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DEEPX Unveils Advanced Video Analytics Platform with AmpereOne

DEEPX Unveils Advanced Video Analytics Platform with AmpereOne

Introducing the Next Generation AI Video Analytics

DEEPX has recently unveiled a cutting-edge AI video analytics platform that represents a significant advancement in the world of video management systems (VMS). The platform is designed to push beyond the limitations of conventional GPU-centric architectures, leading the charge in ultra-low-power on-device AI semiconductors.

Breaking Free from Traditional Architectures

This innovative solution combines DEEPX accelerators with Ampere CPUs to introduce a new compute architecture that excels in performance, power efficiency, and cost-effectiveness. As businesses and cities increasingly pivot towards real-time AI analytics, they face challenges inherent in GPU architectures, such as high heat generation and power consumption. The DEEPX platform offers a breath of fresh air, decisively resolving these complications.

Optimized for Modern Video Management

At the heart of this new system is the DX-H1 Quattro AI accelerator, which seamlessly integrates with high-efficiency Ampere CPUs. This pairing is purpose-built specifically to meet the evolving needs of today's video management systems, which demand less storage and more analytical power. As the demand for enhanced real-time insights continues to grow, the DEEPX platform stands at the forefront.

Remarkable Throughput Capabilities

This state-of-the-art solution enables extraordinary analytics throughput. Operationally, a single server equipped with this technology is capable of processing over 200 CCTV camera streams at once, achieving more than 8,000 real-time AI inferences per second. Offering remarkable performance scalability upwards of 400 TOPS, the platform is ideally suited for essential infrastructure like smart cities and industrial control systems.

Efficiency That Changes the Game

One of the key features of the DEEPX platform is its impressive power efficiency. Traditionally, CPU and GPU servers might require more than 1,200W for similar workloads. In contrast, DEEPX's solution operates efficiently within a power range of just 400W to 750W, depending on configuration. This substantial reduction in power requirements translates to significant operational savings, which is critical as AI adoption accelerates.

Capability Across Various Workloads

The DEEPX platform is engineered to handle a wide range of Vision AI applications. From YOLO-based object detection to behavior analysis and real-time RTSP encoding, this solution provides a versatile analytics framework. It also ensures compatibility with major server OEMs and integrates effectively with prominent VMS platforms like Network Optix and ZoneMinder, enabling customers to deploy immediately.

Remarks from Leadership

Lokwon Kim, the CEO of DEEPX, noted, "The intersection of the DX-H1 Quattro and AmpereOne is setting a new standard in the VMS sector. This solution addresses the urgent needs of markets under pressure from rising costs and energy use." Meanwhile, Jeff Wittich, Chief Product Officer at Ampere, emphasized the processors' ability to maintain reliability while managing intensive analytical workloads—key for enterprise-scale deployments.

Future Plans for Deployment

DEEPX is not stopping with the launch; they plan to aggressively initiate deployments targeting the video surveillance sector, expansive smart city projects, and monitoring infrastructures in manufacturing and logistics. The company anticipates introducing this platform to global enterprise customers through various exhibitions, technical webinars, and promotional events, starting in the first half of 2026.

Frequently Asked Questions

What is the new AI video analytics platform by DEEPX?

The platform combines DEEPX accelerators and Ampere CPUs to enable high efficiency and superior performance in video management systems.

How does the DEEPX platform differ from traditional GPU-centric systems?

It eliminates structural issues like high heat generation and power consumption seen in GPU architectures, offering better scalability and cost efficiency.

What kind of workloads can the DEEPX platform handle?

The system supports multiple AI workloads, including object detection, behavior analysis, and more, catering to various industry needs.

What power efficiency does the DEEPX platform achieve?

The platform operates within a power range of 400W to 750W, significantly lowering operational expenses compared to traditional systems.

When will DEEPX start deploying its new platform?

Initial deployments are set for the first half of 2026, with plans for engagement through exhibitions and webinars.

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