Ubitus invests JPY 17 billion in AI GPU data center infrastructure with METI grant in Japan

Ubitus has announced its official selection for Japan’s Ministry of Economy, Trade and Industry (METI) Large-Scale Growth Investment Grant Program for Medium-Sized and Small Enterprises. The company reports it will invest JPY 17 billion in expanding regional distributed GPU infrastructure, leveraging NVIDIA’s Blackwell GPU architecture to enhance its NeoCloud platform. This effort aims to advance Japan’s high-performance computing and support the nation’s growing artificial intelligence (AI) requirements.

The approved project, “Regional Distributed GPU Infrastructure Development for the Generative AI Era,” specifically targets domestic AI infrastructure expansion. Ubitus says its NeoCloud platform will implement layered scheduling, distributed computing, and elastic resource management. These capabilities are designed to enhance computational efficiency, minimize latency, and dynamically scale compute resources to address regional demand.

Ubitus claims the next-generation NeoCloud architecture will enhance Japan’s data sovereignty, promote local deployment of AI workloads, and reduce energy and bandwidth bottlenecks that are often found in centralized facilities. The architecture is intended to build resilience and enable a flexible, scalable nationwide GPU foundation.

The company notes prior collaboration through the “GENIAC” Program, which included development of a 405-billion-parameter East Asia large language model supporting Japanese, Traditional Chinese, and English. Benchmarking reportedly showed this model surpassed GPT-4 in selected knowledge-based tests. Ubitus has also deployed advanced AI language models for applications such as tourism, with “Chokimaru,” an AI guide in Maizuru City, Kyoto, enabling real-time multilingual Q&A and translation via browser and mobile devices.

Ubitus states that it will continue to strengthen technical and industrial partnerships within Japan, focusing on distributed AI infrastructure for data center operators, governments, and enterprises. Key operational targets include reducing latency and energy bottlenecks, improving localized compute, and supporting applications in industries ranging from culture and tourism to healthcare and enterprise AI deployments.

Source: Ubitus

Get Data Center Engineering News In Your Inbox:

Popular Posts:

Screenshot
Five AI data centers to reach 1 GW power capacity in 2026, new analysis shows
Near-Packaged-Optics--Rethinking-the-AI-Data-Center-Interconnect
Near-Packaged Optics: Rethinking the AI Data Center Interconnect
30cf-data-center-pr
Carrier launches AquaEdge 30CF chiller to boost data center cooling reliability and uptime
shine 的複本 的複本 - 36
GenerMotor launches stackable HVDC generator modules for AI data center power
Low-chill_graphic
HRL Low-Chill single-phase liquid cooling targets high-density GPU racks with low pressure drop

Share Your Data Center Engineering News

Do you have a new product announcement, webinar, whitepaper, or article topic? 

Get Data Center Engineering News In Your Inbox: