DIRS.INFO The most relevant business & tech news

☆ Nvidia's stock tripled last year on AI excitement. What to expect as the next stage unfolds
▼ + stars: | 2024-01-08 | by ( Samantha Subin | ) www.cnbc.com time to read: +5 min

The company's stunning progress garnered the love of Wall Street, with analysts upping their price targets on the stock to account for future growth and naming it among their top AI picks. Nvidia's 'iPhone moment' Few could have predicted the frenzy ChatGPT would create when it debuted in late 2022, but no company could have been better prepared for the excitement than Nvidia. What to expect in 2024 Many on Wall Street don't foresee Nvidia hype dying down in the new year. In fact, many investors expect shares to keep rising as long as the company can smash expectations and guide higher. That's a feat many on Wall Street expect the company to accomplish, with the consensus price target implying another 35% upside for shares, according to FactSet.

Persons: Paul Meeks, Karl Freund, Freund, They've, Kim Forrest, Meeks, there'll, Ken Mahoney, Forrest, they've Organizations: Nvidia, Devices, Research, Bokeh Capital Partners, Intel Locations: Nvidia's

☆ Nvidia's stock has climbed as Wall Street bets on A.I. Why investors say its promise is worth the premium
▼ + stars: | 2023-03-30 | by ( Samantha Subin | ) www.cnbc.com time to read: +7 min

NVDA YTD mountain Nvidia shares so far this year Nvidia's stock' is trading at a forward price-to-earnings ratio of roughly 58 times. The focus on Nvidia's capabilities in this area have only grown since it unveiled new AI technologies at its GTC conference. On the heels of the conference, Goldman Sachs called the chipmaker a "key AI enabler," while Bank of America said Nvidia's AI dominance could "reshape the existing tech industry." That's in part because along with the hardware and software, Nvidia offers the engineers and relationships with both end-users and research organizations, which could stunt competitor plans from the get-go, Freund explained . Because so many engineers are already using Nvidia's software, some companies may face resistance if attempting to transition to a new language, explained Pieran Maru, an investment analyst at global asset management firm GAM Investments.

☆ Synopsys spreads AI throughout its chip design tools
▼ + stars: | 2023-03-29 | by ( Stephen Nellis | ) www.reuters.com time to read: +2 min

Synopsys first released an AI tool for one part of the chip design process three years ago, and with customers like Samsung Electronics Co Ltd (005930.KS) and ST Microelectronics (STM.DE) using the system. The tools Synopsys released Wednesday at its annual user conference in Santa Clara, California, spread much further across the chip design process. Synopsys is in a race with Cadence Design Systems (CDNS.O), its largest competitor, to add AI to chip design software. While some of the Synopsys tools released Wednesday are catching up to Cadence, Karl Freund, principal analyst with Cambrian AI research, said Synopsys is ahead, with more than 100 chips by customers using its AI tools coming to market. "I think they'll probably be at 1,000 (completed chip designs) by the end of the year."

OAKLAND, California, March 28 (Reuters) - Artificial intelligence chip startup Cerebras Systems on Tuesday said it released open source ChatGPT-like models for the research and business community to use for free in an effort to foster more collaboration. Silicon Valley-based Cerebras released seven models all trained on its AI supercomputer called Andromeda, including smaller 111 million parameter language models to a larger 13 billion parameter model. Cerebras said the smaller models can be deployed on phones or smart speakers while the bigger ones run on PCs or servers, although complex tasks like large passage summarization require larger models. Most of the AI models today are trained on Nvidia Corp's (NVDA.O) chips, but more and more startups like Cerebras are trying to take share in that market. The models trained on Cerebras machines can also be used on Nvidia systems for further training or customization, said Feldman.

Now, the United States is going after China's advanced computing and supercomputer industry. The provision called the foreign direct product rule, or FDPR, was first introduced in 1959 to control trading of U.S. technologies. So they expanded the FDPR to control trade of chips made using U.S. technology or tools. The latest move would ban any semiconductor manufacturing firm that uses American tools - which most do - from selling advanced chips to China, said Karl Freund, a chip consultant at Cambrian AI who watches the supercomputing space. In that case, it could take China five to 10 years to catch up to today's technology, he added.

Search resuls for: "Karl Freund"

5 mentions found