News & Updates
The latest news and updates from companies in the WLTH portfolio.
Cerebras: I Waited For This Entry Point (NASDAQ:CBRS) | Seeking Alpha
At $109, CBRS stock valuation still looks expensive today, but 2027 consensus sales imply a much lower 9.5x P/S multiple. With Cerebras Systems Inc. (CBRS) now around $109, I don't think it makes much sense anymore to discuss how expensive the stock was near $386. What matters to me now is whether this big decline has created an Pythia Research focuses on multi-bagger stocks, primarily in the technology sector. Our approach combines financial analysis, behavioral finance, psychology, social sciences, and alternative metrics to assess companies with high conviction and asymmetric risk-reward potential. By leveraging both traditional and unconventional insights, we aim to uncover breakout opportunities before they gain mainstream attention. Our multidisciplinary strategy helps us navigate market sentiment, identify emerging trends, and invest in transformative businesses poised for exponential growth. We don't just follow the market -- we anticipate where disruption will create the next big winners.Markets don't move purely on fundamentals; they move on perception, emotion, and bias. We lean into that reality. Investor behavior, anchoring to past valuations, herd mentality during rallies, panic selling from recency bias, creates persistent inefficiencies. These moments of mispricing often mark the start of a breakout, not the end of one.Rather than avoid psychological noise, we analyze it. When the crowd sees volatility, we assess whether it's driven by emotion or fundamentals. Status quo bias can keep investors blind to companies redefining their category. Fear of uncertainty can delay recognition of businesses with clear but unconventional growth paths. We look for these disconnects.Our process blends deep research with signals others miss: sudden shifts in narrative, early social traction, founder-driven vision, or underappreciated momentum in developer or user adoption. These are often the precursors to exponential moves, if you catch them early.We focus on conviction plays, not safe bets. Each opportunity is evaluated for Risk/Reward profile: limited downside, explosive upside. We believe that the best returns come from understanding where belief is lagging reality. Analyst's Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, but may initiate a beneficial Long position through a purchase of the stock, or the purchase of call options or similar derivatives in CBRS over the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.
Cerebras Executive Says Inference Speed Matters for AI Agents | TokenPost
Andy Hock argued that speed becomes more consequential when one request sets multiple agents to work. Cerebras' up-to-15-times claim applies to selected open models, not full workflows. At the AI Data Pipeline Forum on Oct. 15, Andy Hock, chief strategy officer at Cerebras Systems Inc., argued that inference speed matters more when a single request sets several AI agents to work. "That's where speed really makes the difference," Hock said. He described agents taking on separate tasks and coordinating their work. His point was that speed matters in this setting, where multiple agents contribute to a response. On selected open models, output-token generation on Cerebras systems reached up to 15 times the speed of NVIDIA GPUs. The company's comparison uses its own measurements and an external benchmark from April 14, 2026. It measures token output on selected models, not the time required for a complete task involving several agents. Inference is the stage when an AI model generates an answer; decoding produces that answer one token at a time. The distinction between token-generation speed and the time needed to coordinate a larger task is relevant to Hock's remarks. Cerebras is also positioned for decoding in General Compute's multi-vendor AI platform, which assigns different hardware to separate stages of inference. Cerebras' latest reported quarter ended June 30, 2026. Cloud and other services revenue reached $126 million, up 281% from a year earlier, while hardware revenue fell 23% to $54.1 million. Total GAAP revenue rose 74% to $180.1 million, and the company posted a GAAP net loss of $450.5 million. Higher customer usage, new and expanded customer arrangements, and dedicated capacity deployments mainly drove the increase in cloud and other services revenue. Agent workloads were not identified among the drivers of that increase. The company closed its IPO on May 15, selling 34.5 million shares at $185 each and reporting about $6.38 billion in gross proceeds. The final share count included the full 4.5 million-share underwriter option in addition to the initial 30 million shares.
