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Japan Invests 1 Trillion Yen in Physical AI, 17 Key Strategic Areas Define the Future Industrial Landscape

Japan's investment blueprint to FY2040 mobilizes over 370 trillion yen across 17 strategic areas, with Physical AI as the core at 10.5 trillion yen. It refers to systems that perceive, decide and execute physical operations, targeting industrial automation, unmanned transport and infrastructure inspection to counter labor shortages.....

11.7k 3 hours ago

GitLab Announces Restructuring and Layoffs of 14%: Comprehensive Reconstruction of Git Infrastructure to Handle a Hundredfold AI Workload

GitLab announces layoffs of ~14% (about 350 employees) and exits 22 countries as part of a restructuring plan. The move aims to streamline management, reallocate resources, and boost infrastructure investment to handle AI-driven traffic surges. CEO Bill Staples notes AI agents operate at machine scale, exceeding traditional infrastructure limits.....

12.1k 19 hours ago

Mistral AI Fully Transforms into a Full-Stack Service Provider, Building a Competitive Advantage in European Computing Power and Customization

Mistral AI announced a full transformation at the Paris Summit, evolving from a model research company to a full-stack AI provider covering computing power, models, and applications. To gain computing autonomy, it has built a 40 MW data center in Paris and plans heavy investment in infrastructure to compete globally in large models.....

75.6k 6 hours ago

Spend 7.5 Billion Euros! SoftBank Fully Invests in European Computing Power, Plans to Build a Super Data Center Cluster in France

SoftBank Group announces an investment of up to €75 billion ($87 billion) in France to massively expand data center capacity, targeting an additional 5 GW of computing infrastructure. The project will be phased, with the first phase already initiated, marking a major commitment to global AI infrastructure.....

14k 12 hours ago

AI Products

MTIA

Meta Training and Inference Accelerator (MTIA) is Meta's self-developed next-generation AI training and inference acceleration chip. Compared to the previous generation, MTIA v2 has significantly improved computing power and memory bandwidth, enabling more efficient support for Meta's sorting and recommendation model applications. This is a significant achievement in Meta's continuous investment in self-developed hardware infrastructure, which will bring new capabilities to Meta's AI products and services.

Hardware infrastructure

9.4k

Models

Claude Opus 4.1

Anthropic

$105

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$525

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200

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GLM-4.5-AirX

Chatglm

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128

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GLM-4.5-Air

Chatglm

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128

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Gemma 3n E2B Instructed

Google

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Pangu-MM-M2-AIGVideo-1.0.0

Huawei

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GLM-Z1-Air

Chatglm

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128

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GLM-Z1-AirX

Chatglm

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128

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Yi-Lightning

01-ai

$0.99

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$0.99

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Gemma 2 9B

Google

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Yi-Medium

01-ai

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Yi-Large

01-ai

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Yi-Large-Turbo

01-ai

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Yi-Large-RAG

01-ai

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Yi-9B-200K

01-ai

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200

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Yi-9B

01-ai

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Yi-6B-Chat

01-ai

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Yi-34B-Chat

01-ai

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Yi-6B-200K

01-ai

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200

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Yi-34B-200K

01-ai

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200

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Yi-34B

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