Recent Insider Transactions • Aug 23
Independent Director recently sold US$11m worth of stock On the 14th of August, Steven Vassallo sold around 50k shares on-market at roughly US$218 per share. This transaction amounted to 33% of their direct individual holding at the time of the trade. This was the largest sale by an insider in the last 3 months. Insiders have been net sellers, collectively disposing of US$18m more than they bought in the last 12 months. Actualités en direct • Aug 21
Cerebras Unveils CS-4 AI Accelerator With 30x GPU Speed For Inference Systems Cerebras Systems has launched the CS-4, a rack-scale AI accelerator powered by three wafer-scale WSE-3 Turbo processors with 4 trillion transistors. The company says the system can process up to 30 times more tokens per second per user than traditional GPU-based systems, with first shipments due this quarter.
The CS-4 is designed specifically for AI inference and uses SRAM rather than conventional dynamic RAM. The company links this to faster performance and a claimed 2x speed gain over its prior CS-3 system, positioning the new hardware as a direct challenger to incumbent GPU-focused architectures.
Cerebras Systems shares trade at US$209.85 and are down 32.5% year to date, which frames this hardware launch against a backdrop of recent share price pressure.
This launch raises the stakes in AI hardware, since meaningful speed and architecture differences can influence where large AI workloads are deployed and how capital-intensive those deployments become. Annonce • Aug 19
Cerebras Systems Unveils CS-4 AI Accelerator Cerebras Systems introduced the Cerebras CS-4, the fastest AI accelerator in the industry. The CS-4 is a rack-scale solution built from three new Wafer Scale Engines and revolutionary rack and system designs. The CS-4 is the first member of the next-generation Cerebras Nexus rack-scale platform architecture. It is up to twice as fast as the CS-3, bringing the CS-4s advantage in tokens-per-second-per-user over GPUs to up to 30x more. The CS-4 solution also delivers up to 10x more throughput per watt than the CS-3, vastly improving data center economics. The CS-4 delivers both higher-value tokens and more total tokens within a given power budget—enabling datacenters to be vastly more profitable. The rack scale CS-4 is built from three of the newly released Wafer Scale Engine 3 Turbo (WSE-3T). The CS-4 delivers 750 PFLOPs of AI compute, 7.2 terabits per second of I/O, and 129.6 petabytes per second of memory bandwidth. Total compute fabric bandwidth jumps to 160.5 petabytes per second, and wafer to wafer latency drops as low as two microseconds, enabling the creation of very large clusters and the support of models with over 50 trillion parameters. The CS-4 sets a new high watermark for inference speed. In a head-to-head comparison on GPT-OSS-120B, when given identical prompts, the CS-4 delivers more than 4,400 tokens second per user (TPS/user), up to 30 times faster than GPU solutions. CS-4 is powered by the newly announced WSE-3 Turbo (WSE-3T). Like the WSE-3, the WSE-3T is the largest AI processor ever built, containing four trillion transistors and 900,000 AI-optimized cores across 46,225 square millimeters of silicon, with 44GB of SRAM integrated directly on the wafer. The WSE-3T doubles AI compute to 250 PFLOPS per wafer and doubles memory bandwidth to 43.2 petabytes per second. The on-chip fabric bandwidth and off-chip I/O both double to 53.5 petabytes per second and 2.4 terabits per second respectively. I/O latency shrinks from five microseconds to as low as two microseconds. CS-4 is the first iteration of the new Cerebras Nexus Platform Architecture. It is built around a modular concept with three foundational elements: Compute, Power and I/O. Modularity enables each element to scale independently so innovations get to market faster. The modular architecture also supports extremely rapid deployment and upgrades. Cerebras has fundamentally re-imagined the compute subsystem into a rear mounted “backpack” that attaches vertically to the power array. Each Wafer-Scale Backpack is a self-contained assembly that folds power conversion, direct liquid