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IBM Introduces Granite 3.0: High Performing AI Models Built for Business

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2 years ago

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New Granite 3.0 8B & 2B models, released under the permissive Apache 2.0 license, show strong performance across many academic and enterprise benchmarks, able to outperform or match similar-sized modelsNew Granite Guardian 3.0 models deliver IBM’s most comprehensive guardrail capabilities to advance safe and trustworthy AINew Granite 3.0 Mixture-of-Experts models enable extremely efficient inference and low latency, suitable for CPU-based deployments and edge computingNew Granite Time Series model achieved state-of-the-art performance in zero/few-shot forecasting, outperforming models 10 times largerIBM unveils next generation of Granite-powered watsonx Code Assistant for general purpose coding; Debuts new tools in watsonx.ai for building and deploying AI applications and agentsAnnounces Granite will become the default model of Consulting Advantage, an AI-powered delivery platform used by IBM’s 160,000 consultants to bring new solutions to clients faster

ARMONK, N.Y., Oct. 21, 2024 /PRNewswire/ — Today, at IBM’s (NYSE: IBM) annual TechXchange event the company announced the release of its most advanced family of AI models to date, Granite 3.0. IBM’s third-generation Granite flagship language models can outperform or match similarly sized models from leading model providers on many academic and industry benchmarks, showcasing strong performance, transparency and safety.

Consistent with the company’s commitment to open-source AI, the Granite models are released under the permissive Apache 2.0 license, making them unique in the combination of performance, flexibility and autonomy they provide to enterprise clients and the community at large.

IBM’s Granite 3.0 family includes:

General Purpose/Language: Granite 3.0 8B Instruct, Granite 3.0 2B Instruct, Granite 3.0 8B Base, Granite 3.0 2B BaseGuardrails & Safety: Granite Guardian 3.0 8B, Granite Guardian 3.0 2BMixture-of-Experts: Granite 3.0 3B-A800M Instruct, Granite 3.0 1B-A400M Instruct, Granite 3.0 3B-A800M Base, Granite 3.0 1B-A400M Base

The new Granite 3.0 8B and 2B language models are designed as ‘workhorse’ models for enterprise AI, delivering strong performance for tasks such as Retrieval Augmented Geneneration (RAG), classification, summarization, entity extraction, and tool use. These compact, versatile models are designed to be fine-tuned with enterprise data and seamlessly integrated across diverse business environments or workflows.

While many large language models (LLMs) are trained on publicly available data, a vast majority of enterprise data remains untapped. By combining a small Granite model with enterprise data, especially using the revolutionary alignment technique InstructLab – introduced by IBM and RedHat in May – IBM believes businesses can achieve task-specific performance that rivals larger models at a fraction of the cost (based on an observed range of 3x-23x less cost than large frontier models in several early proofs-of-concept1).

The Granite 3.0 release reaffirms IBM’s commitment to building transparency, safety, and trust in AI products. The Granite 3.0 technical report and responsible use guide provide a description of the datasets used to train these models, details of the filtering, cleansing, and curation steps applied, along with comprehensive results of model performance across major academic and enterprise benchmarks.

Critically, IBM provides an IP indemnity for all Granite models on watsonx.ai so enterprise clients can be more confident in merging their data with the models.

Raising the bar: Granite 3.0 benchmarks

The Granite 3.0 language models also demonstrate promising results on raw performance.

On standard academic benchmarks defined by Hugging Face’s OpenLLM Leaderboard, the Granite 3.0 8B Instruct model’s overall performance leads on average against state-of-the-art-performance of similar-sized open source models from Meta and Mistral. On IBM’s state-of-the-art AttaQ safety benchmark, the Granite 3.0 8B Instruct model leads across all measured safety dimensions compared to models from Meta and Mistral.2 

Across the core enterprise tasks of RAG, tool use, and tasks in the Cybersecurity domain, the Granite 3.0 8B Instruct model shows leading performance on average compared to similar-sized open source models from Mistral and Meta.3

The Granite 3.0 models were trained on over 12 trillion tokens on data taken from 12 different natural languages and 116 different programming languages, using a novel two-stage training method, leveraging results from several thousand experiments designed to optimize data quality, data selection, and training parameters. By the end of the year, the 3.0 8B and 2B language models are expected to include support for an extended 128K context window and multi-modal document understanding capabilities.

