AI company Anthropic is considering designing its own AI chips to address the chip shortage. Although the plan is still in its early stages, it may ultimately choose to buy off-the-shelf chips; at present, there is no specific design plan or dedicated team.

Gate News message: On April 9, according to a report from April 10, Amazon CEO Andy Jassy said the company is considering selling its AI chips to other businesses. He also revealed that the annualized revenue outlook for the company’s in-house chip business is expected to exceed $20 billion. This disclosure is rare and highlights the scale of Amazon’s in-house chip business, which produces general-purpose computing chips, AI accelerators, and chips designed to improve the efficiency of the company’s server operations.

Chip startup SiFive completed a $400 million funding round on April 9, valuing the company at $3.65 billion. This round was led by Atreides Management, with participation from Nvidia and others. The funds will be used to expand its influence in artificial intelligence data centers.

Gate News message, on April 1, the stablecoin protocol USD.AI that provides credit to AI announced that applications for the CHIP token airdrop have opened. Both ICO and airdrop participants can apply, with a deadline of May 30. USD.AI said that the token listing date and supported exchanges will be announced soon.

Musk stated that Tesla's fully autonomous driving system can predict pedestrian intentions, with safety exceeding human driving by 10 times. In addition, Tesla has launched the Terafab chip factory, planning to produce 100 billion to 200 billion chips annually to meet its AI computing needs.

Gate News reported that on March 29, the on-chain data platform Glassnode posted on X platform, indicating that the current Bitcoin price is at the lower edge of the cost basis range for new investors ($60,000 to $70,000). Data shows that there has been a certain degree of accumulation within this range, but the overall scale is still below the typical levels that historically drive strong rebounds, with relatively weak chip density. Glassnode stated that the current accumulation structure has constructive significance in terms of its shape, but it still lacks intensity and has not formed a clear upward momentum signal.

The Nasdaq confirms it has entered a correction zone, while Brent crude oil surges past $108. The chip smuggling case has escalated from the courtroom to Capitol Hill, and Apple is turning Siri into an AI supermarket. 1｜The Nasdaq confirms a correction, with oil prices, war, and AI fatigue simultaneously weighing on tech stocks ---------------------------- The Nasdaq dropped 2.38% on Thursday, falling 11% from its record high on October 29 last year, officially confirming it has entered a correction zone. The S&P 500 declined 1.74% to 6,477 points, marking its largest single-day decline since January. The Dow Jones Industrial Average fell 1.01% to 45,960 points. Tech stocks were the hardest hit. Meta declined nearly 8%, with a verdict related to a social media addiction misconduct case serving as the direct trigger. AMD dropped over 7%, and Nvidia fell more than 4%.

SK Hynix has submitted a listing application to U.S. securities regulators, planning to go public on the U.S. stock market in the second half of 2026, with a fundraising target between $9.6 billion and $14.4 billion. The listing aims to enhance the company's global value, with proceeds earmarked for domestic and international chip factory construction; however, it faces opposition from governance forums regarding shareholder equity dilution.

Arm launches its self-developed data center CPU AGI CPU, targeting billion dollars in annual revenue by 2031, transitioning from IP licensing to direct chip sales. Facing competitive risks from self-developed chips, Arm hopes that AI-era computing power demand can support its development.

According to 1M AI News monitoring, OpenAI COO Brad Lightcap stated at the Washington Hill and Valley Forum that memory chip shortages are the primary bottleneck for current AI infrastructure expansion: "Right now it's memory. In the past it was power." Tech companies are consuming increasingly more memory chip capacity, with large-scale purchases of Nvidia AI accelerators being the main driver. Memory shortages have spread from the AI industry to consumer electronics and automotive sectors.