Cerebras
AI compute company with wafer-scale chips
Founded by: Andrew Feldman, Gary Lauterbach, Sean Lie, Michael James
Developer Adoption
Package downloads and ecosystem metrics, 30-day window
npm Download Trend
npm downloads declined from 1,504,752 to 336,473 (-77.6%) over the last 90 days.
PyPI Download Trend
pypi downloads grew from 855,227 to 1,243,798 (+45.4%) over the last 90 days.
Developer Community Metrics
Metrics computed from HN discussion, GitHub activity, and funding data.
Category Benchmark
75 AI Infrastructure companiesFunding Rounds
According to AI-Buzz, Cerebras ranks #4 in AI Infrastructure for HN discussion share (out of 75 tracked with 9.2% of HN discussion), with 37% positive developer sentiment (144 HN comments analyzed), with 336,473 npm downloads in 30 days, with 1,243,798 PyPI downloads in 30 days.
Source: https://www.ai-buzz.com/companies/cerebras?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
About
Description
AI compute company with wafer-scale chips
Estimated Company Size
500 - 1000 employees
Website
cerebras.aiDetails
Founded
2016
Description
Cerebras Systems is an AI compute company that designs and builds specialized hardware and software for accelerating deep learning workloads. Their flagship product, the CS-2 system, features the Wafer-Scale Engine (WSE), the world's largest AI chip, enabling unprecedented performance for training large AI models. They aim to overcome traditional compute limitations, making them a significant player in the high-performance AI infrastructure ecosystem.
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Featured in Intelligence
npm Downloads shifts: Cerebras down, Instructor, Kling AI upJanuary 5, 2026
PyPI Downloads surge: Cerebras, Helicone, Scale AIDecember 29, 2025
PyPI Downloads surge: DSPy, Cerebras, Helicone
Weekly AI Intelligence
Which AI companies are developers actually adopting? We track npm and PyPI downloads for 262+ companies. Get the biggest shifts weekly — before they show up in the news.