Demonstrating an excellent balance of performance and inference cost, IBM offers its Granite Mixture of Experts (MoE) Architecture models, Granite 3.0 1B-A400M and Granite 3.0 3B-A800M, as smaller, lightweight models that could be deployed for low latency applications as well as CPU-based deployments.  

IBM is also announcing an updated release of its pre-trained Granite Time Series models, the first versions of which were released earlier this year. These new models are trained on 3 times more data and deliver strong performance on all three major time series benchmarks, outperforming 10 times larger models from Google, Alibaba, and others. The updated models also provide greater modeling flexibility with support for external variables and rolling forecasts.4

Introducing Granite Guardian 3.0: ushering the next era of responsible AI   

As part of this release, IBM is also introducing a new family of Granite Guardian models that permit application developers to implement safety guardrails by checking user prompts and LLM responses for a variety of risks. The Granite Guardian 3.0 8B and 2B models provide the most comprehensive set of risk and harm detection capabilities available in the market today.

In addition to harm dimensions such as social bias, hate, toxicity, profanity, violence, jailbreaking and more, these models also provide a range of unique RAG-specific checks such as groundedness, context relevance, and answer relevance.  In extensive testing across 19 safety and RAG benchmarks, the Granite Guardian 3.0 8B model has higher overall accuracy on harm detection on average than all three generations of Llama Guard models from Meta. It also showed on par overall performance in hallucination detection on average with specialized hallucination detection models WeCheck and MiniCheck.5

While the Granite Guardian models are derived from the corresponding Granite language models, they can be used to implement guardrails alongside any open or proprietary AI models.

Availability of Granite 3.0 models

The entire suite of Granite 3.0 models and the updated time series models are available for download on HuggingFace under the permissive Apache 2.0 license. The instruct variants of the new Granite 3.0 8B and 2B language models and the Granite Guardian 3.0 8B and 2Bmodels are available today for commercial use on IBM’s watsonx platform. A selection of the Granite 3.0 models will also be available as NVIDIA NIM microservices and through Google Cloud’s Vertex AI Model Garden integrations with HuggingFace.

To help provide developer choice and ease of use and support local, edge deployments, a curated set of the Granite 3.0 models are also available on Ollama and Replicate.

The latest generation of Granite models expand IBM’s robust open-source catalog of powerful LLMs. IBM has collaborated with ecosystem partners like AWS, Docker, Domo, Qualcomm Technologies, Inc. via its Qualcomm® AI Hub, Salesforce, SAP, and others to integrate a variety of Granite models into these partners’ offerings or make Granite models available on their platforms, offering greater choice to enterprises across the world. 

Assistants to Agents: realizing the future for enterprise AI 

IBM is advancing enterprise AI through a spectrum of technologies – from models and assistants, to the tools needed to tune and deploy AI specifically for companies’ unique data and use-cases. IBM is also paving the way for future AI agents that can self-direct, reflect, and perform complex tasks in dynamic business environments.

IBM continues to evolve its portfolio of AI assistant technologies – from watsonx Orchestrate to help companies build their own assistants via low-code tooling and automation, to a wide set of pre-built assistants for specific tasks and domains such as customer service, human resources, sales, and marketing. Organizations around the world have used watsonx Assistant to help them build AI assistants for tasks like answering routine questions from customers or employees, modernizing their mainframes and legacy IT applications, helping students explore potential career paths, or providing digital mortgage support for home buyers. 

Today IBM also unveiled the upcoming release of the next generation of watsonx Code Assistant, powered by Granite code models, to offer general-purpose coding assistance across languages like C, C++, Go, Java, and Python, with advanced application modernization capabilities for Enterprise Java Applications.6 Granite’s code capabilities are also now accessible through a Visual Studio Code extension, IBM Granite.Code.

