{"id":4295,"date":"2025-10-01T23:39:50","date_gmt":"2025-10-01T23:39:50","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/10\/01\/japans-ai-demand-will-increase-320x-by-2030-industry-leader-says-at-nvidia-ai-day-tokyo\/"},"modified":"2025-10-01T23:39:50","modified_gmt":"2025-10-01T23:39:50","slug":"japans-ai-demand-will-increase-320x-by-2030-industry-leader-says-at-nvidia-ai-day-tokyo","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/10\/01\/japans-ai-demand-will-increase-320x-by-2030-industry-leader-says-at-nvidia-ai-day-tokyo\/","title":{"rendered":"Japan\u2019s AI Demand Will Increase 320x by 2030, Industry Leader Says at NVIDIA AI Day Tokyo"},"content":{"rendered":"<div>\n<p><!-- OneTrust Cookies Consent Notice start for nvidia.com --><\/p>\n<p><!-- OneTrust Cookies Consent Notice end for nvidia.com --><\/p>\n<p>\t<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ --><br \/>\n\t<title>Japan\u2019s AI Demand Will Increase 320x by 2030, Industry Leader Says at NVIDIA AI Day Tokyo | NVIDIA Blog<\/title><\/p>\n<p>\t<!-- \/ Yoast SEO Premium plugin. --><\/p>\n<p><!-- Stream WordPress user activity plugin v4.1.1 --><\/p>\n<p>\t\t\t\t<!-- Hotjar Tracking Code for NVIDIA --><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.nvidia.com\/content\/dam\/1x1-00000000.png\" width=\"1\" height=\"1\" alt=\"country_code\"><\/p>\n<div id=\"page\" class=\"hfeed site\">\n\t<a class=\"skip-link screen-reader-text\" href=\"#content\">Skip to content<\/a><\/p>\n<p>\t<!-- #masthead --><\/p>\n<div class=\"full-width-layout light\">\n<div class=\"full-width-layout__hero light\">\n<div class=\"full-width-layout__hero-content light\">\n<div class=\"full-width-layout__hero-content__inner light\">\n<p>\n\t\t\t\t\tAt the event, which highlighted sovereign AI advancements in Japan, Kuniyoshi Suzuki of SoftBank Corp. discussed foundational technologies needed for AI expansion across the nation.\t\t\t\t<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"full-width-layout__sections\">\n<div class=\"full-width-layout__article-copy-section light\">\n<div class=\"full-width-layout__copy\">\n<p><i>Editor\u2019s note: This post is part of a blog series highlighting <\/i><a href=\"https:\/\/blogs.nvidia.com\/blog\/category\/ai-days\/\"><i>NVIDIA AI Days<\/i><\/a><i> across the globe.<\/i><\/p>\n<p>NVIDIA AI Days \u2014 hosted for and in different pockets of the world \u2014 are drawing in hundreds of enthusiasts, developers, researchers and startups to discuss and explore the latest technologies making AI breakthroughs possible.<\/p>\n<p>The latest stop: Tokyo, Japan.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__standard-image-section\">\n\t\t\t<img decoding=\"async\" width=\"2048\" height=\"1366\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/check-in-ai-day-tokyo-scaled.jpeg\" class=\"full-width-layout__image\" alt=\"Attendees check in at NVIDIA AI Day Tokyo.\" loading=\"lazy\">\t<\/p>\n<p>\n\t\t\t<span class=\"full-width-layout__media-caption-callout\"><br \/>\n\t\t\tAttendees check in at NVIDIA AI Day Tokyo.\t\t<\/span><\/p>\n<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<div class=\"full-width-layout__copy\">\n<p>Last week, over 900 attendees joined NVIDIA AI Day Tokyo to learn about <a href=\"https:\/\/blogs.nvidia.com\/blog\/what-is-sovereign-ai\/\">sovereign AI<\/a> \u2014 including two-dozen breakout sections on <a href=\"https:\/\/blogs.nvidia.com\/blog\/what-is-agentic-ai\/\">agentic<\/a> and <a href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/generative-physical-ai\/\">physical AI<\/a>, quantum computing and AI factories.<\/p>\n<p>NVIDIA Cloud Partners SoftBank, GMO Internet and KDDI\u00a0each introduced the latest advancements to their AI factories and showcased how they\u2019re supporting developers to build AI models and services.<\/p>\n<p>\u201cJapan will see a 320x increase from 2020 in demand for AI computing power by 2030,\u201d Kuniyoshi Suzuki, senior director of the cloud AI service division at SoftBank Corp., said at the event. \u201cTo ensure transparency and safety as AI adoption expands, it is crucial to build a foundation of domestic technologies \u2014 high performance, Japan-made large language models and large-scale domestic computing infrastructure capable of continuous LLM development.\u201d<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__standard-image-section\">\n\t\t\t<img decoding=\"async\" width=\"2048\" height=\"819\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/suzuki-pull-quote-scaled.jpg\" class=\"full-width-layout__image\" alt=\"\u201cJapan will see a 320x increase from 2020 in demand for AI computing power by 2030,\u201d said Kuniyoshi Suzuki, senior director of the cloud AI service division at SoftBank Corp.\" loading=\"lazy\">\n\t<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">Why It Matters<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>The Japanese government is placing AI at the core of its national strategy. Last year, it <a href=\"https:\/\/www.meti.go.jp\/english\/speeches\/press_conferences\/2024\/1112001.html\">announced<\/a> a goal to invest at least 10 trillion yen \u2014 about $65 billion \u2014 through fiscal year 2030 to boost the semiconductor and AI industries.