What top creators are saying about Cerebras Systems Inc.(CBRS)

Reported up about 3.5%; the mention did not include a company-level forecast or investment thesis.

Cerebras was described as down roughly 75% from its post-IPO high and about 9% during the session.

The speaker sees potential in inference demand and planned data-center deployments, but notes financial concerns and uncertainty about whether AI investment will generate sufficient returns.

Online criticism and a fund's short thesis were discussed, but the streamer did not clearly endorse either side or provide financial or valuation analysis.

Cerebras was mentioned among high-beta names and in connection with a potential partnership involving Oracle. No specific investment analysis was provided.

Shares reportedly fell from $380 to $117 after a brief successful IPO period, illustrating the volatility of AI-related listings.

The technology was described as real, but a roughly 70-times-sales valuation and reported capacity limitations in serving OpenAI raised valuation and execution concerns.

Described as falling sharply, with no company-specific investment analysis.

Mentioned as an example in a discussion of IPO allocations; the speakers cautioned that receiving a large allocation can indicate weak demand and provided no current offering details or recommendation.

Faces customer-concentration, execution, and sentiment risks, including uncertainty about OpenAI demand and upcoming share unlocks.

Shares fell about 10% and traded at roughly 90 times sales as the market reassessed AI and semiconductor-related valuations.

Mentioned in market commentary without a specific recommendation or price target.

The stock rebounded after Sam Altman reportedly said OpenAI and Cerebras remained close partners, though the speakers described the recovery as initially weak and expressed uncertainty about further downside. The transcript's ticker should be independently verified.

Shares reportedly rebounded as much as 10% after partnership reassurance from Sam Altman, but the speaker questioned the rebound's strength and noted uncertainty about the ticker and public-market status.

Shares reportedly rose roughly 8%–11% after a Sam Altman post described the companies as close partners with deep engagement on speed. The move was attributed to partnership speculation; no confirmed new deal or financial details were provided.

The author is extremely bullish, citing reported Ultrafast inference revenue of about $200 million per megawatt annually and throughput of 750 tokens per second. Capacity is reportedly sold out, and customers are said to pay a premium and buy more capacity.

The author sold the asset at a 1.64% loss, citing uncertainty about ultrafast-chip use, an upcoming share lockup expiration, and insider selling.

Near-term outlook was bearish: the stock had fallen below its IPO price, an anticipated OpenAI use case was uncertain, Nvidia was reported to have a performance advantage, and insider selling followed a share unlock. The company needs a new catalyst and evidence of customer adoption.

Mentioned as a name to learn and trade, with advice to keep position sizes small; no company-specific thesis or directional view was provided.

The speaker cautioned against shorting Cerebras, citing OpenAI's use of its product, but provided no clear buy recommendation or assessment of the relationship's financial impact.

Cerebras shares reportedly fell about 8% after an OpenAI model was said to be running on NVIDIA GPUs rather than Cerebras hardware. OpenAI was cited as 31.5% of Cerebras revenue, highlighting customer concentration risk; the ticker's status was not established.

The author sold the position for a 1.64% loss, citing insider selling and an upcoming share lockup expiration.

COO Dhiraj Mallick reportedly filed to sell company stock, and the post suggests that his sale of 38,889 shares may signal declining confidence. It also alleges that OpenAI's GPT-6 ultrafast does not use Cerebras Wafer Scale Engines.

Shares were down about 6%. Nvidia competition and GPT workloads running on Nvidia were cited as concerns, while OpenAI's use of Cerebras technology was a positive counterpoint.

Shares fell after a report said an OpenAI model was using NVIDIA GPUs rather than Cerebras chips, coinciding with a large share unlock. Customer concentration and deployment proof were highlighted as concerns.

Cerebras fell after a report that OpenAI's latest model was running on Nvidia GPUs rather than Cerebras hardware; OpenAI reportedly accounted for about 31.5% of Cerebras revenue, raising customer-concentration concerns.

Mentioned as an example of a chip company that could be involved in neocloud or data-center activity; no specific stock recommendation or investment outlook was provided.

Described as an exciting stock to learn about, without a specific buy recommendation or business analysis.

Mentioned descriptively in an AI infrastructure supply-chain discussion, without a specific investment recommendation.

Shkreli called Cerebras an interesting stock to learn about and trade, but gave no specific investment thesis or target.

Expectations indicate the upcoming Cerebras CS-6 will feature hybrid bonded DRAM on the SRAM wafer, slated for around 2029.

Seeing upward momentum with an 18% gain over the past month amid accelerating demand for specialized AI inference silicon.

Opened a mean-reversion short position following a sharp 14% to 18% intraday price spike viewed as disconnected from immediate fundamentals.

Reported a double beat on top and bottom lines with core revenue up 103% year-over-year, but shares faced downward pressure due to a higher-than-expected jump in operating expenses and sequentially dropping gross margins.

Highly speculative and volatile with concerns regarding poor profit margins, making it a tactical trading vehicle.

Experienced massive momentum surge driven by a partnership with CrowdStrike, benefiting from the thesis that value accrues to underlying compute providers.

Peer in the inference space moving toward public markets to provide investor liquidity.

Critical infrastructure partner for OpenAI, enabling industry-leading inference speeds of 750 tokens per second.

Attempting to beat NVIDIA with specialized architectures, but faces risks of obsolescence due to NVIDIA's fast-evolving ecosystem.

Highly anticipated IPO candidate with a 20x speed advantage in AI inference and a $20 billion hardware partnership.

Preparing for an IPO and securing deals with major AI players like OpenAI.

Experiencing unprecedented demand with a $25 billion backlog and breaking Moore’s Law through massive performance gains.

The company has a $25 billion backlog and claims to have broken Moore’s Law with architecture optimized for high-intensity AI reasoning tasks.

OpenAI is launching GPT-5.6 inference on Cerebras, suggesting strong demand for ultra-fast inference.

Potential market mispricing following a 35% post-IPO drop; positioned well for high-volume token output and the shift toward AI agents.

High valuation relative to flat growth, low margins, and significant customer concentration risk.

Maintains partnership with OpenAI, though OpenAI is diversifying into custom silicon with other partners.

Stock dropped 16% following news of OpenAI's internal chip development, highlighting vendor risk.

Author reversed previous bearish stance and $0 price target, now committed to helping the company become a power house for future success.

Extreme bearish sentiment due to perceived leadership failure and value destruction by the CEO.