Cerebras CEO Pushes Back on AI Doomsday Fears - Diaspora Digital Media (DDM News) - Nigeria Breaking News, Africa and World News and Updates
Cerebras CEO Andrew Feldman slammed dark AI doomsday rhetoric at TechCrunch Disrupt 2026, demanding balanced debate over real medical breakthroughs and local data infrastructure. The Cerebras Systems CEO rejected AI doomsday fears at TechCrunch Disrupt 2026, urging executives to focus on real human benefits today. Essentially, Cerebras chief Andrew Feldman has issued a direct message to tech leaders. Feldman spoke on stage at TechCrunch Disrupt this week. In fact, he advised alarmist voices in the sector to stop spreading dark tales. Feldman warned that exaggerated fears drown out the massive promise of modern software. Why Feldman Rejects AI Doomsday Warnings Consequently, Feldman challenged the loudest tech figures driving the current AI doomsday debate. He noted that endless existential warnings create unnecessary public anxiety. Furthermore, these warnings pull attention away from tangible economic and social progress. In fact, dark speculation makes sensible regulation much harder to achieve. Additionally, Feldman emphasized that AI can unlock major scientific discoveries across the globe. For example, the technology could help researchers eliminate deadly diseases such as cancer. Therefore, Feldman urged executives to highlight life-saving innovations rather than science-fiction doom. To track how modern digital tools transform services, see how the Kano govt introduces online platforms for project tracking, procurement to boost accountability. Balancing Real Risk and Technical Progress However, Feldman made clear that he does not ignore genuine computing risks. Any powerful technology carries real dangers when bad actors misuse it. Specifically, Feldman stated that risk management and rapid innovation must advance together. As a result, developers should address existing challenges like algorithmic bias and data privacy. In contrast, focusing purely on speculative runaway machines blinds society to current tools. Feldman noted that hardware creators are making computing systems far more efficient every month. For instance, chipmakers like Nvidia continue pushing forward compute density across modern server racks. Meanwhile, open foundation model makers continue improving their operational efficiency at scale. Overcoming Global Data Center Backlash Furthermore, Feldman addressed growing community pushback against new AI data center construction. He argued that tech giants fail to communicate properly with local communities. For example, energy and oil industries spend decades building public trust in regional towns. In fact, American developers now face intense resistance from local residents. Consequently, other countries are moving rapidly to capture these massive digital investments. Nations like Canada, Sweden, Norway, and Mexico welcome new data facilities with open arms. Therefore, tech firms must listen to residents and share economic rewards locally. Industry analysts at Bloomberg agree that energy demands will reshape future compute facilities. Ultimately, Feldman believes the technology sector must reclaim a positive, grounded vision. Leaders should focus on measurable results rather than spreading panic about theoretical threats. Through this balanced mindset, builders can protect users while delivering vital medical and social gains.
Cerebras CEO Sees Personal AI Assistants Coming to Every Home - Diaspora Digital Media (DDM News) - Nigeria Breaking News, Africa and World News and Updates
Personal AI assistants will soon run daily household routines and tasks as standard home technology, according to Cerebras Systems Chief Executive Andrew Feldman. The next generation of home appliances will feature personal AI assistants that handle daily scheduling, secure purchasing, and complex task planning, according to Cerebras Systems co-founder and Chief Executive Andrew Feldman. Consequently, Feldman delivered this bold forecast on Tuesday during the TechCrunch Disrupt 2026 conference in San Francisco. Additionally, he argued that this shift is not very far away. Feldman explained that digital assistants will move beyond answering simple questions. Ultimately, they will manage household tasks, organize calendars, and run personal errands. A Shift Toward Household AI Appliances Additionally, automated digital systems are moving from novel phone software into vital domestic tools. Feldman argued that artificial intelligence will soon resemble basic household utilities. In fact, people will rely on them just like refrigerators or ovens. Intelligent agents will track personal taste and handle domestic operations. Furthermore, Feldman revealed that he already uses multiple specialized AI agents every day. For example, these agents check his schedule and compile background data on meeting guests. In contrast to standard chatbots, agentic software executes real work without constant prompts. Therefore, families will soon trust secure AI