<\/p>\n<p>\u201cSpecialized AI for industries like manufacturing, finance and healthcare will drive Japan\u2019s digital transformation,\u201d said Kazuya Ishikawa, evangelist of AI at NEC, a leader in IT and network technologies. \u201cWe are certain that LLMs such as NEC cotomi enable professional employees\u2019 knowledge transfer or utilizing complex enterprise documents, directly addressing the skill gap and labor shortages that Japan is facing.\u201d<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__standard-image-section\">\n\t\t\t<img decoding=\"async\" width=\"2048\" height=\"819\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/ishikawa-pull-quote-scaled.jpg\" class=\"full-width-layout__image\" alt=\"\u201cSpecialized AI for industries like manufacturing, finance and healthcare will drive Japan\u2019s digital transformation,\u201d said Kazuya Ishikawa, AI evangelist at NEC.\" loading=\"lazy\">\n\t<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<div class=\"full-width-layout__copy\">\n<p>Plus, Japan\u2019s <a href=\"https:\/\/www.meti.go.jp\/english\/policy\/mono_info_service\/geniac\/index.html\">GENIAC<\/a> initiative aims to strengthen domestic generative AI capabilities by providing companies with computing resources, fostering collaboration and supporting foundation model development \u2014 including LLMs tuned for the Japanese language and industry.<\/p>\n<p>Here are some of the key players driving AI industry trends:<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__full-width-image-section\">\n\t\t\t<img decoding=\"async\" width=\"2048\" height=\"819\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/tokyo-infographic-scaled.jpg\" class=\"full-width-layout__image\" alt=\"Infographic that says there are: 281,000 Japan-based NVIDIA Developer Program members, 400 NVIDIA Inception startups in Japan, six major cloud leaders with NVIDIA-powered AI factories in Japan and 29,000 NVIDIA Deep Learning Institute enrollments in Japan.\" loading=\"lazy\">\n\t<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">Industry in Motion<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>Japan-based NVIDIA partners are advancing the nation\u2019s role in the next industrial revolution fueled by AI.<\/p>\n<p>NVIDIA Inception members unveiled innovative services developed using the <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/products\/nemo\/\">NVIDIA NeMo<\/a> software suite.<\/p>\n<p>For example, <a href=\"https:\/\/blogs.nvidia.co.jp\/blog\/stockmark-aidaytokyo\/\">Stockmark<\/a> announced the release of its 100-billion-parameter full-scratch Japanese LLM as an <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/products\/nim-microservices\/\">NVIDIA NIM<\/a> microservice, offering 2.5x faster inference.<\/p>\n<p>And <a href=\"https:\/\/fastlabel.ai\/news\/20250925-NeMo\">FastLabel<\/a> launched FastLabel Data Curation, a solution for developing autonomous-driving capabilities and advanced driver-assistance systems.<\/p>\n<p>In addition, <a href=\"https:\/\/prtimes.jp\/main\/html\/rd\/p\/000000034.000113498.html\">Hakuhodo Technologies<\/a>, a service company of Japan\u2019s major ad agency Hakuhodo, announced it will use <a href=\"https:\/\/build.nvidia.com\/blueprints\">NVIDIA AI Blueprints<\/a> and the <a href=\"https:\/\/developer.nvidia.com\/nemo-agent-toolkit\">NVIDIA NeMo Agent toolkit<\/a> to develop AI agents for autonomously producing advertisements.<\/p>\n<p>Shimizu Corporation, a leading general contractor with over 200 years of history in Japan, revealed how it is exploring the <a href=\"https:\/\/build.nvidia.com\/nvidia\/video-search-and-summarization\">NVIDIA AI Blueprint for video search and summarization<\/a> to monitor work progress and potential risks at construction sites.<\/p>\n<p>And an NVIDIA session at AI Day Tokyo highlighted the newly released <a href=\"https:\/\/huggingface.co\/blog\/nvidia\/nemotron-personas-japan\">Nemotron-Personas-Japan<\/a>, the first open synthetic dataset aligned with Japan\u2019s real-world demographic, geographic and cultural distributions. The dataset provides a privacy-preserving, regulation-ready foundation for sovereign AI systems to reflect Japanese society without relying on sensitive personal data.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__full-width-image-section\">\n\t\t\t<img decoding=\"async\" width=\"1999\" height=\"1334\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/nemotron-personas-japan.jpeg\" class=\"full-width-layout__image\" alt=\"Atsunori Fujita, senior solution architect at NVIDIA Japan, introduces the newly released Nemotron-Personas-Japan dataset.\" loading=\"lazy\">\t<\/p>\n<p>\n\t\t\t<span class=\"full-width-layout__media-caption-callout\"><br \/>\n\t\t\tAtsunori Fujita, senior solution architect at NVIDIA Japan, introduces the newly released Nemotron-Personas-Japan dataset. \t\t<\/span><\/p>\n<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<div class=\"full-width-layout__copy\">\n<p>\u201cBy leveraging advanced methodologies and accelerated computing, developers and businesses in Japan can empower AI agents to maximize enterprise data usage, drive organizational efficiency and achieve continuous innovation,\u201d said Bartley Richardson, senior director of engineering at NVIDIA, who provided an overview of agentic AI at the event.