cooling, high-speed I/O, and control electronics into a compact, three-dimensional package built directly around the wafer. By decoupling compute from the power supplies, the Wafer-Scale Backpack simplifies manufacturing and reduces deployment time from days to hours. Compared with the prior-generation system, the Wafer-Scale Backpack has 50% fewer components and uses 60% more automated manufacturing. The Nexus Platform Architecture drives significant power delivery improvements. By moving power conversion 100x closer to the processors – from roughly 50 millimeters away from the processor as on conventional GPU boards to approximately 0.5 millimeters – CS-4 nearly eliminates board-level power loss. This delivers twice as much power to the WSE-3T, enabling higher operating frequencies and faster token generation. CS-4 introduces a new programmable I/O subsystem that supports two connectivity modes while doubling I/O bandwidth and reducing latency. The fully programmable Wafer I/O Module supports standards-based RoCE v2 RDMA over Ethernet for seamless integration into existing infrastructure and with an ecosystem of heterogeneous systems. Aggregate off-wafer bandwidth doubles to 2.4 terabits per second per wafer and 7.2 terabits per CS-4 rack solution. The Wafer I/O Module also supports a new communication mode, called Direct Wafer Links, which enables wafers to be linked within and across racks without a switch. Direct Wafer Links enables wafer-to-wafer latency as low as two microseconds. This low latency communication will allow the creation of massive CS-4 clusters and the ability to support models with more than 50 trillion parameters. Programmable low latency I/O is particularly beneficial for heterogeneous disaggregated inference, in which a purpose-built prefill engine processes an incoming prompt and then hands it to Cerebras for ultra-low latency decode. The combination of programmability, standards-based interfaces, and very low latency will allow the rapid creation of disaggregated solutions from different Cerebras ecosystem partners, like AMD Helios and AWS Trainium. Metric comparison: CS-3 (one wafer) vs. CS-4 (3 wafers): AI compute: 125 PFLOPS vs. 750 PFLOPS; Memory bandwidth: 21.6 PByte/s vs. 129.6 PByte/s; On-chip fabric bandwidth: 26.7 PByte/s vs. 160.5 PByte/s; System I/O bandwidth: 1.2 Tbit/s vs. 7.2 Tbit/s; I/O latency: 5 microseconds vs. 2 microseconds. First CS-4 shipments begin this quarter. Full system specifications are available in the CS-4 datasheet. Major Estimate Revision • Aug 19
Consensus EPS estimates fall by 32%, revenue upgraded The consensus outlook for fiscal year 2026 has been updated. 2026 revenue forecast increased from US$864.9m to US$887.3m. Forecast EPS reduced from -US$3.30 to -US$4.36 per share. Semiconductor industry in the US expected to see average net income growth of 57% next year. Consensus price target broadly unchanged at US$292. Share price fell 6.3% to US$220 over the past week. Recent Insider Transactions Derivative • Aug 18
Lead Independent Director notifies of intention to sell stock Eric Vishria intends to sell 68k shares in the next 90 days after lodging an Intent To Sell Form on the 17th of August. If the sale is conducted around the recent share price of US$230, it would amount to US$16m. Eric currently holds less than 1% of total shares outstanding. Company insiders have collectively sold US$21m more than they bought, via options and on-market transactions in the last 12 months. Actualités en direct • Aug 15
Cerebras Powers OpenAI Ultrafast Mode for GPT-5.6 Sol With 14x Speed Boost Cerebras Systems announced it is powering “Ultrafast mode” for OpenAI’s GPT-5.6 Sol in the OpenAI API, a new service tier that runs up to 14x faster than standard processing and is in limited preview for customers.
The company’s wafer-scale engine removes typical GPU memory bandwidth bottlenecks, which is the hardware basis for Ultrafast mode’s higher throughput without adding latency for OpenAI users.
Cerebras Systems shares trade at US$218.98, with the stock down 29.6% year to date, reflecting recent pressure despite the new OpenAI integration and updated guidance commentary.
