에퀴닉스가 16일 2025년 한국 비즈니스와 기술 분야를 주도할 5가지 기술 인프라 트렌드를 발표했다.
에퀴닉스는 디지털 비즈니스의 미래를 형성할 5가지 기술 트렌드로 △프라이빗 AI △사이버 보안 △엣지 컴퓨팅 △하이브리드 멀티클라우드 △고성능 데이터센터 서비스를 제시했다.
Introducing infrastructure trends changing with AI
“Advanced technology, minimizing environmental impact”
On the 16th, Equinix announced five technology infrastructure trends that will lead the Korean business and technology sectors in 2025.
Equinix has identified five technology trends that will shape the future of digital business: private AI, cybersecurity, edge computing, hybrid multicloud, and high-performance data center services.
“Leading companies in various industries and digital fields are actively seeking to transform to fully utilize the potential of new technologies while seeking business growth amidst the accelerating advancement of technology,” said Jang Hye-deok, Equinix Korea Country Manager. “At the same time, as domestic companies’ interest in sustainability grows, methods to minimize the environmental impact of the introduction of cutting-edge technologies are increasingly being emphasized.”
■ Private AI infrastructure integration trend In the area of AI service deployment, which has been facilitated by the availability of large-scale language models (LLMs) supported by existing public clouds, infrastructure tailored to the characteristics of each AI workload, such as private data, is emerging.
This 'Model To The Data' approach sends user queries and associated data to a model on the public cloud for processing. Instead, deploying AI models on private computing infrastructure that is physically close to end users and adjacent to the company’s own data storage provides companies with privacy, speed, and cost advantages.
First, in terms of privacy, more and more companies are adopting private AI infrastructure deployment methods to fully control sensitive data, such as fraud prevention systems in banks that utilize financial records, or to comply with national data sovereignty requirements. In this way, private AI is expected to be effective for companies that want to train customized models with their own data.
Additionally, deploying AI infrastructure in a colocation data center close to end users can reduce latency and, in terms of cost structure, can reduce costs in private infrastructure, especially for mature AI services that require continuous large-scale data transfer between users and models.
■ AI·quantum technology development, strengthening cyber security Quantum computing poses serious risks to core elements of today's public key infrastructure, and could potentially break current levels of encryption in minutes.
To counter these threats, quantum cryptography and generative AI tools are becoming essential components of enterprise cybersecurity strategies. For example, Quantum Key Distribution as a Service (QaaS), which enables Internet access to quantum key distribution (QKD) technology, provides strong protection for a company's private network, ensuring secure communications and data integrity.
Equinix announced that it is supporting enterprises’ quantum leap through partnerships with SK Telecom, Quintessence Labs, Toshiba, and BT.
■ Strengthening data sovereignty by utilizing edge computing As awareness of data sovereignty increases, edge computing infrastructure is beginning to emerge. Edge computing, which enables local data processing, is attracting attention from corporate IT leaders as it reduces risks in data transmission and can comply with data sovereignty laws of various countries in the Asia-Pacific region.
According to Gartner's report, "Building an Edge Computing Strategy," the percentage of large enterprises documenting their edge computing strategies is expected to increase from less than 10% in 2023 to 70% by the end of 2026.
In Korea, strict data sovereignty policies have been implemented to protect citizens’ data. A representative example is the Cloud Security Certification (CSAP), which requires cloud service providers to meet specific security and domestic standards. This movement is expected to further increase the need for localized data processing solutions, such as edge computing for compliance and secure data processing.
■ Hybrid Multi-Cloud Many enterprises are adopting a hybrid multicloud approach that combines the agility of public cloud services with the benefits of private cloud infrastructure.
Hybrid multicloud represents a benchmark for enterprises seeking to optimize their IT infrastructure to take advantage of the benefits of public and private clouds.
■ Increase in high-performance data centers As AI adoption accelerates across industries, demand for advanced, high-performance solutions to support compute-intensive workloads is also rapidly increasing. Cutting-edge cooling technologies, particularly liquid cooling, are gaining attention as a key element of this change.
Liquid cooling is helping data centers efficiently handle AI and high-density computing while optimizing energy usage and reducing operating costs.
In Korea, both the government and companies are expanding their investment in next-generation infrastructure in line with the rapid growth of AI. There is a movement to implement cooling solutions using seawater thermal energy in Chuncheon, Ulsan, and other places, and companies are
are at the forefront of developing innovative solutions to meet the demands of increasingly complex workloads.