Topic
Specialized chips designed to speed AI training and inference, including GPUs, TPUs, and NPUs from vendors like Nvidia, AMD, Google, Huawei, and SambaNova.
Google's first orbital TPU satellite can run its chips for only about 15 minutes before its radiators catch up, Ars Technica reports. Power is the easy part in orbit, so radiator area decides how many chips each satellite can carry.
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Google's orbital compute paper needs Starship to lift 370,000 tons to reach $200-a-kilogram launches, about 180 flights a year for a decade. Its first TPU in orbit will run in 15-minute bursts while Google tests whether a satellite can supply a kilowatt of steady power and keep the chip cool.
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AMD's market value briefly passed $1 trillion for the first time after its shares rose almost 30% in September and broke above $600. CNBC credits demand for processors that run AI agents alongside accelerators, so the price now depends on two chip businesses.
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AMD is paying $8.2 billion in stock for Fei-Fei Li's World Labs, 64% above the startup's last reported valuation, with no revenue disclosed. AMD says Li's team will help shape its future chip roadmaps, a forecast it is buying with shares worth under 1% of its own market value.
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China's industry ministry told ByteDance and Alibaba it intends to approve Nvidia RTX Pro 5500 purchases, and ByteDance is weighing about 1 million cards. Washington has not said whether the card can ship, so Nvidia's China supply belongs in capacity plans as a contingency.
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AMD passed $1 trillion in market value on Sept. 21, 2026, after its data-center revenue more than doubled to $6.7 billion in the second quarter. At about 22 times annualized sales, the price now depends on that growth lasting as the comparison base rises.
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Washington swapped a ban for case-by-case licenses. Bernstein expects Nvidia's China AI chip share to fall to about 8% in 2026, and buyers say domestic parts will take 46% of accelerator budgets.
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The AI chipmaker's shares closed 179 percent above the offer price on Shanghai's Star Market, and the revenue behind that valuation came almost entirely from Tencent, which owns 20 percent of the company and buys most of its chips.
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Rotating chairman David Wang dated both parts and said UnifiedBus superclusters support up to a million AI processors. He also counted more than 1,000 supernodes shipped to over 370 customers, without saying how many chips each one holds.
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The Atlas 960E fits 8 EFLOPS behind Huawei's own optical engines, and the Ascend 960DT arrives three quarters early, while rotating chairman Eric Xu says supply goes to Chinese customers first and dates China's catch-up with its own demand to 2030.
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T-Head has published a basic spec sheet for the Zhenwu V900 and Eddie Wu claimed clusters of up to 500,000 chips, yet the foundry behind the part is still unnamed, and Wu himself named supply shortages as the limit on Alibaba's compute.
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The Zhenwu V900 sat on T-Head's roadmap for the third quarter of 2027 when the M890 shipped in May, and Eddie Wu now says mass production starts in the first quarter, with Hong Kong shares up as much as 5.1%.
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Koray Kavukcuoglu said Gemini 4 is in an early phase of post-training and he wants it released much earlier than the end of the year, with fast iterations to follow. Google's last flagship attempt, Gemini 3.5 Pro, missed three deadlines and never shipped.
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Alibaba says the Zhenwu V900 reaches mass production in the first quarter of 2027. Until then, the checkable evidence of China's accelerator progress is the predecessor's install base across more than 400 external customers.
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Alibaba says the Zhenwu V900 trebles the performance of its previous accelerator and can run in clusters of up to 500,000 units. The supply question behind those clusters went unanswered at the launch.
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A SiliconAngle opinion piece written from inside the AI semiconductor business says commodity inference would grow the market. Teams that ration tokens today still have to decide whether their caps are configuration or architecture.
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The first VDPU samples are back from fab and go into system evaluation in the fourth quarter. Everything Dnotitia has published so far, including the 5.77x throughput claim, was measured on a four-card FPGA rig.
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On Alphabet's Q1 2026 call Sundar Pichai put cloud backlog above $460 billion, close to six years of cloud revenue at the current rate, while giving Gemini Enterprise's paid user base as a growth rate alone.
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Nvidia reported $96.2 billion of revenue at 75% gross margins and guided the next quarter to $108.0 billion while assuming nothing from China Data Center compute, with gross margin slipping to 74%.
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Chief financial officer Jean Hu put high-performance computing at $3 trillion by 2030, up from about $2 trillion in July, with the server-CPU slice alone going from roughly $60 billion to roughly $220 billion.
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