This OpenAI tie-up puts Cerebras hardware directly behind a high-profile production workload, which could help validate its architecture for large-scale inference. The main risk is execution. Investors will be watching how quickly limited preview moves to broader availability and how far this translates into recurring cloud service revenue versus one-off or concentrated deployment spend. Annonce • Aug 14
Cerebras Powers Ultrafast Mode For OpenAI’s GPT-5.6 Sol Cerebras powered OpenAI's most capable model at up to 14x the speed, giving frontier intelligence with no compromise on latency. Cerebras announced that it is powering Ultrafast mode, a new service tier in the OpenAI API for GPT-5.6 Sol. Available initially in limited preview to OpenAI customers, Ultrafast runs GPT-5.6 Sol at up to 750 output tokens per second and up to 14x faster than Standard processing. GPT-5.6 Sol Ultrafast powered by Cerebras runs with the same intelligence as GPT-5.6 Sol Standard, enabling frontier intelligence at Cerebras' blistering fast speed. Ultrafast powered by Cerebras offers access to the full intelligence of GPT-5.6 Sol at speeds suited to work that cannot wait. Based on output speeds for Anthropic models reported by Artificial Analysis, Ultrafast is 5x faster than Claude Opus 4.8 in Fast mode, and 11x faster than Claude Fable 5. Benchmarks focused on economically valuable work, from programming to drafting legal documents, show how faster token generation translates directly into higher productivity for users. On Humanity’s Last Exam, a 2,500-question benchmark spanning graduate-level chemistry, economics and literature, GPT-5.6 Sol Ultrafast answered the full question set in just over 11 hours. This compares to more than three days of continuous compute for Claude Fable 5, with GPT-5.6 Sol Ultrafast reaching comparable accuracy nearly 7x faster. On GDP-Val, a benchmark of economically valuable knowledge-work tasks such as legal briefs, financial models, and engineering reports, Ultrafast delivered a 5.6x end-to-end speedup with no loss in quality. Ultrafast’s speed comes from Cerebras' Wafer-Scale Engine architecture, which keeps model weights on-chip — 44 GB of SRAM on each wafer-sized chip — rather than shuttling them between on-chip memory and off-chip storage as GPU-based inference must. This eliminates the memory-bandwidth bottleneck that constrains frontier-model inference speed on conventional hardware. Reported Earnings • Aug 13
Second quarter 2026 earnings: Revenues exceed analysts expectations while EPS lags behind Second quarter 2026 results: US$2.98 loss per share (down from US$5.87 profit in 2Q 2025). Revenue: US$180.1m (up 74% from 2Q 2025). Net loss: US$450.5m (down 246% from profit in 2Q 2025). Revenue exceeded analyst estimates by 8.4%. Earnings per share (EPS) missed analyst estimates by 78%. Revenue is forecast to grow 45% p.a. on average during the next 3 years, compared to a 25% growth forecast for the Semiconductor industry in the US. Actualités en direct • Aug 12
Cerebras Systems Lifts Revenue Target as OpenAI and Amazon Agreements Drive Growth Cerebras Systems raised its annual revenue and gross margin forecasts after seeing strong demand for its wafer-scale AI chips, and is reporting Q2 earnings with guided core revenue growth of about 88% year over year.
The company highlighted a multi-billion dollar agreement with OpenAI and a collaboration with Amazon to deploy Cerebras hardware in data centers. Management frames these as key drivers of demand for its inference-focused chips.
Cerebras Systems shares last traded at $262.06, with the stock up 22.3% over the past week.
The new guidance and high-profile partnerships put Cerebras Systems more directly in the conversation with established AI chip providers such as Nvidia. The main question is whether Cerebras can scale capacity and manage margin pressures as demand for AI inference builds, since execution on those points will likely influence how durable this momentum proves. Actualités en direct • Aug 05
Cerebras Systems Partners With Lovable to Deliver Ultra-Fast AI Software Creation Platform Cerebras Systems and Lovable have agreed a partnership under which Lovable will run selected latency‑sensitive workloads for its AI software creation platform on dedicated capacity of what Cerebras describes as the world’s fastest AI inference platform.
The deal expands Cerebras’ reach into AI‑native software markets and targets new categories of interactive AI applications that depend on low latency. This may help the company deepen its role in real‑time generative and coding tools.
Cerebras Systems’ stock trades at US$227.15, with the share price down 27.0% year to date, following a 17.9% rise over the past week.
