In a world increasingly driven by visual data, AI video analytics has become a cornerstone of intelligent operations – from smart cities and retail to transportation and public safety. The global AI video analytics market is projected to grow from USD 5.04 billion in 2025 Do USD 17.20 billion by 2030, reflecting a 23.35% CAGR.
Analiza wideo has depended on GPU-based processing in the past because object detection and facial recognition and behavior analysis require high computational power. The industry now adopts CPU-based video analytics as a scalable cost-effective solution. It provides energy efficiency for analytics service delivery by telecom operators and ISPs.
Why Use CPU Instead of GPU for AI Video Analytics?
The article “Making the case for GPU-free AI inference: 4 key considerations” states that CPUs remain less expensive than GPUs at the beginning. GPUs often cost ten times more than standard CPUs in similar performance categories. They require less power and cooling which reduces operational expenses for workloads that do not need intense parallel processing.
The basic operation of CPU-based AI video analytics depends on modern multi-core processors and optimized AI inference frameworks. They are used to analyze visual data without needing specialized GPU equipment.
This approach introduces several key technical advantages:
- Skalowalność i elastyczność
CPUs operate as fundamental components which run throughout data centers and edge nodes. The system enables fast deployment across distributed networks. They span from edge devices to regional data centers through the utilization of existing hardware infrastructure. - Cost-Efficient Compute Utilization
GPUs provide outstanding deep learning performance but their initial investment and ongoing operational expenses remain high. The use of CPUs for processing workloads helps organizations minimize their capital expenses and operational costs for existing computing resources. - Edge Readiness and Low Latency
It supports video analytics through CPU-powered gateways or micro data centers which reduces bandwidth usage. As well as it minimizes latency for applications like traffic monitoring and retail analytics. - Interoperability and Cloud-Native Design
The platform operates as a containerized system with microservices architecture which enables smooth integration with Kubernetes environments. The platform enables telecoms and ISPs to deliver analytics through a multi-tenant cloud-native service. It provides elastic scaling and simplified management capabilities.
What Benefits Does AI Video Analytics based on CPU Offer for Telecoms and ISPs?
The business value of CPU-based analytics enables telecoms and ISPs to create Video Analytics as a Service (VAaaS) which represents a fresh service opportunity. Aipix enables operators to generate revenue from their network infrastructure through intelligent analytics. So Telcos and ISPs do not need to purchase specialized hardware or implement complex deployment systems.
- New Revenue Streams for Telecoms and ISPs
Telcos can transform their service offerings by adding Aipix to their portfolio. As it enables them to provide sophisticated analytics solutions to retail and logistics and smart city and security markets thus converting network connectivity into actionable data.
- Lower Barriers to Entry
CPU-based deployments eliminate the requirement for GPU investments which leads to reduced initial costs. The solution allows operators to quickly deploy analytics services which support both small and medium businesses and large enterprises. - Operational Efficiency and ROI
Aipix provides ISPs with centralized management and automated provisioning and scalable architecture that enables them to optimize their current infrastructure for better profit margins through flexible subscription-based analytics solutions for their customers. - Future-Proof Growth
The platform features a modular structure which enables easy addition of new AI models and analytics capabilities. They help telecoms adapt their services to market requirements from basic traffic counting to advanced emotion analysis and safety monitoring and retail behavior insights.
Aipix: Bridging Technology and Business Value
The CPU-based video analytics of Aipix allows telecom operators and ISPs to use their current computing power for delivering scalable intelligent analytics services which operate independently from costly GPU equipment.
The Aipix platform operates as a high-performance multiservice system which enables organizations to execute and control multiple physical security and video analytics applications.
Key Highlights of the Aipix Platform
- High-Performance Multiservice Platform – purpose-built for managing a wide range of physical security and AI-driven video analytics applications.
- CPU-Based Architecture – designed around advanced CPU processing for optimal hardware utilization, cost efficiency, and scalability without reliance on GPUs.
- Massive Scalability – capable of handling up to 5,000 camera streams simultaneously, supporting enterprise-grade and telecom-scale deployments.
- Interoperability – compatible with a wide array of camera models, vendors, and protocols, ensuring seamless integration across existing infrastructure.
- Real-Time Analytics – delivers instant insights through proprietary, in-house–developed AI algorithms optimized for real-time processing.
- Comprehensive AI Capabilities – supports diverse analytics use cases.
- Cost-Effective & Energy Efficient – maximizes the value of existing compute resources while minimizing operational and infrastructure costs.
Example: Face Recognition Deployment Scenario
- Use case: 25 analytics tasks
- Cameras: 25 units, 2MP resolution, 15 fps, Codec H.264/H.265
- Server configuration: 16-core CPU (32 threads / 32 vCPUs), 48 GB RAM, 200 TB SSD (OS storage)
- Virtual machine equivalent: 32 vCPUs, 48 GB RAM, 200 TB SSD
With its flexible deployment options, AI-driven optimization, and service-oriented architecture, Aipix redefines video analytics. Aipix transforms it from a hardware-dependent capability into a scalable, software-defined service model that unlocks new value for telecoms and ISPs.
Unlocking the Power of CPU-Based AI Video Analytics based on CPU with Aipix
In summary, CPU-based video analytics redefines the economics and accessibility of AI-driven vision intelligence. With Aipix, telecoms and ISPs can move beyond connectivity, delivering high-value analytics services that leverage their networks, empower their customers, and drive new growth in the digital economy.
Transform your telecom network into an intelligent, revenue-generating platform with Aipix. Scale AI video analytics across edge and data center environments – without costly GPUs – while delivering real-time insights, operational efficiency, and new monetization opportunities.
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