April upd: robots & geometries :
2025 A VERY HUMAN CRISIS. Today, intelligence tools exist to deep-context help you all (individually, team, communally) be up to 1000 times more productive at work or in hobbies' and love's experiential joys. Why type 4 engineers need coding help from all gilrls & boys 3rd grade up.
TOkens: see your lifetime's intelligence today
nvidia Physical A1 -Robots
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Will Jen-Hsun's GTC26 big reveal be a superagent AI tutor k-12 whom we can all CC in email?
.. If you know this- please help others. If you don't know this please ask for help2002-2020 saw pattern recognition tools such as used by medical surgeons improve 1000-fold. From 2020, all sorts of Human Intellligence (HI) tools improved 4-fold a year - that's 1000 fold in 5 years. Problem HI1 if you get too atached to 2020's tool, a kid who starts with 2025 smartest tool may soon leap ahead of you. Problem HI2: its no longer university/institution you are alumni of, but which super-engineers (playing our AI game of whose intel tools you most need to celebrate. Problem HI3- revise your view of what you want from whom you celebrate and the media that makes people famous overnight. Indeed, is it even a great idea (for some places) to spend half a billion dolars selecting each top public servant. HI challenges do not just relate to millennials generative brainpower We can map intergeneration cases since 1950s when 3 supergenii (Neumann Einstein Turing) suddenly died within years of each other (due to natural cause, cancer, suicide). Their discoveries changed everything. HIClue 1 please stop making superengineers and super energy innovators NATIONS' most hated and wanted of people
welcome to von Neumann hall of fame- based on notes from 1951 diaries-who's advancing human intel have we missed? chris.macrae@yahoo.co.uk
new stimuli to our brains in April - AI NIST publishes full diary of conflicting systems orders its received (from public servants) on ai - meanwhile good engineers left col ...March 2025: Thks Jensen Huang 17th year sharing AI quests (2 video cases left) now 6 million full stack cuda co-workers
TOkens:help see yourlifetime's


nvidia Physical A1 -Robots
More Newton Collab.&& Foxconn Digital Twin
NET :: KCharles :: Morita : : Borlaug :: Deming Moore
Abed: Yew :: Guo:: JGrant
ADoerr :: Jobs:: Dell .. Ka-shing
Lecun :: L1 L2 :: Chang :: Nilekani :: Singh
Huang . : 1 : Yang : Tsai : Bezos
21stC Bloomberg ::Daniels
Satoshi :: Hassabis : Fei-fei Li
Shum : : Ibrahim : CTandon
Ambani : Modi :: MGates : PChan : Kariko :: Francia
Oxman (&EB) ::: HFry:: Yosuke
Musk & Wenfeng :: Mensch..
March 2025:Grok 3 has kindly volunterered to assist younger half of world seek INTELLIGENCE good news of month :from Paris ai summit and gtc2025 changed the vision of AI.
At NVIDIA’s GTC 2025 (March 18-21, San Jose, nvidianews.nvidia.com), Yann LeCun dropped a gem: LLaMA 3—Meta’s open-source LLM—emerged from a small Paris FAIR (Fundamental AI Research) team, outpacing Meta’s resource-heavy LLM bets. LeCun, speaking March 19 (X @MaceNewsMacro)

IT came out of nowhere,” beating GPT-4o in benchmarks (post:0, July 23, 2024). This lean, local win thrilled the younger crowd—renewable generation vibes—since LLaMA 3’s 405B model (July 2024, huggingface.co) is free for all, from Mumbai coders to Nairobi startups.

Good News: Indian youth grabbed it—Ambani praised Zuckerberg at Mumbai (October 24, 2024, gadgets360.com) for “democratizing AI.” Modi’s “import intelligence” mantra (2024, itvoice.in) synced, with LLaMA 3 fueling Hindi LLMs (gadgets360.com). LeCun’s 30-year neural net legacy (NYU, 1987-) bridged Paris to India—deep learning’s next leap, compute-cheap and youth-led. old top page :...
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Thursday, November 14, 2024

 From Nvidia's newsroom - japan partners  to take tech hi-road w3hile India takes the masses road 

NVIDIA AI Summit Japan—NVIDIA today announced that Japan cloud leaders SoftBank Corp., GMO Internet Group, Highreso, KDDI, Rutilea and SAKURA internet are building AI infrastructure with NVIDIA accelerated computing, networking and software to accelerate transformation across the nation’s robotics, automotive, healthcare and telecom industries.

