"This year, every industry will become a technology industry," NVIDIA founder and CEO Jensen Huang told attendees last Wednesday during the annual J.P. Morgan Healthcare Conference. "You can now recognize and learn the language of almost anything with structure, and you can translate it to anything with structure—so text-protein, protein-text," Huang said in a fireside chat with Martin Chavez, partner and vice chairman of global investment firm Sixth Street Partners and board chair of Recursion, a biopharmaceutical company. "This is the generative AI revolution."

The conversation, which took place at the historic San Francisco Mint, followed a presentation at the J.P. Morgan conference Monday by Kimberly Powell, NVIDIA's VP of healthcare. In her talk, Powell announced that Recursion is the first hosting partner to offer a foundation model through the NVIDIA BioNeMo cloud service, which is advancing into beta this month. She also said that Amgen, one of the first companies to employ BioNeMo, plans to advance drug discovery with generative AI and NVIDIA DGX SuperPOD—and that BioNeMo is used by a growing number of techbio companies, pharmas, AI software vendors and systems integrators. Among them are Deloitte, Innophore, Insilico Medicine, OneAngstrom, Recursion and Terray Therapeutics.

Historically, AMD was working with two semiconductor manufacturing companies: TSMC and GlobalFoundries. According to the latest report coming from Gokul Hariharan, an analyst at J.P. Morgan, AMD could soon tap another semiconductor manufacturer to produce the company's growing list of processors. As the report indicates, AMD could start working with the South Korean giant Samsung and utilize the firm's 4LPP process that represents a second generation of the low-power 4 nm silicon node. This specific node is allegedly the choice for AMD APUs designed to fit inside Google's Chromebook devices, which require low-power designs to achieve excellent battery life.

AMD could realize this move in late 2022, as Samsung's 4LPP node goes into mass production at that point. It means that we could see the first Samsung-made AMD APUs in late 2022 or the beginning of 2023. And apparently, the two company's collaboration could be much more significant as AMD is evaluating Samsung's 3 nm nodes for other products spanning more segments in 2023/2024. There are no official, definitive agreements between the two, so we have to wait for more information and official responses from these parties. Anyways, if AMD decides to produce a part of its lineup at Samsung, the remaining TSMC capacity would ensure that the supply of every incoming chip remains sufficient.

Industry specialists with various analysis groups have stated that they expect the world's current chip supply shortages to not only fail to be mitigated in the first half of 2021, but that they might actually last well into 2022. It's not just a matter of existing chip supply being diverted by scalpers, miners, or other secondary-market funnels; it's a matter of fundamental lack of resources and production capacity to meet demand throughout various quadrants of the semiconductor industry. With the increased demand due to COVID-19 and the overall increasingly complex design of modern chips - and increased abundance of individual chips within the same products - foundries aren't being able to scale their capacity to meet growing demand.

As we know, the timeframe between start and finish of a given semiconductor chip can sometimes take months. And foundries have had to extend their lead times (the time between a client placing an order and that order being fulfilled) already. This happens as a way to better plan out their capacity allocation, and due to the increased complexity of installing, testing, and putting to production increasingly complex chip designs and fabrication technologies. And analysts with J.P. Morgan and Susquehanna that are in touch with the pulse of the semiconductor industry say that current demand levels are 10% to 30% higher than those that can be satisfied by the fabrication and supply subsystems for fulfilling that demand.