Latest news with #computing
Yahoo
2 days ago
- Business
- Yahoo
OpenAI and Alphabet Inc (GOOGL) to Collaborate to Meet AI Computing Needs
Alphabet Inc. (NASDAQ:GOOGL) is one of the 12 Best Stocks to Buy and Hold for the Long Term. On June 10, Reuters reported that OpenAI has indicated its plans to add Alphabet Inc. (NASDAQ:GOOGL)'s cloud services to meet its growing demand for computing needs. This marks a notable advancement as both the company's are seen as competitors in the AI industry. As per Reuters, the deal was in consideration for months and is said to have been finalized in May. This highlights the massive nature of computing needs required to train and deploy AI models. On the other hand, analysts are seeing this as a major win for Alphabet Inc. (NASDAQ:GOOGL) which will now be supplying computing capacity to OpenAI's existing infrastructure. A user's hands typing a search query into a Google Search box, emphasizing the company's search capabilities. Moreover, Scotiabank analysts also took note of this development calling it a somewhat surprising advancement. The analyst acknowledged the deal to be a win for Google Cloud Unit. They highlighted that the deal underscores that both companies are looking beyond competition to address the growing demand for computing needs. However, the analysts at Scotiabank also expressed caution for Alphabet Inc. (NASDAQ:GOOGL) as ChatGPT is becoming a threat to the company's search dominance. While we acknowledge the potential of GOOGL as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: The Best and Worst Dow Stocks for the Next 12 Months and 10 Unstoppable Stocks That Could Double Your Money. Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
CTV News
5 days ago
- Business
- CTV News
Snowcap Compute raises $23 million for superconducting AI chips
Snowcap Compute, a startup working on building artificial intelligence computing chips using superconducting technology, on Monday raised $23 million and said that the former CEO of Intel will join its board. Snowcap aims to build computers that could one day beat today's best artificial intelligence systems, while using a fraction of the electricity. To do that, Snowcap plans to use a new kind of chip made with superconductors, which are materials that allow current to flow without electrical resistance. Scientists understand superconductors well and have theorized about making computer chips with them since at least the 1990s, but have faced a major challenge: To work, the chips need to be kept very cold in cryogenic coolers which themselves consume a lot of electricity. For decades that made superconductor chips a nonstarter, until AI chatbots ignited huge demand for computing power at the same time that conventional chips are hitting the limits of how much performance they can wring from every watt of power and are taxing electricity grids. Nvidia's forthcoming 'Rubin Ultra' AI data center server due in 2027, for example, is expected to consume about 600 kilowatts of power. That means operating that single server at full capacity for one hour would consume about two thirds the average power that a U.S. house uses in a month. In that kind of changed world, dedicating a portion of a data center's power needs to cryogenic coolers makes sense if the performance gains are good enough, said Michael Lafferty, Snowcap's CEO, who formerly oversaw work on futuristic chips at Cadence Design Systems CDNS.O. Snowcap believes that even after accounting for energy used in cooling, its chips will be about 25 times better than today's best chips in terms of performance per watt. 'Power (efficiency) is nice, but performance sells,' Lafferty said. 'So, we're pushing the performance level way up and pulling the power down at the same time.' Snowcap's founding team includes two scientists, Anna and Quentin Herr, who have done extensive work on superconducting chips at chip industry research firm Imed and defense firm Northrop Grumman as well as former chip executives from Nvidia and Alphabet's Google. While the chips can be made in a standard factory, they will require an exotic metal called niobium titanium nitride that Lafferty said depends on Brazil and Canada for key ingredients. Snowcap plans its first basic chip by the end of 2026, but full systems will not come until later. Despite the long development timeline, Pat Gelsinger, Intel's former CEO who led the investment for venture firm Playground Global and is joining Snowcap's board, said the computing industry needs a sharp break from its current trajectory of consuming ever more electricity. 'A lot of data centers today are just being limited by power availability,' Gelsinger said. Also joining the funding round were Cambium Capital and Vsquared Ventures. (Reporting by Stephen Nellis in San Francisco; Editing by Christopher Cushing)
