presence analytics and structure intelligence, today announced the successful completion of a major infrastructure upgrade.
Transitioning its core computing environment from traditional x86 servers to high-efficiency ARM-based platforms.
This strategic move represents a significant leap forward in FacilitySight's operational capacity, unlocking substantial performance gains while dramatically reducing energy demands.
Powering a Smarter, Greener Future
By migrating to ARM architecture, FacilitySight has slashed power consumption across its computing stack, aligning its infrastructure with sustainable energy goals while delivering greater efficiency at scale.
Our mission has always been to make data smarter, faster, and more accessible.
Switching to ARM doesn't just make our systems leaner, it empowers them to do more, with less. That's a win for our customers, and a win for the planet.
More on Ohio Pen
Unleashing Next-Generation AI
The move also marks a turning point for FacilitySight's AI-driven analytics and underpinnings. The new ARM-powered environment delivers significantly increased computing capacity, enabling faster model execution, broader data processing, and greater support for upcoming features.
With ARM, we're no longer just tracking what's happening, we're anticipating what comes next.
Resilience and Readiness at the Edge
FacilitySight's transition to ARM also enhances its edge computing capabilities, pushing smarter, real-time decisions closer to where data is generated. This positions the company to better support decentralized environments such as libraries, government facilities, and public venues, where real-time insights are mission-critical.
About FacilitySight
FacilitySight delivers real-time patron analytics, spatial utilization insights, and proactive safety alerting for organizations. With a focus on precision, agility, and privacy, FacilitySight empowers libraries, museums, government buildings, and other environments to better understand and serve their communities.
https://facilitysight.io
Transitioning its core computing environment from traditional x86 servers to high-efficiency ARM-based platforms.
This strategic move represents a significant leap forward in FacilitySight's operational capacity, unlocking substantial performance gains while dramatically reducing energy demands.
Powering a Smarter, Greener Future
By migrating to ARM architecture, FacilitySight has slashed power consumption across its computing stack, aligning its infrastructure with sustainable energy goals while delivering greater efficiency at scale.
Our mission has always been to make data smarter, faster, and more accessible.
Switching to ARM doesn't just make our systems leaner, it empowers them to do more, with less. That's a win for our customers, and a win for the planet.
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Unleashing Next-Generation AI
The move also marks a turning point for FacilitySight's AI-driven analytics and underpinnings. The new ARM-powered environment delivers significantly increased computing capacity, enabling faster model execution, broader data processing, and greater support for upcoming features.
With ARM, we're no longer just tracking what's happening, we're anticipating what comes next.
Resilience and Readiness at the Edge
FacilitySight's transition to ARM also enhances its edge computing capabilities, pushing smarter, real-time decisions closer to where data is generated. This positions the company to better support decentralized environments such as libraries, government facilities, and public venues, where real-time insights are mission-critical.
About FacilitySight
FacilitySight delivers real-time patron analytics, spatial utilization insights, and proactive safety alerting for organizations. With a focus on precision, agility, and privacy, FacilitySight empowers libraries, museums, government buildings, and other environments to better understand and serve their communities.
https://facilitysight.io
Source: FacilitySight
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