CBRS

Cerebras Systems Price

Closed
CBRS
$253.58
-$29.26(-10.34%)

*Data last updated: 2026-05-25 05:25 (UTC+8)

As of 2026-05-25 05:25, Cerebras Systems (CBRS) is priced at $253.58, with a total market cap of $56.39B, a P/E ratio of 281.51, and a dividend yield of 0.00%. Today, the stock price fluctuated between $250.27 and $288.99. The current price is 1.32% above the day's low and 12.25% below the day's high, with a trading volume of 11.78M. Over the past 52 weeks, CBRS has traded between $250.27 to $338.87, and the current price is -25.16% away from the 52-week high.

CBRS Key Stats

Yesterday's Close$281.86
Market Cap$56.39B
Volume11.78M
P/E Ratio281.51
Dividend Yield (TTM)0.00%
Diluted EPS (TTM)1.10
Net Income (FY)$237.82M
Revenue (FY)$509.99M
Revenue Estimate$0.00
Shares Outstanding200.06M
Beta (1Y)0

About CBRS

Cerebras Systems Inc. operates as an artificial intelligence infrastructure company. It designs and manufactures an AI compute platform that comprises of proprietary systems and software that is delivered in racks for deployment in data centers up to supercomputer scale. The company's pioneering wafer-scale engine, a chip encompassing a silicon wafer, designed to enable higher performance and speeds than GPUs for the computational demands of inference, Generative AI, and other AI applications. Its customers include hyperscalers, foundation model labs, AI-native and digital-native businesses, enterprises, and leaders of Sovereign AI initiatives. The company has operations in the United States, Europe, the Middle East, Africa, and internationally. Cerebras Systems Inc. was founded in 2015 and is headquartered in Sunnyvale, California.
SectorTechnology
IndustrySemiconductors
CEOAndrew D. Feldman
HeadquartersSunnyvale,CA,US
Official Websitehttps://www.cerebras.ai

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Cerebras Systems (CBRS) is currently trading at $253.58, with a 24h change of -10.34%. The 52-week trading range is $250.27–$338.87.

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Cerebras Systems (CBRS) Latest News

2026-05-20 03:49Trader Opens $7.5M Short Positions on SPCX and CBRS with 3x Leverage on May 20According to HyperInsight, on May 20, a trader opened short positions on Hyperliquid with 3x leverage: 9,220 shares of SpaceX (SPCX) valued at $1.88 million, and 18,130 shares of Cerebras (CBRS) valued at $5.63 million. The combined position size totals approximately $7.5 million, with current unrealized losses exceeding $50,000.2026-05-18 05:29Trader Loracle Takes $2M Profit on CBRS Short Position, Reduces Exposure After Nasdaq Listing RallyAccording to BlockBeats, on May 18, trader Loracle closed portions of his short position on CBRS (Cerebras) with profits near $2 million. The position size decreased from $11.3 million to $6.47 million overnight, with remaining unrealized gains of $1.52 million, representing 40% profit on the remaining open interest. Loracle entered the short trade following Cerebras' Nasdaq debut and subsequent rally last week.2026-05-16 09:47Cerebras 2X Leveraged ETF (CBRG) Launches Hours After Underlying Asset Begins TradingAccording to Bloomberg analyst James Seyffart, the 2X leveraged Cerebras Systems ETF (CBRG) launched on May 16, just hours after its underlying asset CBRS began trading on May 15 afternoon. This marks one of the fastest turnarounds from underlying asset debut to leveraged ETF launch, compressing the typical ETF issuance cycle to near-minimal timeframe.2026-05-15 14:25Cerebras 2x Leveraged ETF (CBRG) Launches Hours After Underlying Asset Begins TradingAccording to Bloomberg analyst James Seyffart, the 2x leveraged Cerebras Systems ETF (CBRG) launched on May 15, just hours after its underlying asset CBRS began trading on May 14 afternoon. The rapid turnaround compressed the traditional ETF issuance timeline to an extreme level, demonstrating accelerating product development speed in the ETF market.2026-05-15 06:59CBRS (Cerebras) Perpetual Contract has been listed on Gate, supporting trading with up to 20x leverageGate News reports that, according to an official Gate announcement, Gate Contracts has launched CBRS/USDT Perpetual Contract Derivatives trading, supporting 1-20x leverage for long and short positions. CBRS (Cerebras) is a pioneer of wafer-scale AI processors, focusing on designing and providing high-performance processors suitable for AI training and inference. Its product portfolio includes inference systems, AI supercomputers, AI model services, cloud solutions, and systems and processors. The perpetual contract is settled in USDT, and the leverage ratio can be selected by users when placing an order.

