AI literacy article, about the highly anticipated Cerebras that will be listed on NASDAQ tomorrow: Cerebras was founded in Sunnyvale in 2016, with Andrew Feldman as its CEO. Its core product is a wafer level AI system built around the Wafer Scale Engine - integrating computing, memory, and interconnects on a single piece of silicon, rather than piecing together many small chips. The flagship product WSE-3 is currently the largest and fastest AI processor commercialized, with a volume 58 times that of mainstream GPU chips and a unit computing power consumption only a small part of the latter. Its inference speed on mainstream open-source models can reach 15 times that of GPU based solutions. Key IPO Data The final price is $185 per share, higher than the adjusted range, issuing 30 million shares and raising $5.55 billion. The oversubscription of the order book is about 20 times, and the fully diluted valuation is close to $48.8 billion - more than double the $23 billion in the February round. The secondary market of Hiive has closed at $187.53 on Monday, which is about 17% higher than the top of the issuance range. It is worth noting that Arm and SoftBank had proposed acquisition intentions a few weeks before their IPO, but were rejected by Cerebras. core strengths 1. Architectural differentiation - specializing in reasoning The company focuses on inference (running trained models) rather than training, positioning itself for faster and cheaper inference performance than Nvidia GPUs. 2. Benchmark customer binding OpenAI has made a commitment of over $20 billion to run a code writing model using Cerebras. The multi-year agreement signed in January is $10 billion and 750 megawatts of computing power; AWS agrees to deploy the CS-3 system and Elastic Fabric Adapter network on Amazon Bedrock. 3. Financial scale Revenue of 510 million US dollars in 2025, a year-on-year increase of 76%; Non GAAP net profit of $237.8 million - already profitable, rare in AI hardware IPOs. main risks 1. Extreme customer concentration G42 and MBZUAI (two Abu Dhabi related entities listed as related parties under ASC 850) together account for approximately 86% of revenue in 2025. This is a very serious single point risk. 2. "Complementary" or "Alternative" to Nvidia? TSG Invest's assessment is that Cerebras is not competing with Nvidia in the entire AI market - it is only doing one thing: running pre trained models at high speeds; AWS is using Cerebras together with its own Trainium, rather than replacing Nvidia, which looks more like a complementary product than a direct competitor. There is a valuation tension between this and the market pricing it as a "Nvidia replacement".