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__full-width-image-section\">\n\t\t\t<img decoding=\"async\" width=\"1999\" height=\"1334\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/richardson-tokyo.jpeg\" class=\"full-width-layout__image\" alt=\"Bartley Richardson, senior director of engineering at NVIDIA, provides an overview of agentic AI at the event.\" loading=\"lazy\">\t<\/p>\n<p>\n\t\t\t<span class=\"full-width-layout__media-caption-callout\"><br \/>\n\t\t\tBartley Richardson, senior director of engineering at NVIDIA, provides an overview of agentic AI at the event.\t\t<\/span><\/p>\n<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<div class=\"full-width-layout__copy\">\n<p>\u201cJapanese developers are building flexible and powerful agentic systems suitable for Japan\u2019s drive toward technological excellence and operational precision,\u201d he added.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__standard-image-section\">\n\t\t\t<img decoding=\"async\" width=\"2048\" height=\"819\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/richardson-pull-quote-scaled.jpg\" class=\"full-width-layout__image\" alt=\"\u201cJapanese developers are building flexible and powerful agentic systems suitable for Japan\u2019s drive toward technological excellence and operational precision,\u201d said Bartley Richardson, senior director of engineering at NVIDIA.\" loading=\"lazy\">\n\t<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">Other Event Highlights<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>A special \u201cJapan Healthcare Day\u201d provided deep dives into NVIDIA\u2019s healthcare technologies for developers and researchers from Japan\u2019s medtech companies.<\/p>\n<p>Four sessions covered how the open-source <a href=\"https:\/\/docs.nvidia.com\/monai\/index.html\">MONAI<\/a> framework, along with the <a href=\"https:\/\/www.nvidia.com\/en-us\/edge-computing\/holoscan\/\">NVIDIA Holoscan<\/a> and <a href=\"https:\/\/developer.nvidia.com\/isaac\/healthcare\">NVIDIA Isaac for Healthcare<\/a> platforms, are accelerating the development of cutting-edge medical devices and digital health tools with agentic AI.<\/p>\n<p>Training workshops from the <a href=\"https:\/\/www.nvidia.com\/en-us\/training\/\">NVIDIA Deep Learning Institute<\/a> covered building AI agents with <a href=\"https:\/\/blogs.nvidia.com\/blog\/what-is-retrieval-augmented-generation\/\">retrieval-augmented generation<\/a> capabilities using LLMs and an introduction to the <a href=\"https:\/\/www.nvidia.com\/en-us\/ai\/cosmos\/\">NVIDIA Cosmos<\/a> world foundation model platform for physical AI.<\/p>\n<p>The event also included a meetup where startups from the<a href=\"https:\/\/www.nvidia.com\/en-us\/startups\/\"> NVIDIA Inception<\/a> program met with NVIDIA Cloud Partners to identify suitable partners for their developer environment. The startups also connected with venture capital companies.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">What\u2019s Next<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>Building on its strength in engineering and mechatronics, Japan is poised to drive a new era where advanced digital agents capable of planning, reasoning and collaborating will become digital workers to execute complex tasks alongside physical AI.<\/p>\n<p>Physical AI lets autonomous systems like cameras, robots and self-driving cars perceive, understand, reason and perform or orchestrate complex actions in the real world.<\/p>\n<p>The physical AI track at AI Day Tokyo provided insights on technologies such as <a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/\">NVIDIA Omniverse<\/a> for digital twins, <a href=\"https:\/\/developer.nvidia.com\/isaac\/gr00t\">NVIDIA Isaac GR00T<\/a> for humanoid robotics development and NVIDIA Cosmos world foundation models.<\/p>\n<p>Next up: <a href=\"https:\/\/www.nvidia.com\/en-au\/ai-days\/\">NVIDIA AI Day Sydney<\/a>, running Oct. 15-16, where attendees can learn about the latest AI breakthroughs, connect with peers and experts, and contribute to the next wave of innovation.<\/p>\n<p><i>Explore more content from <\/i><a href=\"https:\/\/blogs.nvidia.com\/blog\/category\/ai-days\/\"><i>AI Days<\/i><\/a><i> around the globe.<\/i><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n<p><!-- #colophon --><\/p>\n<\/div>\n<p><!-- #page --><\/p>\n<p><!-- #has-highlight-and-share -->\t\t<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/ai-day-tokyo\/<\/p>\n","protected":false},"author":0,"featured_media":4296,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4295"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=4295"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4295\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/4296"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=4295"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=4295"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=4295"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}