Cerebras Systems builds the world's fastest AI computers. Their Wafer Scale Engine is the largest chip ever built, powering a new class of AI supercomputers that accelerate training and inference by orders of magnitude.
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Cerebras, a startup with a $25B backlog, operates at emergency speed with custom silicon and unique engineering practices.
Cerebras Systems' S-1 filing reveals a company that has reoriented around AI inference, anchored by a $20B+ OpenAI deal for 750MW of low-latency capacity. With $510M revenue, first profitable year, and a $56.4B IPO valuation, the wafer-scale chipmaker is betting inference economics beat Nvidia at it
AI startups raised $171 billion in February 2026 alone. Behind the engineering hiring boom, non-technical roles — recruiting, go-to-market, customer success, governance — are growing at rates that rival or exceed technical hiring. Here's the data across 20 leading AI companies and what it means for
AI hardware engineers are commanding salaries rivaling or exceeding top software roles as the semiconductor talent shortage deepens. With hyperscaler CapEx surging past $600B and a structural pipeline deficit, chip design and AI accelerator expertise have become the most expensive hires in tech.