agents to place home grocery orders. Similar technological transformations are shaping public administration, as seen in the digital public projects drive launched recently across several regions. Computing Infrastructure and Local Chips Specifically, running millions of household AI helpers creates massive demands on compute resources. Feldman addressed these scaling challenges during the event panel. However, traditional cloud servers cannot manage all household private requests alone. Data latency and high energy consumption create major hurdles for cloud networks. Consequently, the tech sector is embracing distributed computing architectures. Localized household silicon will handle private decisions inside the residence. Meanwhile, massive centralized facilities will handle heavy model training tasks. In fact, hardware firms like Nvidia and Cerebras are retooling silicon designs for fast inference workloads. Therefore, hybrid computing will allow private home appliances to process data safely. Community Impact and Privacy Concerns Meanwhile, data centers are consuming vast power grids across cities worldwide. Feldman pointed out that the AI sector failed to engage host communities properly. For instance, energy providers communicate closely with local towns during network builds. In contrast, tech firms expanded heavy data infrastructure without enough dialogue. Additionally, privacy advocates warn about giving personal assistants access to credit cards. Global regulators at Reuters have tracked growing scrutiny surrounding automated financial transactions. Therefore, device makers must build strong safeguards into home hardware. Essentially, consumers will only adopt domestic AI if private details stay protected. Ultimately, home personal assistants represent the next frontier of consumer technology. Feldman maintains that this transition will happen much faster than most anticipate. As a result, software developers and hardware creators are racing toward the domestic market.
Not very far away: Cerebras CEO says everyone will have an AI assistant at home soon
Cerebras CEO Andrew Feldman says personal AI assistants will soon manage calendars and shopping in our homes. Imagine a world where you come home, and an AI assistant has already managed your daily tasks. It isn't just answering basic questions, it's organising your calendar and even making secure purchases for you. According to Andrew Feldman, CEO and co-founder of AI chipmaker Cerebras Systems, this futuristic idea is almost a reality. Speaking at the TechCrunch Disrupt 2026 event in San Francisco on Tuesday, Feldman was asked what it would take for AI to become a standard at homes. His answer was clear: "Actually, I don't think that's very far away." More than just chatbots Currently, most people use AI like a highly advanced search engine, you ask a question, and it replies. However, the tech world is moving towards "agentic AI." These are intelligent software systems that can independently search, plan, and organise across different apps. Feldman pointed to the rise of consumer AI agents, such as Meta's Muse and the startup Instinct (now valued at $10 billion), as proof that AI is becoming a part of everyday life. Instead of just giving text answers, these personal AI assistants will work in the background to make our lives easier. How will it work? You won't need a massive computer in your living room. Feldman explained that these future AI assistants will run locally on your devices but share the workload. "Just like your cell phone, they'll do some work on device and some work going back to the cloud," Feldman said. "But I think they will get to know you very well, and you will have a security perimeter around them. And they will certainly have access to credit cards and be able to buy things for you. I think they will make a meaningful impact in making our lives better." The privacy challenge Giving AI access to your daily life, calendar, contacts, and credit cards comes with significant security risks. Feldman stressed the importance of a strong "security perimeter" to protect user data. For a company making AI chips, widespread use of home AI appliances is a great business opportunity. But Feldman isn't just building the hardware; he uses the technology himself. He shared that he uses a "collection of agents" to organise his schedule and brief him on the people he is about to call. While AI is already doing tasks we used to do manually, Feldman is excited about what's next, the new possibilities that weren't possible before. However, he is leaving the consumer-facing ideas to other creators. "One of the reasons I love being in infrastructure is because I don't need the consumer-facing idea I like building the platforms that other people's ideas take flight on," he explained. In simple terms: while we may not have a digital butler in our living room by next week, the foundation is being set. Within the next few years, having a smart AI running your household could become as common as owning a smartphone today.