This partnership signals that third‑party AI software builders are willing to rely on Cerebras for time‑critical workloads. This could support higher utilization of its inference capacity but also concentrates execution risk around performance, reliability and the terms of future capacity commitments. Annonce • Jul 24
Cerebras Systems Inc. to Report Q2, 2026 Results on Aug 12, 2026 Cerebras Systems Inc. announced that they will report Q2, 2026 results After-Market on Aug 12, 2026 Actualités en direct • Jul 23
Cerebras Ties AI Chips to CrowdStrike in Cybersecurity Partnership as Momentum Builds CrowdStrike and Cerebras Systems have entered a strategic partnership to integrate CrowdStrike’s AI-native Falcon AI Detection and Response platform with Cerebras’ ultra-fast AI inference hardware, while Cerebras adopts CrowdStrike’s Falcon platform to secure its own operations.
The deal embeds Cerebras’ chips in real-time cyber threat detection workflows and simultaneously makes CrowdStrike a core security layer for Cerebras, tying Cerebras’ hardware offering directly to mission-critical cybersecurity use cases rather than just general AI workloads.
Cerebras Systems’ stock trades at about US$209.80, with the share price down 32.6% year to date, even after a 14.0% gain over the past week.
This partnership links Cerebras to a high-profile security platform where speed and reliability matter, but investors still face execution risk around how quickly this technical integration converts into stable, recurring demand. Actualités en direct • Jul 11
US Loosens Export Rules Allowing Cerebras to Pursue Advanced AI Chip Sales in UAE The US Commerce Department has relaxed export restrictions on the United Arab Emirates, moving the country into a category that allows license-free access to advanced computing equipment, which enables ventures in the UAE to buy AI chips from Nvidia, AMD and Cerebras Systems under an existing deal.
This change opens a new Gulf market for Cerebras’ wafer-scale AI hardware, aligning with its multibillion-dollar AI infrastructure build-out in Europe and its expanded US manufacturing partnership with Flex to increase CS-3 system production capacity by about 7x by 2026.
Cerebras Systems shares trade at US$215.08, with the stock down 30.9% year to date, so regulatory access to an additional high-value market may be seen as an important offset to recent share price pressure.
Access to the UAE market adds another potential demand source for Cerebras’ planned capacity ramp. It also increases the company’s exposure to export-control policy shifts and geopolitical risk. Actualités en direct • Jul 09
Cerebras Systems Unveils Multibillion-Dollar Expansion for European AI Data Centers Targeting 200MW Cerebras Systems plans to invest several billions of dollars to build a network of AI data centers across Europe, targeting 200MW of power capacity by the end of 2027 and opening its first European site by late 2026, with a focus on France and the Nordics.
The expansion is intended to serve rising demand for low-latency AI compute from European enterprises, including support for OpenAI workloads, and could directly address power constraints that affect large-scale AI computing in the region.
Cerebras Systems’ stock trades at $181.72, with the share price down 41.6% year to date, while the latest announcement was followed by a premarket move of nearly 4% higher.
This build-out signals that Cerebras is committing heavy capital to compete in European AI infrastructure, which raises potential for higher future revenue but also concentrates execution, regulatory and energy supply risk in a large, multi-year build program. Recent Insider Transactions • Jul 01
Chief Operating Officer recently sold US$5.9m worth of stock On the 26th of June, Dhiraj Mallick sold around 33k shares on-market at roughly US$178 per share. This transaction amounted to 100% of their direct individual holding at the time of the trade. This was the largest sale by an insider in the last 3 months. This was Dhiraj's only on-market trade for the last 12 months. Actualités en direct • Jul 01
Cerebras Systems Strikes $20 Billion OpenAI Deal and Teams Up With AWS After Record IPO Cerebras Systems reported Q1 2026 GAAP revenue of about $193.4 million, roughly double year over year, alongside a multi-year AI chip supply deal with OpenAI valued at over $20 billion and a new collaboration with Amazon Web Services to deploy CS-3 systems with AWS Trainium for large-scale AI inference.
The company issued Q2 guidance for gross margin of 36% to 38%, compared with 47% in Q1, reflecting higher costs from leasing back data center capacity as it ramps its AI cloud infrastructure business and works through a substantial order backlog.
Cerebras Systems shares trade around $221.00 and are down 29.0% year to date, as investors weigh rapid revenue growth and large AI partnerships against margin pressure and concentrated exposure to a small group of customers.
