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first_img Storage substrate manufacturer TLB launches SOCAMM3 substrate development

Korean storage substrate manufacturer TLB has started the development of the AI server low-power memory module specification SOCAMM3 substrate with two large domestic and foreign storage manufacturers. According to industry news on the 22nd, TLB recently began negotiating design directions and manufacturing processes with two existing storage customers, with specifications yet to be determined. The storage manufacturers plan to complete the design with the substrate manufacturers before finalizing the specifications, with actual substrate mass production expected in 2028.SOCAMM will make the low-power DRAM for mobile devices into a detachable AI server module, which will be first used by NVIDIA in its own AI servers. SOCAMM2 has developed into a JEDEC standard. Currently, each NVIDIA Vera CPU is equipped with 8 SOCAMM2 based on LPDDR5X, with a maximum capacity of 1.5TB per CPU and a bandwidth of 1.2TB per second. The SOCAMM2 substrate requires five layers, and the number of layers for SOCAMM3 will increase, raising the difficulty of processes such as micro-hole processing. The applicable systems have not been disclosed, and the mass production timeline in 2028 coincides with NVIDIA's roadmap. NVIDIA announced in March this year at GTC that it will launch the Feynman GPU and the new CPU Rosa in 2028.TLB's SOCAMM2 substrate has already entered mass production earlier this year, with production volume and sales in the second quarter increasing more than three times compared to the previous quarter. The production time and unit price are both about twice that of existing module substrates. The industry expects TLB's SOCAMM substrate sales to be around 70 billion Korean won this year, and about 140 billion Korean won next year. Brokers estimate the company's overall revenue this year to be about 350 billion to 370 billion Korean won, a year-on-year increase of about 40%, and around 450 billion Korean won next year. The company will begin construction of its second factory next month in the An Phu Industrial Park in Bac Ninh Province, Vietnam, aiming for production in the fourth quarter of next year, but SOCAMM substrates will still only be produced at the headquarters in Ansan in the short term.

first_img OpenAI acquires Orchestra Bio, AI entities take over drug development

OpenAI announced the acquisition of San Francisco startup Orchestra Bio, which has developed AI agents to help pharmaceutical companies track the progress of drug development projects. Orchestra's team and platform will be integrated into OpenAI's life sciences product line Rosalind, aimed at biologists and chemists, with the transaction amount undisclosed. Orchestra was founded in the fall of 2022, with seed funding from Andreessen Horowitz, Definition Capital, Insight Partners, and 8VC, raising a total of approximately $20 million.According to OpenAI, a new drug can take up to 15 years from initial conception to approval in the United States, and the cost of bringing a single approved drug to market can exceed $2.6 billion, with less than 10% of candidate drugs entering human trials ultimately reaching the market. Orchestra's AI agents can automatically monitor tasks and flag issues, analyze how setbacks like production batch failures affect the overall development project, compile relevant information, and compare response strategies, ultimately allowing scientists and project leaders to make decisions.This acquisition follows competitor Anthropic's acquisition of Coefficient Bio for approximately $400 million in April, reflecting the competition among AI labs for new drug development workflows. In April, OpenAI launched the model GPT-Rosalind specifically designed for biology and drug discovery, available only to vetted U.S. corporate clients such as Amgen and Moderna, with the accompanying product Rosalind Workbench connecting the model to research tools and data.

first_img The Zcash development team plans to allocate independent keys for each ZEC exchange to prevent quantum cracking

The Zakura team, which operates the Zcash network, released a technical article stating that they plan to allocate a unique viewing key for each ZEC exchange completed through NEAR Intents, in order to block future quantum computers from exploiting public refund addresses to piece together user payment histories. NEAR Intents supports cross-chain token exchanges, and when users exchange the privacy coin ZEC for USDC, the service will publish a Zcash address for the user on the NEAR public blockchain, which will be used to return any unused ZEC.The Zcash address contains a public key generated by the wallet's viewing key, which cannot be reverse-engineered by ordinary computers, but large quantum computers running Shor's algorithm could theoretically deduce the key from the address. Zcash wallets can generate multiple seemingly unrelated addresses, but they typically share the same viewing key. Once an attacker cracks it, they can associate all payments received by the account and read the amounts and notes. Zakura's solution allocates a unique viewing key for each exchange, while the spending key remains in the user's main account. Even if the future refund address is compromised, the attacker would only be able to see payments related to that specific exchange.This design also addresses a practical issue: wallets conducting hundreds of exchanges would generate hundreds of keys, requiring each key to scan the entire Zcash chain during backup recovery. Zakura's solution is a privately queryable database that uses private information retrieval technology, so when the wallet inquires about the refund destination, the database will not know the address being queried. Zakura claims that wallets built on its open-source library (including Vizor) will be able to add this feature in the coming weeks, and hardware wallets will follow after firmware support, ahead of the January quantum-resistant payment target set by Zcash developers this month.
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