IBM also plans to release new tools to help developers build, customize and deploy AI more efficiently via watsonx.ai – including agentic frameworks, integrations with existing environments and low-code automations for common use-cases like RAG and agents.7

IBM is focused on developing AI agent technologies which are capable of greater autonomy, sophisticated reasoning and multi-step problem solving. The initial release of the Granite 3.0 8B model features support for key agentic capabilities, such as advanced reasoning and a highly-structured chat template and prompting style for implementing tool use workflows.  IBM also plans to introduce a new AI agent chat feature to IBM watsonx Orchestrate, which uses agentic capabilities to orchestrate AI Assistants, skills, and automations that help users increase productivity across their teams.8  IBM plans to continue building agent capabilities across its portfolio in 2025, including pre-built agents for specific domains and use-cases.

Expanded AI-powered delivery platform to supercharge IBM consultants with AI 

IBM is also announcing a major expansion of its AI-powered delivery platform, IBM Consulting Advantage. The multi-model platform contains AI agents, applications, and methods like repeatable frameworks that can empower 160,000 IBM consultants to deliver better and faster client value at a lower cost.

As part of the expansion, Granite 3.0 language models will become the default model in Consulting Advantage. Leveraging Granite’s performance and efficiency, IBM Consulting will be able to help maximize the return-on-investment for the generative AI projects of IBM clients. 

Another key part of the expansion is the introduction of IBM Consulting Advantage for Cloud Transformation and Management and IBM Consulting Advantage for Business Operations. Each includes domain-specific AI agents, applications, and methods infused with IBM’s best practices so IBM consultants can help accelerate client cloud and AI transformations in tasks, like code modernization and quality engineering, or transform and execute operations across domains, like finance, HR and procurement.

To learn more about Granite and IBM’s AI for Business strategy, visit https://www.ibm.com/granite.

1 Cost calculations are based on API cost per million tokens pricing of IBM watsonx for open models and openAI for GPT4 models (assuming blend of 80% inout, 20% output) for customer proofs-of-concept.
2 IBM Research technical paper: Granite 3.0 Language Models
3 IBM Research technical paper: Granite 3.0 Language Models
4 The Tiny Time Mixer: Fast Pre-Trained Models for Enhanced Zero/Few Shot Forecasting on Multivariate Time Series
5 Evaluation results published in Granite Guardian GitHub Repo
6 Planned availability for Q4 2024
7 Planned availability for Q4 2024
8 Planned availability for Q1 2025

Media Contact:
Amy Angelini
alangeli@us.ibm.com

 

SOURCE IBM

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NAVER Partners with Brookfield and NVIDIA to Expand Korea’s National AI Factory Infrastructure Buildout

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July 25, 2026

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SAN FRANCISCO, July 25, 2026 /PRNewswire/ — NAVER, Brookfield and NVIDIA announced an expansion of Korea’s sovereign AI factory infrastructure. New investments will increase the initial NVIDIA DSX™ AI factory deployment from 55 megawatts to 200 megawatts.

Announced during Korea President Jae Myung Lee’s AI Summit visit to San Francisco, the planned 200-megawatt expansion will be built with the NVIDIA DSX platform at NAVER’s GAK Sejong hyperscale data center in Sejong, South Korea. The expanded infrastructure will provide Korea- and U.S.- based AI innovators with access to production-scale AI compute for building next-generation models, agents and AI-powered services.

Under the terms of the agreements, Brookfield will fund up to $9 billion as the exclusive capital partner, NVIDIA will invest $1 billion and NAVER will fund the remaining amount to finance the $10 billion project.

This builds on NAVER’s June announcement to extend its GAK Sejong data center with NVIDIA DSX, with a long-term path to gigawatt-scale sovereign AI infrastructure serving Korea’s enterprises, industries, government organizations and global AI cloud customers. Combining Brookfield’s capital with NVIDIA’s computing platform, the investment supports NAVER’s AI factory deployment.