The mix of record deals, lower near-term margins and high valuation multiples means the stock may be particularly sensitive to any change in demand, pricing, or customer concentration in future updates. Reported Earnings • Jun 25
First quarter 2026 earnings released: US$0.22 loss per share (vs US$0.46 loss in 1Q 2025) First quarter 2026 results: US$0.22 loss per share (improved from US$0.46 loss in 1Q 2025). Revenue: US$193.4m (up 94% from 1Q 2025). Net loss: US$14.0m (loss narrowed 41% from 1Q 2025). Revenue is forecast to grow 43% p.a. on average during the next 3 years, compared to a 23% growth forecast for the Semiconductor industry in the US. Annonce • Jun 24
Cerebras Systems Inc. to Report Q1, 2026 Results on Jun 23, 2026 Cerebras Systems Inc. announced that they will report Q1, 2026 results on Jun 23, 2026 Actualités en direct • Jun 23
Cerebras Systems Completes IPO After Major OpenAI Deal and Cloud Partnerships Disclosed Cerebras Systems completed a blockbuster IPO priced at $185 per share, with the stock opening as high as $350 and closing its first session near $311, while also disclosing a multiyear OpenAI contract of about $20b plus partnerships with Amazon Web Services and Meta Platforms.
The company reported more than $1.1b in cash and low debt, and flagged an anticipated $181 million in first‑quarter sales alongside the rollout of its AI compute platform on AWS, tying its wafer‑scale processors directly into major cloud and AI ecosystems.
Cerebras shares trade around $224.43, with the stock down about 27.9% year to date, highlighting how recent volatility has followed an initially strong debut.
The mix of a very large OpenAI contract and tight dependence on TSMC supply means execution, capacity and customer concentration are central risks to watch in Cerebras Systems. Actualités en direct • Jun 12
Cerebras Systems Gains 68% After IPO as Wall Street Sees Strong AI Growth Potential Cerebras Systems completed a high-profile IPO, with the stock’s first trading day marked by strong demand and sharp price swings before settling at a 68% gain versus the issue price.
Multiple Wall Street firms, including Morgan Stanley, UBS, Wedbush, Citigroup, Barclays and Needham, initiated coverage with Buy or Overweight ratings after the quiet period ended. They cited Cerebras’ wafer-scale AI chip, large order backlog and partnerships with OpenAI, AWS and Meta.
The company is highlighted as a key AI infrastructure player at the sold-out SuperAI Singapore 2026 conference, where it is exploring further partnerships alongside OpenAI, Google DeepMind and Mistral AI.
Taken together, the IPO reception, broad analyst coverage and conference visibility indicate significant institutional and industry interest in Cerebras’ AI hardware platform and its role in large-scale inference workloads.
At the same time, the described post-IPO volatility, ambitious 750 megawatt capacity commitments and reliance on a handful of very large contracts mean you should pay close attention to execution risk, customer concentration and the pace at which the reported backlog converts into realized revenue. Actualités en direct • Jun 05
ARK Invest Adds to Cerebras Systems as Stock Faces Wild Swings and Major AI Partnerships ARK Investment Management has been steadily adding to its position in Cerebras Systems since the May 2024 IPO, purchasing more than 145,000 shares even as the stock experienced sharp volatility and an 81% pullback from early trading levels. Cerebras raised about US$5.5b in its IPO to support corporate initiatives and potential acquisitions tied to its AI compute platform, despite currently being unprofitable and carrying a low GF Score of 10/100 on financial strength and profitability. CEO Andrew Feldman has highlighted broader relationships across the AI infrastructure market, including agreements with Amazon and OpenAI, while stating that Cerebras is working with all major AI component suppliers except Nvidia.
The combination of strong interest from a high-profile institutional investor and ongoing partnerships with large AI and cloud players points to meaningful market attention around Cerebras’s wafer-scale chip approach, even as fundamentals are still developing.
For you, the key trade-off is between the potential of Cerebras’s technology and ecosystem tie-ups and the clear risks from current unprofitability, intense competition from established chip companies, and recent momentum-driven swings in the stock. Annonce • May 14
Cerebras Systems Inc. has completed an IPO in the amount of $5.55 billion. Cerebras Systems Inc. has completed an IPO in the amount of $5.55 billion.
Security Name: Class A Common Stock
Security Type: Common Stock
Securities Offered: 30,000,000
Price\Range: $185
Transaction Features: Reserved Share Offering; Sponsor Backed Offering 
