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hot_img The new AI chip company Etched faces skepticism: Behind the $21 billion valuation, performance has yet to be verified by a third party

AI chip startup Etched recently completed a $700 million financing round at a valuation of $21 billion, but its technology claims are facing industry skepticism. The well-known hacker George Hotz's AI computing team, the tiny corp, publicly criticized Etched's marketing approach: there are many investors, orders, and hardware photos, but there is too little third-party data to truly verify performance.Etched's core selling point is LVI (Low Voltage Inference) technology, claiming it allows trillion-parameter sparse MoE chips to run at over 80% of theoretical peak computing power (MFU). Chip design professional Wesley Yue raised technical doubts about this: high MFU does not necessarily represent absolute performance—if the chip's peak computing power is low, even with an 80% utilization rate, actual performance may still lag behind competitors. Yue believes that Etched's design "does not make sense from first principles" and may be a result of repackaging after its early Transformer ASIC faced power consumption issues.Etched has not yet disclosed complete computing power, power consumption, and third-party benchmark data; the official website only states that "early customer tests have reached leading levels," and detailed performance data will be "released later." There is currently no evidence to prove that Etched is fraudulent. Etched has not publicly responded to this matter.

hot_img Cerebras releases the fourth generation AI inference system CS-4: performance doubled, power consumption doubled, more flexible deployment

Cerebras released its fourth-generation AI inference system CS-4 this week, based on the same 5nm WSE-3 wafer, achieving double the performance by doubling the clock frequency and power consumption. A single CS-4 cabinet accommodates 3 wafers (CS-3 has 2), featuring a modular "backpack" design that simplifies manufacturing and deployment, with a TDP of approximately 125 to 135kW. The CS-4 can provide an inference speed of nearly 4000 tokens/second/user, about twice that of the CS-3, and supports decomposed inference with heterogeneous systems such as AMD and AWS Trainium.Cerebras claims that the CS-4 offers about 2000 times the on-chip memory bandwidth of NVIDIA's Rubin (43PB/s), but the 44GB SRAM capacity remains unchanged, and long-context inference still requires multi-wafer stacking. For example, with the DeepSeek V4 Pro (1.6T parameters), approximately 20 systems are needed for a 1M context window, and about 40 systems are required for 256 concurrent users, corresponding to a CAPEX exceeding 20 million USD. Cerebras is collaborating with clients such as OpenAI and plans to achieve approximately double performance improvements each year, aiming for a 20-fold throughput increase by 2027. The "backpack" cabinet design of the CS-4 will continue into the next-generation "Nexus" platform.

hot_img Upstream raw material supply is tight, PCB manufacturers are preparing for a new round of price increases in the second half of the year

Due to the tight supply of upstream materials such as copper foil substrates and semi-cured sheets, along with continuously rising costs, the price increase trend in the PCB industry continues. Manufacturers such as Kinwong, JINGPENG, Dingying Investment Holdings, and YaoHua have already raised their quotes by approximately 5% to 30% this year, with the benefits of these price increases gradually becoming apparent starting from the third quarter.Industry insiders point out that major CCL manufacturers have raised their product prices by about 20% to 30% in the first half of the year, and there will still be pressure for price increases in the second half of the year through 2027. The supply of high-end electronic fabrics is also tight, with the supply-demand gap for Low DK second-generation fabrics estimated to exceed 60%, and the upward trend may continue until the first half of 2027. The IC substrate market is also continuing the price increase trend, with demand for AI GPUs and ASICs driving prices up, and there is still double-digit room for price increases in the third and fourth quarters, benefiting companies like Unimicron, Kinsus, and Nan Ya. PCB manufacturers indicate that they will adjust prices in a timely manner based on changes in material costs in the second half of the year.
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