Micron, Cerebras Systems, SanDisk, Meta and SoundHound AI: Why These 5 Stocks Are on Investors' Radars To
Major U.S. indexes closed mixed on Monday. The Dow Jones Industrial Average rose 0.38% to 51,850.55, while the S&P 500 edged down 0.06% to 7,807.24 and the tech-heavy Nasdaq fell 0.44% to 27,245.90. Geopolitical tensions, third-quarter earnings expectations and upcoming inflation data shaped the broader market backdrop as investors monitored developments surrounding Iran and the Strait of Hormuz. These are the top stocks that gained the attention of retail traders and investors throughout the day. Micron Technology Inc. (NASDAQ:MU) Micron Technology stock fell 3.88% to close at $989.04, trading between $978.50 and $1,002.67; its 52-week range is $186.25 to $1,255. In after-hours trading, the stock declined 1.4% to 975.20. Micron, SK Hynix and SanDisk lost a combined $108 billion in market value on Monday after China's ChangXin Memory Technologies reported advances in chip design that could intensify competition and ease AI-driven memory supply constraints. Micron and SK Hynix each fell 4.5%, while SanDisk dropped 6.6%, as investors weighed the potential impact of increased supply on memory pricing. Tech Mark Zuckerberg Revives His Viral 'Smoking Meats' Meme 10 Years Later -- This Time, Meta's AI Agent Is Helping Watch the Grill Mark Zuckerberg went live to smoke ribs and sausages with friends, marking 10 years since his viral 2016 meat-smoking livestream. 2 min read Read this article Cerebras Systems Inc. (NASDAQ:CBRS) Cerebras Systems dropped 10.69% to $146.62, reaching an intraday high of $161.20 and low of $145.75; its 52-week range is $145.75 to $385. Ad Cerebras shares came under pressure after a SemiAnalysis report suggested OpenAI had switched its fastest GPT-6.1 Sol tier from Cerebras hardware to Nvidia GPUs, though neither company confirmed the change. Shares subsequently rebounded about 9% after OpenAI CEO Sam Altman reaffirmed Cerebras as a "close partner," while Barclays analyst Tom O'Malley said the relationship remained strong. SanDisk Corp. (NASDAQ:SNDK) SanDisk stock declined 5.97% to close at $1,487.33, after moving between $1,464.43 and $1,539.10; its 52-week range is $120.96 to $2,354.39. In after-hours trading, the stock declined 2.24% to $1,454. SanDisk lost approximately $15 billion in market value amid concerns that advances by China's ChangXin Memory Technologies could increase chip supply and pressure memory prices, contributing to a broader $108 billion selloff across major memory stocks. Despite the decline, analysts remained optimistic about AI-driven NAND demand and tight supply through 2027, ahead of SanDisk's Oct. 29 earnings report, when revenue was expected to reach $10.64 billion and EPS $46.22. Meta Platforms Inc. (NASDAQ:META) Meta gained 3.38% to finish at $742.96, with an intraday high of $752.24 and low of $727.64; its 52-week range is $520.26 to $779.82. CNBC's Jim Cramer described Meta as a "monster long" after Sensor Tower data showed its Muse AI app achieved 73.3% Day-1 user retention, compared with ChatGPT's 41.3%. However, ChatGPT overtook Muse by Day 9 and maintained higher Day-14 retention of 26.8%, versus Muse's 22.5%, suggesting Meta's AI app had strong initial engagement but weaker longer-term retention. SoundHound AI Inc. (NASDAQ:SOUN) SoundHound AI lost 7.79% to close at $4.97, trading as high as $5.35 and as low as $4.96; its 52-week range is $4.96 to $22.17. SoundHound AI shares extended their decline amid a broader technology selloff and concerns over integration risks following its $43 million acquisition of LivePerson. The company reported 45% year-over-year second-quarter revenue growth, reflecting a slowdown from previous quarters, while maintaining annual revenue guidance of $230 million to $260 million, excluding contributions from the acquisition. Benzinga Edge Stock Rankings indicate Micron stock has a Momentum score in the 99th percentile and a Value score in the 48th percentile. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
Cerebras Shares Close 11.3% Below IPO Price Months After Debut | TokenPost
Cerebras Systems' Class A shares closed at $164.17 on Friday, below the $185 offering price after opening at $350 on their first Nasdaq trading day. Cerebras Systems' Class A shares closed at $164.17 Friday, Oct. 9, ending 11.3% below the company's $185 IPO price several months after a sharp Nasdaq debut. The stock opened Friday at $169.99, reached a session high of $170.11 and fell as low as $162.48. Trading volume totaled 7,058,722 shares. Cerebras priced its initial public offering at $185 per share on May 13 and began trading on Nasdaq under the ticker CBRS the following day. The stock opened at $350, climbed to $386.34 and finished its first session at $311.07. The company initially offered 30 million Class A shares. Underwriters later exercised an option to purchase an additional 4.5 million shares, bringing the completed offering to 34.5 million shares and producing $6.4 billion in gross proceeds before fees and expenses. The decline places the stock below its offering level after an unusually strong debut and underscores the volatility of AI-related public offerings. The move extends a slide covered in Cerebras' earlier post-IPO decline. Cerebras develops AI processors and systems, including its Wafer-Scale Engine 3, an AI processor built across an entire wafer. The chip is 58 times larger than a leading graphics processing unit and can deliver inference up to 15 times faster in certain benchmarks.