Yahoo
5 days ago
- Business
- Yahoo
Snowcap Compute raises $23 million for superconducting AI chips
By Stephen Nellis SAN FRANCISCO (Reuters) -Snowcap Compute, a startup working on building artificial intelligence computing chips using superconducting technology, on Monday raised $23 million and said that the former CEO of Intel will join its board. Snowcap aims to build computers that could one day beat today's best artificial intelligence systems, while using a fraction of the electricity. To do that, Snowcap plans to use a new kind of chip made with superconductors, which are materials that allow current to flow without electrical resistance. Scientists understand superconductors well and have theorized about making computer chips with them since at least the 1990s, but have faced a major challenge: To work, the chips need to be kept very cold in cryogenic coolers which themselves consume a lot of electricity. For decades that made superconductor chips a nonstarter, until AI chatbots ignited huge demand for computing power at the same time that conventional chips are hitting the limits of how much performance they can wring from every watt of power and are taxing electricity grids. Nvidia's forthcoming "Rubin Ultra" AI data center server due in 2027, for example, is expected to consume about 600 kilowatts of power. That means operating that single server at full capacity for one hour would consume about two thirds the average power that a U.S. house uses in a month. In that kind of changed world, dedicating a portion of a data center's power needs to cryogenic coolers makes sense if the performance gains are good enough, said Michael Lafferty, Snowcap's CEO, who formerly oversaw work on futuristic chips at Cadence Design Systems. Snowcap believes that even after accounting for energy used in cooling, its chips will be about 25 times better than today's best chips in terms of performance per watt. "Power (efficiency) is nice, but performance sells," Lafferty said. "So we're pushing the performance level way up and pulling the power down at the same time." Snowcap's founding team includes two scientists - Anna Herr and Quentin Herr - who have done extensive work on superconducting chips at chip industry research firm Imed and defense firm Northrop Grumman, as well as former chip executives from Nvidia and Alphabet's Google. While the chips can be made in a standard factory, they will require an exotic metal called niobium titanium nitride that Lafferty said depends on Brazil and Canada for key ingredients. Snowcap plans its first basic chip by the end of 2026, but full systems will not come until later. Despite the long development timeline, Pat Gelsinger, Intel's former CEO who led the investment for venture firm Playground Global and is joining Snowcap's board, said the computing industry needs a sharp break from its current trajectory of consuming ever more electricity. "A lot of data centers today are just being limited by power availability," Gelsinger said. Also joining the funding round were Cambium Capital and Vsquared Ventures.
CNA
5 days ago
- Business
- CNA
Snowcap Compute raises $23 million for superconducting AI chips
SAN FRANCISCO :Snowcap Compute, a startup working on building artificial intelligence computing chips using superconducting technology, on Monday raised $23 million and said that the former CEO of Intel will join its board. Snowcap aims to build computers that could one day beat today's best artificial intelligence systems, while using a fraction of the electricity. To do that, Snowcap plans to use a new kind of chip made with superconductors, which are materials that allow current to flow without electrical resistance. Scientists understand superconductors well and have theorized about making computer chips with them since at least the 1990s, but have faced a major challenge: To work, the chips need to be kept very cold in cryogenic coolers which themselves consume a lot of electricity. For decades that made superconductor chips a nonstarter, until AI chatbots ignited huge demand for computing power at the same time that conventional chips are hitting the limits of how much performance they can wring from every watt of power and are taxing electricity grids. Nvidia's forthcoming "Rubin Ultra" AI data center server due in 2027, for example, is expected to consume about 600 kilowatts of power. That means operating that single server at full capacity for one hour would consume about two thirds the average power that a U.S. house uses in a month. In that kind of