Naver Cloud and Intel Partner to Advance AI Chip Tech in S. Korea

In an ambitious move to push the boundaries of artificial intelligence technology, South Korea’s Naver Cloud has entered into a strategic partnership with global semiconductor powerhouse Intel. This collaboration is focused on catalyzing AI chip innovation within the burgeoning South Korean tech industry. The partnership will leverage Intel’s cutting-edge AI accelerator, Gaudi, to build a comprehensive AI chip software ecosystem, with Naver Cloud providing the necessary infrastructure to facilitate research and software development.

This agreement is set to give a significant boost to South Korean startups and academic institutions by connecting them with industry-leading expertise and resources. These joint efforts aim to fast-track the development of AI technologies and accelerate their integration into commercial and industrial applications, forging new pathways for growth and advancement in the tech sector.

Building a Collaborative AI Future

In 2025, the Naver Cloud-Intel-Co-Lab (NICL) is set to launch, marking a key milestone in a collaborative effort to enhance South Korea’s AI prowess. This joint venture will bring together Naver Cloud and around 20 teams from the worlds of academia and startups, including experts from top-tier institutions like KAIST and Seoul National University. They’ll work side by side to advance the country’s AI capabilities.

A major highlight of this collaboration is the testing of Intel’s advanced Gaudi 2 AI accelerator, which is essential for building a commercial cloud platform tailored for AI tasks. Naver Cloud and Intel have ambitions not only to refine Korea’s AI software landscape but also to kickstart economic growth and educational improvements in tech domains. This strategic alliance could make South Korea a formidable force in the AI industry, potentially rivaling major players such as Nvidia.

Explore more

Microsoft Dynamics 365 Finance Transforms Retail Operations

In today’s hyper-competitive retail landscape, success hinges on more than just offering standout products or unbeatable prices—it requires flawless operational efficiency and razor-sharp financial oversight to keep pace with ever-shifting consumer demands. Retailers face mounting pressures, from managing multi-channel sales to navigating complex supply chains, all while ensuring profitability remains intact. Enter Microsoft Dynamics 365 Finance (D365 Finance), a cloud-based

How Does Microsoft Dynamics 365 AI Transform Business Systems?

In an era where businesses are grappling with unprecedented volumes of data and the urgent need for real-time decision-making, the integration of Artificial Intelligence (AI) into enterprise systems has become a game-changer. Consider a multinational corporation struggling to predict inventory shortages before they disrupt operations, or a customer service team overwhelmed by repetitive inquiries that slow down their workflow. These

Will AI Replace HR? Exploring Threats and Opportunities

Setting the Stage for AI’s Role in Human Resources The rapid integration of artificial intelligence (AI) into business operations has sparked a critical debate within the human resources (HR) sector: Is AI poised to overhaul the traditional HR landscape, or will it serve as a powerful ally in enhancing workforce management? With over 1 million job cuts reported in a

Trend Analysis: AI in Human Capital Management

Introduction to AI in Human Capital Management A staggering 70% of HR leaders report that artificial intelligence has already transformed their approach to workforce management, according to recent industry surveys, marking a pivotal shift in Human Capital Management (HCM). This rapid integration of AI moves HR from a traditionally administrative function to a strategic cornerstone in today’s fast-paced business environment.

How Can Smart Factories Secure Billions of IoT Devices?

In the rapidly evolving landscape of Industry 4.0, smart factories stand as a testament to the power of interconnected systems, where machines, data, and human expertise converge to redefine manufacturing efficiency. However, with this remarkable integration comes a staggering statistic: the number of IoT devices, a cornerstone of these factories, is projected to grow from 19.8 billion in 2025 to