AI
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Chip design legend Jim Keller aims for Tenstorrent wins in market 'not well served by Nvidia'
By Anton Shilov published
CEO of Tenstorrent believes that although Nvidia dominates the market of AI processors, there is still a place for Tenstorrent.
China's homegrown OS fires back at AI PCs — openKylin gets AI assistant, text-to-image generation, and local LLM support
By Anton Shilov published
Newest version of homegrown Chinese OS openKylin is "deeply" integrated with AI, but it's not clear if there are any performance requirements for CPUs/NPUs.
AMD acquires Silo AI in $665 million deal to boost its AI solutions pedigree
By Anton Shilov published
AMD strengthens its AI capabilities by taking over Silo AI, a Finnish company that helps enterprises to integrate AI for businesses.
Samsung Foundry to build 2nm processors with HBM for Japanese AI firm
By Anton Shilov published
Preferred Networks inks deal with Samsung Foundry to supply 2nm AI processors in 2.5D packaging.
TSMC's market cap is on track to reach $1 trillion — 6.5 times larger than Intel
By Anton Shilov published
TSMC set to become Asia's first trillion dollar company, thanks to AI frenzy.
China to boost its state-owned compute performance by 30% by 2025, plans to hit 300 exaflops
By Anton Shilov published
China is set to increase its computing capacity to 300 ExaFLOPS by 2025.
Chinese GPU maker Moore Threads' MTLink fabric tech challenges Nvidia's NVLink, can now scale to 10,000 GPUs for AI clusters
By Anton Shilov published
Moore Threads is making significant progress in the data center space and can now scale GPU clusters to 10,000 accelerators.
China's AI model glut is a 'significant waste of resources' due to scarce real-world applications for 100+ LLMs says Baidu CEO
By Jowi Morales published
Industry experts expect China's over 100 publicly-available LLMs to be pared down to just five in the next few years.
AI models that cost $1 billion to train are underway, $100 billion models coming — largest current models take 'only' $100 million
By Jowi Morales published
Anthropic CEO Dario Amodei says AI model training costs could jump to $100 billion as early as next year.
AI industry needs to earn $600 billion per year to pay for massive hardware spend — fears of an AI bubble intensify in wake of Sequoia report
By Anton Shilov published
As AI companies increase their investments in infrastructure, their revenues are not growing that fast, financial analysts note, implying that AI could become a bubble.
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