The services from Japan’s cloud providers are supported through a Japan Ministry of Economy, Trade and Industry (METI) program to supply critical compute resources across industries. The cloud providers are operating their AI data centers across the country’s central, northern and western regions to support development with national and regional NVIDIA accelerated computing infrastructure.

“Japan’s companies stand to benefit tremendously from the new industrial revolution powered by AI,” said Jensen Huang, founder and CEO of NVIDIA. “Company employees will supercharge their speed and productivity by automating work with AI agents. Industrial companies of tomorrow will operate dual factories — new AI factories to produce software intelligence for the products and machines their factories make today. Working with NVIDIA, Japan’s cloud providers are building the AI factories essential to reinvent the country’s automotive, robotics, telecommunications and healthcare industries for the age of AI.”

Japan Cloud Services Across Nation Support Industries With NVIDIA AI
SoftBank Corp. has adopted the NVIDIA Blackwell platforms to build Japan’s most powerful AI supercomputers, including the world’s first NVIDIA DGX SuperPOD™ with NVIDIA DGX B200 systems.

SoftBank Corp. is using its NVIDIA AI infrastructure to accelerate a broad range of industries, including its subsidiary SB Intuitions, which is using NVIDIA AI for the research and development of high-performance Japanese-native large language models (LLMs).

GMO Internet Group is launching its GMO GPU Cloud, which will be the first local cloud offering in Japan featuring full-stack NVIDIA H200 Tensor Core GPUs, the NVIDIA Spectrum-X™ Ethernet platform for AI, NVIDIA BlueField™-3 DPUs and the NVIDIA AI Enterprise software suite. Built on Dell PowerEdge servers, the service is expected to come online this month to provide cloud-based AI computing for businesses in Japan.

GMO GPU Cloud customers will be able to use NVIDIA AI Enterprise software to accelerate their generative AI applications running in production on the platform.

Highreso is accelerating AI development in Japan with the establishment of Highreso Kagawa, a dedicated AI data center powered by NVIDIA accelerated computing. Built with NVIDIA H200 Tensor Core GPUs, the Kagawa data center is expected to begin operations next month and will provide high-performance infrastructure for Highreso’s GPUSOROBAN AI Supercomputer Cloud service.

A second Highreso AI data center is scheduled to come online next summer. Together, they will provide researchers and businesses across Japan with access to 1,600 NVIDIA GPUs, helping foster AI development in manufacturing, research and educational institutes.

KDDI is launching AI computing infrastructure built with NVIDIA HGX™ systems to support generative AI and specialized LLM development in collaboration with its ELYZA business group. With NVIDIA software, KDDI customers can use the infrastructure to accelerate AI model training and inference, build digital twins and run simulation workloads for autonomous vehicles, robotic motion control and sensor data processing.

KDDI is also planning a liquid-cooled data center that is expected to feature the NVIDIA GB200 NVL72 platform with NVIDIA GB200 Grace Blackwell Superchips.

Rutilea, an NVIDIA Inception member based in Kyoto, is doubling the NVIDIA Hopper™ computing available in its AI cloud data center. The startup is providing more than 1,000 NVIDIA Hopper GPUs, which will be used for LLM development by customers building foundation models for animation, retail and food services, vision-based editing and data extraction.

Additionally, Rutilea subsidiary AI Fukushima began operations of a new data center in Okuma, Fukushima, in September to support continued industry recovery following the 2011 Tohoku earthquake. AI Fukushima, which operates the infrastructure implemented by Rutilea, aims to contribute to the revitalization of the regional economy and local development by providing cutting-edge AI computing platforms.

SAKURA internet plans to expand its Koukaryoku cloud services for generative AI from 2,000 to nearly 4,000 NVIDIA Hopper GPUs. It also plans to install NVIDIA HGX B200 infrastructure with Blackwell GPUs at its Ishikari data center, which is expected to be fully powered by renewable energy by 2027. SAKURA internet intends to provide approximately 10,800 GPUs as part of its high-performance AI computing offering.

SAKURA internet customers include the National Institute of Informatics (NII), a public-sector research organization. NII has established the Research and Development Center for Large Language Models and is promoting collaboration among industry, government and academia in Japan through open generative AI research and development activities, including the development of Japanese-centric medical LLMs. Japan-based driving software startup TIER IV is also using NVIDIA-accelerated SAKURA internet computing in its vision to develop intelligent vehicles with its open-source software.

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