b2b-daily
Home | IT | Cloud

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

Avatar photo
by Maison Edwards
April 16, 2024
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.

Artificial Intelligence

Explore more

How Are A2A Payments Reshaping Global E-Commerce?
July 14, 2026

The traditional dominance of plastic-reliant credit card networks is finally crumbling as a more direct and cost-effective method of moving money begins to dominate the world of global digital commerce. For decades, the invisible architecture of the internet was built upon the foundations of the 1950s, using credit cards as a primary bridge between consumers and vendors. This system worked,

Aptar Unveils Durable Packaging Solutions for E-Commerce
July 14, 2026

The sticky residue of a leaked shampoo bottle pooling at the bottom of a cardboard box has become a familiar, albeit infuriating, ritual for many online shoppers today. This common consumer disappointment often marks the end of brand loyalty, as the unboxing experience—once a moment of high anticipation—transforms into a messy cleanup operation. For beauty and home care brands, ensuring

Intuit Enterprise Suite Delivers AI-Native ERP for Growth
July 14, 2026

The chasm between a mid-market company’s ambitious expansion goals and its actual operational capacity has historically been widened by fragmented software architectures that fail to communicate. While entry-level accounting tools serve their purpose during the early stages of a startup, they often become a liability as complexity increases, leaving finance teams to bridge the gaps with manual spreadsheets and guesswork.

Is macOS 27 Golden Gate More Than Just Apple Intelligence?
July 14, 2026

The launch of the macOS 27 Golden Gate public beta marks a significant evolution in Apple’s long-standing effort to reconcile high-level automation with the granular control required by power users. While the promotional narrative surrounding this release is dominated by the sophisticated capabilities of Apple Intelligence and a revamped Siri, the update offers far more than just a layer of

OpenAI Shifts to Outcome-First Prompting for GPT-5.6 Sol
July 14, 2026

The transition from instructional prompt engineering to a goal-oriented framework represents a seismic shift in how human operators interact with large language models during the current technological cycle. For years, the industry relied on meticulously crafted chain-of-thought instructions to ensure accuracy, but the arrival of GPT-5.6 Sol marks the end of this labor-intensive era. This new architecture prioritizes the final