Cerebras Systems Inc. (NASDAQ:CBRS – Get Free Report)’s stock price rose 9% during mid-day trading on Monday . The company traded as high as $196.27 and last traded at $197.92. Approximately 3,283,209 shares were traded during mid-day trading, a decline of 58% from the average session volume of 7,757,777 shares. The stock had previously closed at $181.59.
Wall Street Analysts Forecast Growth
CBRS has been the subject of a number of recent research reports. TD Cowen initiated coverage on shares of Cerebras Systems in a report on Monday, June 8th. They set a “buy” rating and a $275.00 price target for the company. Barclays initiated coverage on shares of Cerebras Systems in a research note on Monday, June 8th. They set an “overweight” rating and a $280.00 price objective on the stock. Wedbush lifted their target price on shares of Cerebras Systems from $270.00 to $280.00 and gave the stock an “outperform” rating in a research note on Wednesday, June 24th. Zacks Research upgraded Cerebras Systems to a “hold” rating in a report on Tuesday, June 9th. Finally, UBS Group increased their price target on Cerebras Systems from $300.00 to $320.00 and gave the stock a “buy” rating in a research note on Wednesday, June 24th. One analyst has rated the stock with a Strong Buy rating, nine have given a Buy rating and one has assigned a Hold rating to the stock. According to data from MarketBeat.com, the stock currently has a consensus rating of “Buy” and a consensus price target of $299.30.
Check Out Our Latest Analysis on Cerebras Systems
Cerebras Systems Stock Up 18.0%
About Cerebras Systems
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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