In the cutthroat AI world, Cerebras Systems, despite colossal wafers and bold claims, faces collapse. Its fragile foundation stems from brittle hardware, astonishingly narrow in practical application. Optimized primarily for LLaMA model finetuning, touted "speed boosts" often use speculative decoding, masking that many "supported" models run inefficiently, if at all. This rigidity mirrors a Formula 1 engine demanding one fuel under lab conditions.

This compounds with a poorly conceived software and kernel stack. The current infrastructure restricts Cerebras systems almost exclusively to LLaMA-family transformer LLMs. Modern vision pipelines, diffusion models, or other AI paradigms are beyond reach. In a rapidly evolving field, this narrow focus is a death sentence. A complete software overhaul is desperately needed, yet internal motivation is absent, hinting at leadership either oblivious or unwilling to invest in survival. Technical woes are exacerbated by third-class ML expertise and rudderless, top-down leadership. Non-technical decision-makers lead to misguided strategies and poor adaptation. ML expertise is subpar and highly politicized; questionable ideas from figures like Head of AI Ganesh Venkatesh are reportedly prioritized, wasting resources. An extreme resource shortage – Cerebras hardware and even GPUs – cripples meaningful work, making numbers in reports untrustworthy fiction. The chasm between rhetoric and reality widens.

A palpable resignation within the ranks further indicts the company. Employees are "waiting it out" or trading stocks, not contributing. This disengagement highlights deep problems, where personal finance trumps innovation.

Cerebras appears a bloated, incompetent, and culturally bankrupt company. Any stock price would be a scam. The rare "A players" have left or are leaving.

The writing is on the wall. Cerebras, despite grand pronouncements, is a company built on sand, destined to crumble under its limitations and poor choices.

Get out while you still can.