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38 articles
NVIDIA and South Korea's KAIST are building a $300 million joint research lab in Seoul to develop agentic AI models tailored to the Korean language, backed by yearly compute grants and researcher funding.
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Qualcomm built its business on the Snapdragon chips inside most Android phones — and is now challenging Nvidia with AI chips built for data centers.
Read more →Nvidia CEO Jensen Huang used his first-ever X post to unveil a letter — now signed by 50 firms including Google, Meta and OpenAI — urging Washington not to restrict open-weight AI models.
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AMD Instinct is AMD's line of data-center GPUs built to train and run AI models — the main hardware challenger to Nvidia's dominance in AI computing.
Read more →Etched builds a chip that only runs transformer models, betting narrow focus beats Nvidia's flexibility — and investors are reportedly valuing the three-year-old startup at up to $20 billion.
Read more →Chipmaker Etched is negotiating a funding round that would value it at $20 billion, quadrupling its December price, as investors chase alternatives to Nvidia for AI inference, the Wall Street Journal reported.
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Kimi K3 is a giant open-weight AI model from China's Moonshot AI. Here's what it is, who built it, and why its release rattled Nvidia and chip investors.
Read more →Apple's market value briefly surpassed Nvidia's on July 17 after Moonshot AI's Kimi K3 model revived doubts about AI infrastructure spending, though Nvidia reclaimed the lead by the close.
Read more →NVIDIA said more than 20 Japanese manufacturers and robotics firms, including FANUC, Sony and SoftBank, are building on its Cosmos world-model platform for real-world AI.
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An AI factory is infrastructure purpose-built to turn raw data into AI output at scale. Here's what makes it different from a regular data center, and why governments are now building their own.
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A GPU is a chip built to do thousands of simple calculations at once. That's exactly what training and running AI models requires, which is why GPUs became the AI industry's most valuable hardware.
Read more →Japan's government and a 44-company consortium called Noetra partnered with Nvidia to build a 140-megawatt AI factory powering open foundation models for robotics and manufacturing.
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DeepSeek is the Chinese AI lab whose cheaply trained, open-weight models triggered Nvidia's biggest one-day stock drop and reshaped how the industry talks about AI costs.
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Nvidia makes the graphics chips that train and run most of today's AI models. Here's what the company does and how it became AI's biggest bottleneck.
Read more →Z.ai has released GLM-5.2, a 744-billion-parameter open-weight model that matches GPT-5.5 on key benchmarks and trails Claude Opus 4.8 narrowly — trained entirely on Huawei silicon with no Nvidia hardware.
Read more →The United Nations and ITU announced the AI for Good Global Commission on July 2, assembling 44 founding members — including heads of state and the CEOs of Amazon, Nvidia, and Microsoft — to help ensure AI benefits developing nations and bridges the global digital divide.
Read more →An AI inference chip is specialized hardware built to run trained AI models quickly and cheaply at scale. Here is why every major tech company is now racing to design its own instead of buying from Nvidia.
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