“NVIDIA’s strategic investment and our infrastructure supply agreement with Brookfield have propelled NAVER’s vision for the AI Factory business into a robust execution phase,” said Haejin Lee, Founder and Chairman of NAVER. “Leveraging the solid partnerships with our global partners, we will drive technological innovation, foster a sovereign AI ecosystem, and spearhead efforts to strengthen South Korea’s AI competitiveness.” 

AI Factory Expansion and Open Model Collaboration to Fuel AI Innovators

NAVER, as an NVIDIA Cloud Partner, provides deep expertise in operating hyperscale infrastructure powered by the full-stack NVIDIA AI platform. The 200-megawatt AI factory, featuring NVIDIA Vera Rubin and Blackwell platforms, will establish a dedicated resource pool for emerging AI companies, providing the compute, software and support needed to develop and deploy competitive AI models and applications at scale.

This expanded infrastructure also builds on NAVER and NVIDIA’s collaboration on open model development for agentic and physical AI. NAVER is advancing its HyperCLOVA X models to be based on NVIDIA Nemotron™ 3 Ultra open models with its proprietary data and training expertise. NAVER is also the first Korean company to join the NVIDIA Nemotron Coalition, contributing to open model development across pretraining, post-training and reinforcement learning.

NAVER plans to launch an AI agent platform in Korea in the second half of the year, powered by NVIDIA Agent Toolkit software including NVIDIA NemoClaw™ blueprints. NAVER is also developing a Seoul World Model using proprietary urban street-view and spatial modeling data, built on NVIDIA Cosmos™ world foundation models.

About NAVER

Founded in 1999, NAVER is Korea’s largest Internet company and one of the world’s top tech companies. Leading cutting-edge technologies, NAVER operates the No.1 search engine in Korea and holds various business portfolios encompassing commerce, fintech, cloud, AI and robotics.

NAVER recorded sales of KRW 12.04 trillion (USD 8.18 billion) in 2025. TEAM NAVER continues to enhance its business portfolio and expand its global presence across Japan, North America, and Europe, while pursuing innovation through continuous research and development in future technologies.

View original content:https://www.prnewswire.com/news-releases/naver-partners-with-brookfield-and-nvidia-to-expand-koreas-national-ai-factory-infrastructure-buildout-302834577.html

SOURCE NAVER

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Beijing Review: Walking Through Time: China and U.S. Youths Explore Dali’s Past and Future

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July 25, 2026

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BEIJING, July 24, 2026 /PRNewswire/ — On July 17, a China-U.S. youth delegation came to Dali of Yunnan Province. By examining how Dali’s rich history intersects with modern development, the delegates explored new pathways for rural development.

They visited Dali Old Town, tried their hand at making the Bai people’s Three-Course Tea and also explored the ancient town of Xizhou, where they learned how modern tourism and indigenous life coexist.

In Yunnanyi Village, they explored its history as a stop along the Tea Horse Road and learned about the role it played during the Second World War (WWII).

Tyler James Smith

“I think it’s a very underappreciated part of World War II history. Hearing these stories of different countries working together despite cultural differences is incredibly inspiring.

I also think there are many stories like these that haven’t been widely told, simply because World War II is such a complex period in history. That’s why I think it’s so meaningful to visit museums like this and experience these stories firsthand.”

At Xiangyun Economic and Technological Development Zone, they visited a local new energy company to see how green, low-carbon development is driving regional growth.

Valerie Marie

“I recently started studying energy transitions. I know China has been really big in the renewable energy sector. So actually getting to hear more about [China’s] 2060 [pledge], learning more about carbon neutrality [goals], as well as other zero-carbon goals, was cool.”

During their stay in Dali, they also strolled along the Erhai Lake Ecological Corridor.

