Nvidia's red-hot rally to start 2024 has pushed many Wall Street analysts to adjust their targets
at least 5 firms hiking price targets on the artificial intelligence-darling this month. This week, UBS lifted its target to $850 from $580, Mizuho raised its target to $825 from $625. Demand for Nvidia’s H100 AI accelerators continues to outstrip supply, Mizuho’s Vijay Rakesh wrote in a client note, calling the stock the best AI play. Source: Bloomberg, HolgerZ
In Case You Missed It: On February 8th the Wall Street Journal reported that OpenAI CEO Sam Altman wants to raise up to $7 trillion
For a “wildly-ambitious” tech project to boost the world’s chip capacity, funded by investors including the U.A.E. — which in turn will vastly expand its ability to power AI models. To put numbers in perspective: $7 TRILLION is around ~10% of global GDP…Or the combined market cap or BOTH Microsoft & Apple. That means he wants to totally reshape the global semiconductor industry. By the way, where will all the energy needed come from? Source: VB, Creative Capital, WSJ
Google pledges 25 million euros to boost AI skills in Europe
Google opens new tab has pledged 25 million euros ($26.98 million) to help people in Europe learn to use artificial intelligence (AI). Announcing the funding on Monday, the tech giant said it had opened applications for social enterprises and nonprofits that could help reach those most likely to benefit from training. The firm will also run a series of “growth academies” to support companies using AI to scale their companies and has expanded its free online AI training courses to 18 languages. The data centre will be located in the town of Waltham Cross, about 15 miles (24.14 km) north of central London. source : reuters
LESS IS MORE... or MORE WITH LESS.
This data is eye-opening. The number of workers needed at S&P 500 companies to generate $1 million in revenue has gone from: 7+ in pre-1990 period to only 2 in 2024 With AI developments, this metric is likely to continue declining Source: Game of Trades
$NVDA's top 4 customers account for 40% of revenues, and every one of them is actively working on their own custom AI silicon.
AI capex will keep flowing to NVDA in the short run, but what will happen when initial training is done and inference is done locally? Source: Supreme Bagholder
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#humor
Google searches for AI just hit a new high
Source: Bespoke
🚨 Breaking news: Google just launched LUMIERE, the latest AI model for video generation. Lumiere is expected to transform the future of VIDEO forever
Lumiere can generate video from different inputs, including text-to-video, which works like a regular image generator and generates a video from a text prompt, and image-to-video, which takes an image and uses its accompanying prompt to bring the photo to life in a video. The model can also put a fun spin on video generation through stylized generation, which uses a single reference image to generate video in the target style using a user prompt. In addition to generating video, the model can be used to edit existing video through various visual stylizations that modify a video to reflect a specific prompt, cinemagraphs that animate a specific area of a photo, and inpainting, which fills in missing or damaged areas in the video. Source: Shruti Mishra, www.zdnet.com
