Introducing DEEPX's Groundbreaking AI Video Analytics on AmpereOne® Platform

DEEPX Unveils Cutting-Edge AI Video Analytics Solution



DEEPX, a prominent player in ultra-low-power AI semiconductors, has made waves with their announcement on December 8, 2025, introducing a next-generation AI video analytics platform. This innovation is engineered to outperform traditional GPU-centric designs—setting a new standard in the industry. The company combines its proprietary DX-H1 Quattro AI accelerator with Ampere's high-performance CPUs, resulting in a new compute architecture that addresses the existing limitations of GPU systems.

A Revolutionary Approach to AI Analytics



The global demand for AI-enhanced video management systems (VMS) is on the rise, largely driven by the transition from merely storing video data to enabling dynamic real-time analyses. DEEPX's new design tackles the challenges faced by conventional systems, such as excessive power consumption, high heat generation, and scalability issues associated with GPU-only infrastructure. In sharp contrast, the DEEPX platform mitigates these inefficiencies, marking a significant shift towards a more robust video analytics solution.

With AmpereOne® CPUs swiftly decoding hundreds of high-resolution CCTV streams, the DX-H1 Quattro is dedicated to high-density AI inference, allowing for impressive throughput. Capable of analyzing over 200 cameras simultaneously and processing more than 8,000 real-time AI inferences per second, the platform shines in mission-critical applications like smart city infrastructure, video surveillance for logistics, and industrial control systems.

Powering Up with Efficiency



Traditional server systems that rely on both CPU and GPU often demand upwards of 1,200W for similar workloads. In stark contrast, the DEEPX platform maintains a significantly lower power draw, ranging from 400W to 750W, depending on the configuration. This substantial reduction presents a compelling argument for organizations striving to lower operational costs associated with continuous monitoring, especially as the demand for deployed AI solutions grows worldwide. AmpereOne® architecture excels at delivering exceptional decoding capabilities with minimal heat generation, allowing a single server to fulfill the role previously requiring multiple racks of GPU hardware.

Equipped to manage a broad array of Vision AI responsibilities—including YOLO-based object detection, behavior analysis, CLIP-driven semantic searches, and real-time RTSP encoding—the DEEPX solution offers cohesive analytics from edge devices to large-scale data centers. Furthermore, it ensures seamless integration with mainstream server manufacturers, including ASRock Rack, NEXT Computing, Gigabyte, System76, and Supermicro, as well as compatibility with popular VMS platforms like Network Optix and ZoneMinder.

Vision for the Future



Lokwon Kim, the CEO of DEEPX, remarked on this groundbreaking platform: "The union of DX-H1 Quattro and AmpereOne® is setting a new paradigm in the global VMS sector. This platform addresses the pressing needs of markets experiencing significant cost and power constraints." Additionally, Ampere's Chief Product Officer, Jeff Wittich, attested, "Engineered for high-efficiency analytics workloads, Ampere processors are ideal for clients looking to establish secure and reliable video infrastructure across diverse deployment environments—from large enterprises to compact edge-based systems."

Looking Ahead



DEEPX has plans to expedite its initial platform deployments across sectors such as video surveillance and large-scale smart city initiatives, along with monitoring infrastructure for manufacturing and logistics. The introduction of this innovative technology is set to roll out to global enterprise customers starting in the first half of 2026. This will be facilitated through various international exhibitions, technical webinars, and roadshows—demonstrating DEEPX's dedication to driving advancements in video analytics.

In a world increasingly shaped by AI, DEEPX emerges as a trailblazer, affirming its commitment to efficiency, scalability, and innovation in the realm of AI video analytics.

Topics Consumer Technology)

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