Bai Yiwen

“I’d describe this journey as “to be continued,” because my own connection with Yunnan is far from over. For the U.S. delegates, this was only their first visit, so they’ve only had a glimpse of what Yunnan has to offer. I hope they will have more opportunities to come back to China, explore other cities in Yunnan, and discover even more of its people, culture and traditions.”

After Dali, the delegates will visit Beijing for more tours and exchanges. The event was co-hosted by China International Communications Group (CICG) Center for the Americas and the U.S.-based International Student Conferences.

https://x.com/beijingreview/status/2080104404552663067?s=46&t=yfVMVdMyE2zKAFrYaLoV-g

https://www.facebook.com/share/v/1EtGCCKzy4/?mibextid=wwXIfr

https://www.tiktok.com/@cachinachic/video/7665536913532587294?is_from_webapp=1&sender_device=pc&web_id=7227134149436605995

https://youtu.be/jGONWTqwduc?is=KfL-Zn3HyVYE-KEm

Contact: Jiaweibellapeng@163.com

View original content:https://www.prnewswire.com/news-releases/beijing-review-walking-through-time-china-and-us-youths-explore-dalis-past-and-future-302834587.html

SOURCE Beijing Review

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Hyundai Motor Group Executive Chair Euisun Chung Announces Physical AI Vision at San Francisco AI Summit

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July 25, 2026

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Hyundai Motor Group shares roadmap for realizing its Physical AI vision and collaboration strategy with global tech leaders at the San Francisco AI SummitExecutive Chair Euisun Chung presented, “Hyundai Motor Group is evolving beyond the traditional boundaries of automotive manufacturing to become a Physical AI solution company,” adding, “The ultimate Physical AI vision we pursue is the realization of integrated intelligence at the city level”The Group to leverage manufacturing competitiveness and leading robotics capabilities centered on Boston Dynamics, while establishing a data flywheel system connecting real-world operational data with continuous AI model advancementThe Group to leverage strategic partnerships with global technology leaders, including NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMindThe Group to collaborate with NVIDIA to develop a Robot Reference Platform that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities

… The initiative to support Korea’s Physical AI industry through an open ecosystem

The Group to cultivate strategic domestic hubs through investments in Saemangeum AI Valley and future advanced industries in Korea’s Yeongnam region

SAN FRANCISCO, July 25, 2026 /PRNewswire/ — Hyundai Motor Group (the Group) Executive Chair Euisun Chung today outlined the Group’s vision and strategy for Physical AI at the San Francisco AI Summit held in San Francisco, California.

The event brought together approximately 150 attendees, including Executive Chair Chung, business leaders from major Korean companies, executives from leading U.S. technology firms, startup representatives and students.

At the summit, Executive Chair Chung presented the Group’s roadmap for advancing Physical AI and outlined strategic collaboration plans with global technology leaders.

“Hyundai Motor Group is evolving beyond the traditional boundaries of automotive manufacturing by expanding into autonomous driving, robotics and AI Defined Factories, accelerating our transformation into a Physical AI solution company.” — Hyundai Motor Group Executive Chair Euisun Chung

Accelerating the Transition to a Physical AI Solution Company

Hyundai Motor Group’s Physical AI vision extends beyond intelligent devices such as vehicles and robots to intelligent spaces, including AI factories where AI seamlessly connects and optimizes entire operations. Ultimately, the Group envisions integrated intelligence at the city level, where urban infrastructure is organically connected and operated through AI.

A key differentiator for the Group is its ability to create a data flywheel that continuously connects real-world operations with AI advancement. Drawing on extensive experience in large-scale manufacturing, mobility, robotics and service operations, the Group is positioned to deploy, refine and scale Physical AI technologies in real industrial environments.

Executive Chair Chung also outlined strategic partnerships with leading technology companies, including NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind, to further advance Physical AI capabilities.

By combining Hyundai Motor Group’s manufacturing competitiveness, mobility and robotics technologies and extensive operational data with the AI infrastructure and algorithm capabilities of global technology leaders, the Group aims to help foster a new innovation ecosystem for the Physical AI era.