Cerebras shares slip below their $185 IPO price after a blockbuster debut
The AI chipmaker opened at $350 in May, but by early October the stock was trading in the $164 to $177 range after its lockup expired In May, Cerebras Systems had one of the flashiest market debuts of the year. Five months later, its stock trades below the price institutional buyers paid before the opening bell. The AI chip designer priced its initial public offering at $185 per share. By early October 2026, shares were changing hands between $164 and $177, with the stock recently sitting around $165. That is a long way down from the $350 opening print. Early buyers who chased the debut are now holding something worth less than half that figure. From a 68% pop to underwater Cerebras set its IPO price on May 13, 2026. It sold 30 million shares and raised $5.55 billion in the process. The deal gave the company a fully diluted valuation of approximately $56.43 billion. It also made the listing the largest US technology IPO of the year up to that point. Trading under the ticker CBRS on Nasdaq, the stock opened at $350. It finished its first session at $311, a 68% gain over the offer price. The stock eventually gave back the entire first-day premium and then some. At roughly $165, shares sit about $20 below the $185 offer price. Timing played a part. The company's lockup period expired on October 1, 2026, and insider sales worth approximately $84 million lined up with that date. The numbers behind the hype Cerebras reported 2025 revenue of $510 million. That is up 76% from $290.3 million in 2024. The bottom line moved even more dramatically. Net income reached $237.8 million in 2025, compared with a loss of roughly $482 million the year before. Cerebras holds a multi-year inference capacity agreement with OpenAI and has partnerships with AWS. The company's signature product is the wafer-scale engine. Most chipmakers slice a silicon wafer into many small chips. Cerebras instead builds one enormous processor across the wafer itself. The Nvidia comparison, and its limits The Motley Fool framed the story with a pointed comparison. It noted that Cerebras is about as big today as Nvidia's data center business was nearly a decade ago, while arguing that the similarities mostly end there. Cerebras faces two widely cited concerns. One is customer concentration, meaning a meaningful share of business can depend on a small number of large buyers. The other is Nvidia itself. Concentration cuts both ways. A deal with a name like OpenAI is a powerful endorsement, but any shift in a major customer's spending plans can hit the top line hard. What this means for investors and the AI chip market Several things are worth watching from here. The next earnings reports will show whether the growth rate seen in 2025 holds up as a public company. Insider selling is another signal to track now that the lockup has lifted. Continued heavy sales could weigh on sentiment, while restraint might help steady the shares.
Cerebras Is About as Big as Nvidia's Data Center Business Was Nearly a Decade Ago. The Similarities Mostly End There.