changed world, dedicating a portion of a data center's power needs to cryogenic coolers makes sense if the performance gains are good enough, said Michael Lafferty, Snowcap's CEO, who formerly oversaw work on futuristic chips at Cadence Design Systems. Snowcap believes that even after accounting for energy used in cooling, its chips will be about 25 times better than today's best chips in terms of performance per watt. "Power (efficiency) is nice, but performance sells," Lafferty said. "So we're pushing the performance level way up and pulling the power down at the same time." Snowcap's founding team includes two scientists - Anna Herr and Quentin Herr - who have done extensive work on superconducting chips at chip industry research firm Imed and defense firm Northrop Grumman, as well as former chip executives from Nvidia and Alphabet's Google. While the chips can be made in a standard factory, they will require an exotic metal called niobium titanium nitride that Lafferty said depends on Brazil and Canada for key ingredients. Snowcap plans its first basic chip by the end of 2026, but full systems will not come until later. Despite the long development timeline, Pat Gelsinger, Intel's former CEO who led the investment for venture firm Playground Global and is joining Snowcap's board, said the computing industry needs a sharp break from its current trajectory of consuming ever more electricity. "A lot of data centers today are just being limited by power availability," Gelsinger said.
Reuters
5 days ago
- Business
- Reuters
Snowcap Compute raises $23 million for superconducting AI chips
SAN FRANCISCO, June 23 (Reuters) - Snowcap Compute, a startup working on building artificial intelligence computing chips using superconducting technology, on Monday raised $23 million and said that the former CEO of Intel will join its board. Snowcap aims to build computers that could one day beat today's best artificial intelligence systems, while using a fraction of the electricity. To do that, Snowcap plans to use a new kind of chip made with superconductors, which are materials that allow current to flow without electrical resistance. Scientists understand superconductors well and have theorized about making computer chips with them since at least the 1990s, but have faced a major challenge: To work, the chips need to be kept very cold in cryogenic coolers which themselves consume a lot of electricity. For decades that made superconductor chips a nonstarter, until AI chatbots ignited huge demand for computing power at the same time that conventional chips are hitting the limits of how much performance they can wring from every watt of power and are taxing electricity grids. Nvidia's forthcoming "Rubin Ultra" AI data center server due in 2027, for example, is expected to consume about 600 kilowatts of power. That means operating that single server at full capacity for one hour would consume about two thirds the average power that a U.S. house uses in a month. In that kind of changed world, dedicating a portion of a data center's power needs to cryogenic coolers makes sense if the performance gains are good enough, said Michael Lafferty, Snowcap's CEO, who formerly oversaw work on futuristic chips at Cadence Design Systems (CDNS.O), opens new tab. Snowcap believes that even after accounting for energy used in cooling, its chips will be about 25 times better than today's best chips in terms of performance per watt. "Power (efficiency) is nice, but performance sells," Lafferty said. "So we're pushing the performance level way up and pulling the power down at the same time." Snowcap's founding team includes two scientists - Anna Herr and Quentin Herr - who have done extensive work on superconducting chips at chip industry research firm Imed and defense firm Northrop Grumman (NOC.N), opens new tab, as well as former chip executives from Nvidia (NVDA.O), opens new tab and Alphabet's (GOOGL.O), opens new tab Google. While the chips can be made in a standard factory, they will require an exotic metal called niobium titanium nitride that Lafferty said depends on Brazil and Canada for key ingredients. Snowcap plans its first basic chip by the end of 2026, but full systems will not come until later. Despite the long development timeline, Pat Gelsinger, Intel's (INTC.O), opens new tab former CEO who led the investment for venture firm Playground Global and is joining Snowcap's board, said the computing industry needs a sharp break from its current trajectory of consuming ever more electricity. "A lot of data centers today are just being limited by power availability," Gelsinger said. Also joining the funding round were Cambium Capital and Vsquared Ventures.
