Tae Kim
AI/Semiconductor Journalist, Author of Key Context
Cerebras CEO Andrew Feldman says a shortage of data centers kept it from OpenAI's much wider next-generation Ultrafast rollout, despite the first deployment's success. The explanation is reasonable and the market should appreciate Cerebras's response, though it came much too late: responsive, straightforward investor communication is table stakes. x.com x.com
Cerebras's silence about losing OpenAI's GPT-6.1 Ultrafast deployment while insiders sell stock should infuriate shareholders. The CFO, COO and chief accounting officer have all been selling, and the company has given no information on the loss, which came after it hyped a GPT-5.6 Sol Ultrafast win only last month. x.com
Cerebras looks attractive because the short report's two-year wafer-life thesis rests on unvalidated reliability assumptions, not representative failure data. Energy per useful token, lower warranty utilization and ordinary repair accounting also undercut its financial conclusions. OpenAI has integrated Cerebras into production; AMD and AWS have announced integrations, while Oracle plans 2027 availability for ultra-fast inference, adding commercial validation despite the report. x.com x.com
Vicor's efficient delivery of key power modules is part of the case for Cerebras meeting and exceeding its 2028-29 numbers. As models improve, more security breaches and deployments should make Cerebras look increasingly like a cybersecurity play. Its revenue ramp looks constrained by capacity, not yet by demand. Bullish on Cerebras but cautious on the broader market, with no short-term earnings prediction. x.com x.com x.com x.com
Cerebras faces brutal competition from SpaceX, and competing in AI models or data centers requires cash at scale. SpaceX is already trashing Cerebras and CoreWeave. x.com
Cerebras may be the only company willing to stitch together a true high-speed solution. If so, it retains upside optionality from high-speed pricing and gains a first-mover advantage. x.com x.com
Cerebras and its customers likely accounted for many of the chip limitations alleged in the short report, so the report may be wrong. This is a suspicion without specific insight. Short interest rose 40.7% into the report to 19.86 million shares, or 8.4% of float. x.com x.com
Cerebras is difficult for retail investors to understand, and management has not done a great job explaining its business since going public. It deserves more attention as the most direct AI IPO of 2026, but going long Cerebras is hard to justify when Nvidia can be owned instead. x.com
Cerebras should dominate the enormous fast-inference market because agentic workflows often run steps sequentially, making each step's speed critical. Its newly announced Oracle partnership brings its ultra-fast inference to Oracle Cloud Infrastructure. Cerebras delivers inference speeds up to 13x faster than Nvidia GPUs, and its chips should eventually reach every major AI cloud. x.com
Better power delivery appears to be helping Cerebras work through wafer-scale power and thermal limits more than expected. CS-4 gets higher clocks and improved I/O from WSE-3T, despite the same core count and SRAM capacity as WSE-3. Oracle, OpenAI and AWS choosing to work with Cerebras carries weight. But higher clocks do not answer Culper Research's allegation that its wafers fail after about two years; how representative those failures are of current systems remains unclear. x.com
Cerebras is not worth owning because its proprietary stack faces limited broad adoption. The attached analysis says NVIDIA-aligned cloud operators are unlikely to deploy Cerebras hardware, while Groq LPUs fit NVIDIA's software ecosystem more easily. It also flags Cerebras' scaling and deployment friction, despite solid product-market fit with marquee customers. x.com
Culper Research's wafer-failure complaints do not justify shorting Cerebras at $100. The customer complaints sound illogical, although quality issues would not be surprising while the chips are in the early-adopter phase. x.com x.com