Cerebras Systems (CBRS -2.23%) priced its initial public offering (IPO) at $185 a share in May, and the stock closed its first day of trading at $311.07. As I write, shares are roughly $165 -- below the IPO price, about 47% under that first close, and near the stock's lowest close since it went public. The business, meanwhile, keeps growing. The artificial intelligence (AI) chipmaker expects $880 million to $890 million of core revenue for 2026, up about 74% over last year at the midpoint. Core revenue is the company's preferred non-GAAP (adjusted) sales number. Any fast-growing AI chipmaker invites a comparison to Nvidia (NVDA -0.52%). And on revenue alone, Cerebras today is about where Nvidia's data center business was nearly a decade ago. Nvidia had a profitable business to rely on In fiscal 2017 (the year ended Jan. 29, 2017), Nvidia's data center business took in $830 million of revenue, almost two and a half times the $339 million it posted in fiscal 2016. That's around what Cerebras expects to pull in this year. In fiscal 2026, that business posted $193.7 billion, a 68% rise from the year before and more than 200 times its fiscal 2017 revenue. But data center was a side business for Nvidia back then. Gaming took in $4.06 billion of the company's $6.91 billion in fiscal 2017 revenue, almost five times the data center number. Nvidia was also solidly profitable, with net income climbing 171% that year to $1.67 billion. In other words, Nvidia funded its move into AI computing with a profitable business it already had. I think this is the biggest difference between the two companies at this point. Similar revenue, a different company Cerebras takes a very different approach to the chip itself. Instead of slicing a silicon wafer into many little chips, it uses the entire wafer as one massive processor, which its IPO prospectus says is 58 times the size of Nvidia's B200 chip. Keeping that much computing power and memory on a single chip helps Cerebras run AI models unusually fast. And speed is what it sells, increasingly on its own cloud service. Showing how quickly this pitch is catching on, Cerebras' core revenue rose 92% year over year in 2026's first quarter, and 103% in the second. That's a step up from 76% revenue growth in 2025. Management's third-quarter forecast of $214 million to $216 million, however, implies growth slowing to around 58% year over year. Of course, Cerebras beat its own guidance last quarter, so the actual number might be higher. Even so, it would likely take a big upside surprise to get anywhere near the 145% Nvidia's data center business put up in fiscal 2017. Unlike Nvidia back then, Cerebras also has no profitable business under its AI bet. It lost money in the second quarter even by its own adjusted measure, with a core operating margin of negative 16% (an improvement from negative 42% a year before). Plus three customers made up around three-quarters of its second-quarter revenue. What would Cerebras have to win? To follow Nvidia's path, Cerebras would need fast AI answers to become a big market of its own. And it'd need to win much of that market against Nvidia itself. Cerebras' newest quarterly filing lists Nvidia as "a dominant market leader" among its competitors. "[T]he demand for fast inference is enormous and Cerebras is scaling to meet it," CEO Andrew Feldman said in the company's second-quarter earnings release. (Inference is the work of running a trained AI model to give answers.) The early results arguably back that up. But Cerebras would also need a far longer customer list and, in time, steady profits. Nvidia had the profits before its data center sales took off. The stock, of course, already prices in a big part of that outcome. At roughly $165 per share, Cerebras is worth about $39 billion. That comes to about 44 times this year's expected core revenue. For context, Nvidia's entire market value at the end of 2016 was about $58 billion, for a company that earned $1.67 billion that fiscal year. Could Cerebras be the next Nvidia? It's possible. The technology is distinctive, and the growth is impressive. But Cerebras is around an eighth of Nvidia's fiscal 2017 size by total revenue, still losing money, and already valued at about two-thirds of what all of Nvidia was worth back then. I'd want to see a broader customer list and a path to consistent profits before paying that price for the stock.
Backpack Onchain Launches Tokenized Cerebras Systems Stock on Solana | TokenPost
Backpack Securities issues CBRS, which holders can redeem for Cerebras Systems shares at a 1:1 ratio or transfer to traditional brokerages. Backpack Onchain announced that CBRS, a tokenized stock of Cerebras Systems, launched on Solana through Sunrise on Oct. 6. Holders can redeem the token for company shares at a 1:1 ratio. Backpack Securities issues CBRS, which can also be transferred to traditional brokerages. Cerebras Systems designs and builds computing systems and software for inference, training and other AI workloads.