Executive Chair Chung also introduced initiatives designed to support the growth of Korea’s robotics and AI ecosystem, including the development of a Robot Reference Platform with NVIDIA that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities, as well as investments in initiatives such as the Saemangeum AI Valley.

Physical AI Vision: From Intelligent Devices to Integrated Intelligence at the City Level

During the summit, Executive Chair Chung presented Hyundai Motor Group’s Physical AI vision.

“The ultimate Physical AI vision Hyundai Motor Group pursues begins with intelligent devices such as vehicles and robots, expands to intelligent spaces such as AI factories, and ultimately realizes integrated intelligence at the city level, where urban infrastructure is seamlessly connected and operated.” — Hyundai Motor Group Executive Chair Chung

The Group’s vision begins with intelligent devices, where AI capabilities enhance vehicles and robots. It then expands to intelligent spaces, including AI factories where AI autonomously integrates logistics, production and quality management across entire operations.

Ultimately, Hyundai Motor Group envisions city-level intelligence, where critical infrastructure and assets — including energy, mobility and robotics systems — are connected and optimized in real time.

Executive Chair Chung also highlighted the Group’s key strengths in realizing its Physical AI vision:

World-class manufacturing competitiveness: Hyundai Motor Group has built extensive expertise through decades of operating global manufacturing facilities, managing quality systems and optimizing supply chains. This foundation enables the Group to apply AI technologies to products, processes and services while rapidly validating and scaling innovations in real-world environments.Leading robotics capabilities: Hyundai Motor Group has established robotics as a key pillar of its future business portfolio. Boston Dynamics’ quadruped robot Spot®, logistics robot Stretch®, and Hyundai Motor Group Robotics LAB’s next-generation mobile robot platform MobED are recognized for combining technological competitiveness with real-world applicability.

In particular, the humanoid robot Atlas® is emerging as a representative example of Physical AI, supporting and collaborating with people across manufacturing, logistics and mobility environments.

Establishing a data flywheel system: Hyundai Motor Group is establishing a data flywheel system that leverages data generated across manufacturing operations, vehicles, logistics systems and robotics demonstrations to continuously advance AI models. Enhanced algorithms are then reapplied to real-world operations, creating a virtuous cycle that improves performance and strengthens Physical AI capabilities.

Accelerating the Future of Physical AI Through Partnerships with Global Tech Leaders

Executive Chair Chung also outlined concrete initiatives to position Hyundai Motor Group as a leader in human-centered Physical AI through strategic collaborations with NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind.

“By combining Hyundai Motor Group’s strengths in manufacturing, robotics and data with the capabilities of global technology leaders, we can help create a new innovation ecosystem for the Physical AI era.” — Hyundai Motor Group Executive Chair Euisun Chung

NVIDIA – Advancing Physical AI infrastructure and talent development

Hyundai Motor Group is expanding collaboration with NVIDIA to strengthen Physical AI infrastructure and cultivate AI talent. Building on a supply agreement for 50,000 NVIDIA Blackwell GPUs and a memorandum of understanding signed last year to advance Korea’s Physical AI capabilities, the Group is pursuing a range of initiatives, including the establishment of Hyundai Motor Group Robot Application Center, as well as various collaborations aimed at strengthening Korea’s Physical AI infrastructure and AI talent ecosystem, including the NVIDIA’s AI Technology Center.

In manufacturing, the Group is leveraging NVIDIA’s platform to create more sophisticated digital twins of production facilities, enhancing process design, operational optimization and validation efficiency. The collaboration also includes the integration of NVIDIA’s autonomous driving solutions, including automotive semiconductors, sensors and architecture, with Hyundai Motor Group vehicle platforms.

Waymo – Strengthening autonomous driving collaboration

Hyundai Motor Group continues to strengthen its strategic partnership with Waymo in the autonomous driving sector to support the development of a safe and innovative autonomous driving ecosystem. Autonomous driving vehicles require a wide range of specialized capabilities, including redundant systems for steering, braking, power and communications, dedicated features such as power-operated doors, as well as enhanced functional safety and cybersecurity technologies.

