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english.aawsatglobenewswireglobenewswire+1Cerebras Systems , the California-based AI chip maker, announced on Thursday a major expansion of its European infrastructure, pledging to invest "several billion dollars" to scale its data center operations across the continent by the end of 2027.
The company said it will bring its first European data center capacity online by the end of 2026, with a rapid buildout across France and the Nordics targeting a total of 200 megawatts of AI compute capacity by the end of 2027. Cerebras currently operates three data centers in France, Finland, and Norway.globenewswire+1
"This is a massive expansion" to meet the "rapidly growing" needs of European customers, chief executive Andrew Feldman told AFP in an interview on the sidelines of a Paris artificial intelligence conference.english.aawsat
A portion of the new capacity is expected to support OpenAI workloads as part of the companies' existing partnership.quiverquant+1
Cerebras, which develops wafer-scale processors designed for training and running large language models, has positioned itself as a direct competitor to Nvidia in the AI infrastructure market. The company claims its inference technology runs 35 times faster than GPUs, and recently demonstrated its Gemma 4 model running at over 1,800 tokens per second on its hardware.cerebras
The European expansion comes as governments and enterprises across the continent seek to build sovereign AI computing capacity, reducing dependence on US-based cloud providers. The announcement was made from Paris, underscoring France's role as a hub for Cerebras's continental ambitions.finance.yahoo+1
The 200MW target represents a substantial commitment to physical infrastructure at a time when power availability has become a bottleneck for AI expansion globally. Cerebras's phased approach — first capacity online this year, full buildout by late 2027 — reflects the lead times required for securing energy and constructing facilities at scale.techzine+1
Cerebras went public under the ticker CBRS and has sought to differentiate itself from Nvidia through its wafer-scale chip architecture, which integrates an entire silicon wafer into a single processor rather than cutting it into smaller chips.