Cerebras Systems (NASDAQ:CBRS) Upgraded to Strong-Buy at TD Cowen

TD Cowen upgraded shares of Cerebras Systems (NASDAQ:CBRSFree Report) to a strong-buy rating in a research note issued to investors on Monday morning,Zacks.com reports.

A number of other research firms have also commented on CBRS. Wall Street Zen raised Cerebras Systems from a “sell” rating to a “hold” rating in a report on Sunday, May 31st. Craig Hallum initiated coverage on Cerebras Systems in a report on Monday. They issued a “buy” rating and a $325.00 price objective for the company. Needham & Company LLC initiated coverage on Cerebras Systems in a report on Monday. They issued a “buy” rating and a $300.00 price objective for the company. Morgan Stanley initiated coverage on Cerebras Systems in a report on Monday. They issued an “overweight” rating and a $250.00 price objective for the company. Finally, Mizuho initiated coverage on Cerebras Systems in a report on Monday. They issued an “outperform” rating and a $300.00 price objective for the company. Four equities research analysts have rated the stock with a Strong Buy rating and six have assigned a Buy rating to the stock. According to MarketBeat, the stock currently has a consensus rating of “Buy” and an average target price of $294.00.

Read Our Latest Stock Analysis on Cerebras Systems

Cerebras Systems Stock Up 18.3%

Cerebras Systems stock opened at $237.83 on Monday. Cerebras Systems has a 12 month low of $196.73 and a 12 month high of $386.34.

Key Cerebras Systems News

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Cerebras Systems Company Profile

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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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