Hyundai Motor Group plans to produce IONIQ 5 vehicles with specific autonomous-ready modifications at Hyundai Motor Group Metaplant America (HMGMA) in Georgia.

Google DeepMind – Accelerating next-generation humanoid robotics

Boston Dynamics has established a strategic partnership with Google DeepMind to accelerate the development of next-generation humanoid robots. Advanced AI models and training systems are essential for robots to perform complex tasks in real-world environments and collaborate effectively with people. Through this partnership, Boston Dynamics robots are expected to achieve greater autonomy and adapt more effectively to complex operating environments.

Hyundai Motor Group plans to establish a robot production facility in the U.S. with an annual capacity of up to 30,000 units by 2028. The Atlas humanoid robot will first be deployed at production facilities including HMGMA before broader deployment is expanded through phased validation.

Building an Open Ecosystem Through the Robot Reference Platform and Continued Investment in Korea’s Physical AI Future

Executive Chair Chung also outlined initiatives aimed at supporting the growth of Korea’s Physical AI ecosystem through open collaboration and continued investment.

“The outcomes of collaboration with global technology leaders should contribute to the growth of Korea’s Physical AI industry. To that end, Hyundai Motor Group plans to foster an open ecosystem that supports innovation in robotics and AI technologies.” — Hyundai Motor Group Executive Chair Euisun Chung

Key initiatives to build an open ecosystem for robotics and AI innovation include:

Robot Reference Platform: Hyundai Motor Group and NVIDIA are collaborating to develop a Robot Reference Platform that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities.

The platform will provide research robot models to universities, research institutes and startups, helping foster an open ecosystem that supports technological innovation and the development of Physical AI talent while contributing to the broader growth of Korea’s robotics and AI industries. 

Supporting universities, research institutes and startups: The Robot Reference Platform is expected to provide universities, research institutes and startups with a standardized hardware and software environment, enabling them to more easily develop and validate Physical AI technologies. The initiative aims to help address challenges faced by organizations with innovative ideas but limited access to commercialization opportunities and validation infrastructure.

Hyundai Motor Group is also continuing large-scale investments aimed at driving the next leap forward in Korea’s industrial and technology ecosystem. Continued investments in Korea’s industrial and technology ecosystem include:

Saemangeum AI Valley: In the Saemangeum region of Jeonbuk State, the Group is developing Saemangeum AI Valley, which includes an approximate KRW 9 trillion investment in AI data centers, robotics manufacturing clusters, electrolyzer plants and AI hydrogen city infrastructure. 

In particular, the robotics manufacturing cluster will serve not only as a production base for the Group’s own robotics products, but also as a robotics foundry that provides manufacturing services for small and medium-sized enterprises that lack manufacturing expertise.

Advanced industrial hubs in the Yeongnam region: Hyundai Motor Group plans to invest a total of KRW 42 trillion over the next decade to foster advanced industrial hubs focused on AI-driven manufacturing, future aerospace industries and sustainable energy infrastructure.

Through these initiatives, Hyundai Motor Group aims to strengthen key foundations for the Physical AI era, including data and energy infrastructure, robotics production capabilities and real-world validation capabilities. The Group also expects these investments to contribute to enhanced industrial competitiveness, balanced regional development, job creation and broader economic vitality in Korea.

About Hyundai Motor Group

Hyundai Motor Group is a global enterprise that has created a value chain based on mobility, steel, and construction, as well as logistics, finance, IT, and service. With about 250,000 employees worldwide, the Group’s mobility brands include Hyundai, Kia, and Genesis. Armed with creative thinking, cooperative communication, and the will to take on any challenges, we strive to create a better future for all.

More information about Hyundai Motor Group can be found at: http://www.hyundaimotorgroup.com or Newsroom: Media Hub by Hyundai, Kia Global Newsroom, Genesis Newsroom

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SOURCE Hyundai Motor Company

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