Hot Posts About Cerebras Systems (CBRS)

MrDecoder

MrDecoder

10 hours ago
Artificial intelligence (AI) chipmaker **Cerebras Systems** (CBRS 8.90%) went public on May 14 amid much buzz. The stock popped by 68% on its first day of trading -- a sign, according to experts, that the AI trade is alive and well. The hype around this initial public offering makes sense, given that Cerebras is competing with major chip designers like **Nvidia** (NVDA 1.86%) and **AMD**, both of which have performed extraordinarily well in recent years. Investors were likely even more excited to read in Cerebras' registration statement that the company says its chips are 15 times faster than those of leading competitors. While that's undoubtedly intriguing, Nvidia's graphics processing units (GPUs) still have two distinct advantages over Cerebras' chips. Image source: Getty Images. Why Cerebras' chips are different --------------------------------- While most chip designers start the process of making their chips by cutting large silicon wafers into many small pieces that will eventually become individual chips, Cerebras uses an entire silicon wafer to make one massive chip: Its wafer-scale engines (WSEs) are 58 times larger than Nvidia's Blackwell 200 processors.Some news outlets have described Cerebras' chips as being the size of a dinner plate. Expand NASDAQ: CBRS ------------ Cerebras Systems Today's Change (-8.90%) $-25.08 Current Price $256.78 ### Key Data Points Market Cap $56B Day's Range $250.27 - $285.00 52wk Range $185.00 - $386.34 Volume 11.8M Avg Vol 12.7M Gross Margin 39.03% Larger chips certainly have some advantages in data centers because more memory and processing power can be packed onto them. Cerebras says its WSE-3 model has 250 times more on-chip memory than Nvidia's B200 model and 2,625 times more memory bandwidth. Having more memory on the chip helps address data-processing bottlenecks that smaller GPUs face, such as fetching data from other GPUs or from external memory adjacent to the chip. While that could make Cerebras' chips competitive or even better in certain situations, here are two reasons Nvidia shareholders are not panicking. 1. Smaller chips are advantageous in some ways ---------------------------------------------- While Cerebras naturally focuses on the disadvantages of its rivals' chips, there are scenarios in which smaller chips can offer advantages, primarily because they provide customers with more flexibility. For one, wafer-sized chips are more expensive to make, and they contain many more cores than smaller ones. If enough parts of one of Cerebras' massive chips are defective, the whole (expensive) chip may have to be tossed. Though the company designed its chips with redundancies to reduce the odds of that happening, defects do occur in all chip manufacturing processes.  Furthermore, not all AI tasks require the full power of a WSE-3. Smaller tasks require fewer GPUs, so small to mid-size companies looking to deploy AI applications are likely to find more cost-effective solutions from companies like Nvidia. And Nvidia GPUs can be deployed in clusters customized to deliver any processing power capacity required. 2. CUDA ------- But Nvidia's biggest competitive advantage may be its CUDA (Compute Unified Device Architecture) software layer, which currently dominates the space. It's a software platform that enables developers to write code for Nvidia's GPUs -- and generally, that code can only be run on Nvidia's GPUs. The company introduced CUDA in 2006, and over the last two decades, a robust ecosystem has developed around the platform, which has been widely adopted by consumers and businesses. For instance, according to Nvidia, pharmaceutical companies use CUDA to help discover new drugs, automakers use it to enhance their vehicles' autonomous driving capabilities, and retailers use it to analyze customer data that impacts their product recommendations and advertising. Transitioning away from CUDA would be a difficult process. It would not only require rewriting a lot of code, but also operating around that huge existing ecosystem. Not to mention that most developers in the space have worked with CUDA their entire careers, and use tons of other tools developed specifically for CUDA. They are used to those tools, and are efficient with them. Giving all that up would be an unattractive option for most companies. Expand NASDAQ: NVDA ------------ Nvidia Today's Change (-1.86%) $-4.09 Current Price $215.42 ### Key Data Points Market Cap $5.2T Day's Range $214.84 - $221.07 52wk Range $132.92 - $236.54 Volume 5.8M Avg Vol 171.3M Gross Margin 74.15% Dividend Yield 0.02% As of last year, CUDA supported over 900 libraries and AI models, according to Business Insider, with each library corresponding to an industry that is leveraging Nvidia's technology. It is true that Cerebras has built its own software layer to compete with CUDA, but Nvidia has a big head start. Nvidia's competitive moat is comparable to the ones enjoyed by payments companies **Visa **and** Mastercard**, which play vital roles in facilitating payment transactions. Could another company do what those two do from a technological perspective? Sure, but could one replicate their enormous global networks and scale? Well, it hasn't happened yet.
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