Cerebras Systems Inc. (NASDAQ:CBRS – Get Free Report) traded up 9% during trading on Monday . The stock traded as high as $196.27 and last traded at $197.92. 3,283,209 shares were traded during trading, a decline of 58% from the average daily volume of 7,757,777 shares. The stock had previously closed at $181.59.
Wall Street Analysts Forecast Growth
Several analysts recently commented on CBRS shares. Zacks Research upgraded shares of Cerebras Systems to a “hold” rating in a research note on Tuesday, June 9th. Citigroup started coverage on shares of Cerebras Systems in a research report on Monday, June 8th. They set a “buy” rating and a $340.00 target price on the stock. UBS Group increased their target price on shares of Cerebras Systems from $300.00 to $320.00 and gave the company a “buy” rating in a report on Wednesday, June 24th. Wall Street Zen upgraded shares of Cerebras Systems from a “strong sell” rating to a “sell” rating in a research report on Sunday, June 21st. Finally, Craig Hallum initiated coverage on Cerebras Systems in a report on Monday, June 8th. They issued a “buy” rating and a $325.00 price target on the stock. One equities research analyst has rated the stock with a Strong Buy rating, nine have issued a Buy rating and one has given a Hold rating to the company’s stock. According to MarketBeat, the company presently has an average rating of “Buy” and a consensus price target of $299.30.
Get Our Latest Stock Analysis on CBRS
Cerebras Systems Stock Performance
Cerebras Systems Company Profile
Cerebras Systems is a technology company focused on building artificial intelligence infrastructure, including hardware and software designed to accelerate deep learning and large-scale AI workloads. The company is best known for its wafer-scale processor architecture, which is intended to provide high-performance compute for training and inference applications.
In addition to its AI chips, Cerebras offers systems and related software tools that support researchers and enterprises working with machine learning models.
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