Earnings Call Highlights
Cerebras delivered a strong Q2 with record core revenue of $209.9M (up 103% YoY) and beat guidance across all metrics, projecting a tripling of core revenue in 2027 backed by $25.4B in RPO. Management's tone was confident and expansive, framing 2026 explicitly as a foundation-building year while telegraphing aggressive capacity, product, and partnership moves that set up 2027-2029 as the payoff period. Analysts probed customer concentration, disaggregation economics, and the AWS ramp with genuine curiosity rather than skepticism, suggesting the investment community is broadly constructive on the growth narrative. The dominant theme was that speed is a structural differentiator that unlocks new markets and new architectural paradigms—disaggregation being the most concrete near-term expression of that thesis.
- Cerebras announced disaggregated inference partnerships with both AMD (Helios racks for prefill, CS systems for decode) and AWS (Trainium), claiming the combined solution delivers Cerebras-level speed with 5x higher throughput per CS system—Andrew Feldman stated this 'means up to 5x more tokens are produced per CS system, so power and cost are significantly reduced per token,' with commercial deployment targeted for Q4 2026.
- The company disclosed it is now serving OpenAI's GPT-5.6 Sol at 10x faster speed than alternatives, which Feldman framed as a strategic moat: 'Serving these models allows us to see into the future and to prepare for it,' giving Cerebras compounding road map advantages previously exclusive to NVIDIA.
- Cerebras secured over 600 megawatts of data center capacity (live or under contract through end of 2027) across 14 locations globally, with a pipeline now 'measured in gigawatts'; manufacturing capacity is on track to increase more than 10x in 2026, with contracted facilities for an additional 3x-4x growth in 2027.
- The CS4 is set to be unveiled at the Supernova Conference next week, and CS5 is on track for H2 2027 launch; the road map targets doubling speed annually and increasing throughput by more than 20x over the next 18 months, starting from a claimed 15x performance lead over the rest of the industry.
- New enterprise customer wins in Q2 included Figma, Cognition, Lovable, Block, AlphaSense, GSK, and CrowdStrike—the CrowdStrike deal was highlighted as a net-new market created by speed, where LLMs inspect enterprise traffic inline invisibly, a use case Feldman said 'only exists if AI is fast.'