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Cerebras Systems’ Andrew Feldman on whether AI can keep scaling at TechCrunch Disrupt 2026

What happened

Cerebras Systems signed a multiyear agreement with OpenAI to deploy 750 megawatts of its systems from 2026 through 2028.

Source

Article excerpt

AI models keep getting more capable. But every leap forward demands more compute, energy, and infrastructure. How far can that continue? Cerebras Systems has spent the past decade challenging a basic assumption behind AI computing: that increasingly powerful AI must depend on conventional chip architectures. The company built its approach around wafer-scale computing and today provides AI compute through on-premise systems and its cloud platform. At TechCrunch Disrupt 2026, Cerebras Systems CEO and co-founder Andrew Feldman will take the Disrupt Stage for “ Can AI Keep Scaling? ” He’ll explore the growing demand for compute, energy, and infrastructure, how Cerebras is approaching those constraints differently, and what comes next if today’s AI hardware reaches its limits. Want to understand what could determine how far AI can scale? Secure your Disrupt ticket to hear from a founder solving the AI scale challenge. Bring a co-founder, colleague, or peer at 50% off. Andrew Feldman co-founded Cerebras in 2015 after years of building companies around computing infrastructure. Before Cerebras, he co-founded and led energy-efficient microserver startup SeaMicro, which AMD acquired in 2012. Earlier, he held leadership roles at Force10 Networks and Riverstone Networks. At Cerebras, Feldman and his co-founders took on a problem long considered impractical: bringing wafer-scale...

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Extracted from this sentence

The company raised $5.5 billion in its May IPO and signed a multiyear agreement with OpenAI to deploy 750 megawatts of Cerebras systems from 2026 through 2028.

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The full record

From the Signal API record

Extraction

Confidence
90%
Detected
Sep 30, 2026
signal_type
news
signal_subtype
signs_new_client

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/0667320c-c66d-7bc4-e08c-82328fd3acd0 returns this record as JSON. POST /v1/companies/enrich returns every signal for cerebras.net.

{
  "signal_id": "0667320c-c66d-7bc4-e08c-82328fd3acd0",
  "signal_type": "news",
  "signal_subtype": "signs_new_client",
  "detected_at": "2026-09-30T14:30:00+00:00",
  "company": {
    "name": "Cerebras",
    "domain": "cerebras.net"
  },
  "data": {
    "url": "https://techcrunch.com/2026/09/30/cerebras-systems-andrew-feldman-on-whether-ai-can-keep-scaling-at-techcrunch-disrupt-2026/",
    "title": "Cerebras Systems’ Andrew Feldman on whether AI can keep scaling at TechCrunch Disrupt 2026",
    "author": "TechCrunch Events",
    "excerpt": "AI models keep getting more capable. But every leap forward demands more compute, energy, and infrastructure. How far can that continue? Cerebras Systems has spent the past decade challenging a basic assumption behind AI computing: that increasingly powerful AI must depend on conventional chip architectures. The company built its approach around wafer-scale computing and today provides AI compute through on-premise systems and its cloud platform. At TechCrunch Disrupt 2026 , Cerebras Systems CEO and co-founder Andrew Feldman will take the Disrupt Stage for “ Can AI Keep Scaling? ” He’ll explore the growing demand for compute, energy, and infrastructure, how Cerebras is approaching those constraints differently, and what comes next if today’s AI hardware reaches its limits. Want to understand what could determine how far AI can scale? Secure your Disrupt ticket to hear from a founder solving the AI scale challenge. Bring a co-founder, colleague, or peer at 50% off . Andrew Feldman co-founded Cerebras in 2015 after years of building companies around computing infrastructure. Before Cerebras, he co-founded and led energy-efficient microserver startup SeaMicro, which AMD acquired in 2012. Earlier, he held leadership roles at Force10 Networks and Riverstone Networks. At Cerebras, Feldman and his co-founders took on a problem long considered impractical: bringing wafer-scale...",
    "summary": "Cerebras Systems signed a multiyear agreement with OpenAI to deploy 750 megawatts of its systems from 2026 through 2028.",
    "planning": true,
    "image_url": "https://techcrunch.com/wp-content/uploads/2026/09/TCD26_Andrew-Feldman_1-Speaker-16x9-Dark.png?resize=1200,675",
    "confidence": 0.9,
    "published_at": "2026-09-30T14:30:00Z",
    "article_sentence": "The company raised $5.5 billion in its May IPO and signed a multiyear agreement with OpenAI to deploy 750 megawatts of Cerebras systems from 2026 through 2028.",
    "related_company_name": "OpenAI",
    "related_company_domain": "openai.com"
  }
}

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