Cerebras Systems Announces Strong First Quarter 2026 Results

• GAAP quarterly revenue of $193.4 million; record core revenue of $191.3 million, up 92% from a year ago
• Announced a multi-year deal with OpenAI for 750MW valued at more than $20 billion
• Launched multi-year partnership with Amazon to bring Cerebras’ fast inference to AWS
• Raised $6.4 billion in Q2 in largest semiconductor IPO of all time

SUNNYVALE, Calif., June 23, 2026 (GLOBE NEWSWIRE) — Cerebras Systems Inc. (NASDAQ: CBRS), maker of the world’s fastest AI infrastructure, today announced financial results for the first quarter of fiscal year 2026, ended March 31, 2026.

“This was an outstanding start to 2026 for Cerebras. And we are proud of our achievements,” said Andrew Feldman, Cerebras co-founder and CEO. “AI has moved from being a novelty to being useful and productive. Cerebras’ wafer-scale technology delivers the fastest AI in the world. And fast AI is more valuable than slow AI because it is more productive. It provides answers in less time. It delivers solutions in less time. This in turn has created significant momentum with pioneering customers like OpenAI and AWS and emerging customers as well. The growing importance of AI in our economy requires AI infrastructure that can power the most advanced applications at unprecedented speed. This is the Cerebras mission.”

“Our strong financial performance in Q1 highlights the large and rapidly growing opportunity in front of us,” said Bob Komin, Cerebras CFO. “We are focused on innovating at the pace of demand, supporting accelerating investments in growth and capitalization on strategic opportunities while effectively managing our capital structure.”

Q1 2026 and Recent Business Highlights

• Announced a multi-year deal with OpenAI valued at more than $20 billion
  • Reached agreement for OpenAI to deploy 750 megawatts of Cerebras’ high-speed inference compute over the next several years
  • Co-launched Codex-Spark, a model designed for near-instant coding and optimized for interactive work where latency matters, delivering more than 1,000 tokens per second
• Began a multi-year partnership with AWS to bring fast inference to an even bigger scale through global distribution for every startup, AI native, and enterprise company
  • Together with AWS, we will launch a disaggregated inference strategy, with AWS’s Trainium 3 chips performing the prefill and the Cerebras CS-3 running blisteringly fast inference for decode
• Launched enterprise customer trials of Kimi K2.6 and Gemma 4
  • Kimi K2.6, the leading open-weight frontier model and the first trillion-parameter model served on Cerebras, achieved performance approaching 1,000 tokens per second as independently measured by Artificial Analysis
  • Gemma 4 31B, flagship of Google DeepMind’s open-weight Gemma family, runs an order of magnitude faster on Cerebras based on scores on the Artificial Analysis Intelligence Index, enabling image understanding at Cerebras speed
• Raised $6.4 billion in gross proceeds through our IPO, in addition to the $1 billion Series H pre-IPO financing closed in February and the $1 billion working capital loan from OpenAI in January. Also, in April, Cerebras closed a revolving credit facility for up to $850 million from a broad syndicate of investment banks to further support the company’s strategy to accelerate the pace of our data center acquisitions.

1Q 2026 Financial Highlights

GAAP Financial Results:

• GAAP revenue of $193.4 million, up 13% sequentially and up 94% year-over-year
  • Hardware revenue of $110.6 million, up 59% year-over-year
  • Cloud and other services revenue of $82.8 million, up 178% year-over-year
• GAAP gross margin of 45%
  • GAAP hardware gross margins of 41%
  • GAAP cloud and other services gross margins of 49%
• GAAP loss from operations of $15.0 million
• GAAP net loss of $14.0 million
• Cash, cash equivalents, restricted cash, and short-term investments of $3.3 billion

Core Financial Results are all non-GAAP metrics (and exclude the impact of amortization of customer warrants, data center pass-through revenues and costs, stock-based compensation, and certain other items):

• Core total revenue of $191.3 million, up 12% sequentially and up 92% year-over-year
  • Core hardware revenue of $111.6 million, up 60% year-over-year
  • Core cloud and other services revenue of $79.8 million, up 167% year-over-year
• Core gross margin of 47%
  • Core hardware gross margins of 42%
  • Core cloud and other services gross margins of 53%
• Core operating loss of $3.5 million
• Core net loss of $2.5 million

Q2 2026 Financial Outlook

• Core Non-GAAP Financial Outlook:
  • Core revenue of approximately $194.0 million, up 88% year-over-year
  • Core gross margin in the range of 36 – 38%
  • Core operating margins in the range of  (30) to (32)%

Full Year Fiscal 2026 Financial Outlook

Core Non-GAAP Financial Outlook:

• • Core revenue of $855.0 to 865.0 million, up 69% year-over-year at the midpoint
  • Core gross margin in the range of 38 – 41%
  • Core operating margins in the range of (28) to (32)%

Earnings Webcast and Conference Call

Cerebras Systems will host a conference call to review its financial results for the first quarter of fiscal 2026 and to discuss our financial outlook today at 2 p.m. PT (5 p.m. ET). Interested parties may join the conference call via the webcast and can be accessed at the Cerebras website at https://investors.cerebras.ai/. The webcast will be recorded and available for replay on the same website following the conclusion of the conference call.

About Cerebras Systems

Cerebras Systems (NASDAQ: CBRS) is building the world’s fastest AI infrastructure. The Cerebras team of pioneering computer architects, computer scientists, AI researchers, and engineers of all types came together to make AI blisteringly fast through innovation and invention. They believe that when AI is fast, it will change the world. Leading global corporations, research institutes, and governments choose Cerebras to run their AI workloads. Cerebras solutions are available on premises and in the cloud.

Investor Relations
Sean Dorsey
investors@cerebras.ai

Corporate Communications
Kriselle Laran
pr@cerebras.ai

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of applicable securities laws. All statements other than statements of historical fact could be deemed to be forward-looking, including, but not limited to, statements regarding Cerebras’ future financial performance, including Cerebras’ expectations regarding its revenue, cash flows, expenses, gross margins, and other results of operations, business strategy, such as partnerships, investments, financings, borrowings, capital structure, capital allocations and data centers, growth and market opportunity, customer demand, product roadmap, technology leadership, supply chain, operating model, and outlook for Q2 and full year 2026, as well as the timing, execution and anticipated benefits of customer, partner and financing arrangements, deployments and capacity expansion initiatives, and any assumptions relating to the foregoing. The words “may,” “will,” “shall,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential,” “objective,” or “continue,” or the negative of these words or other similar terms or expressions that concern our expectations, strategy, plans, or intentions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. These forward-looking statements are subject to a number of risks and uncertainties, many of which involve factors or circumstances that are beyond Cerebras’ control. These risks and uncertainties include, but are not limited to: Cerebras’ ability to sustain and manage its growth, access borrowings and other sources of capital on acceptable terms, and deploy available capital to support growth; its history of net losses and ability to achieve and maintain profitability; its limited operating history at its current scale and ability to accurately forecast revenue and appropriately budget and manage expenses; its dependence on a limited number of significant customers, including OpenAI, Group 42 Holding Ltd, Mohamed bin Zayed University of Artificial Intelligence, and AWS, and the potential impact of any reduction in demand from, material adverse development in its relationships with, or failure to meet its obligations to, such customers, including under its Master Relationship Agreement with OpenAI; the timing, execution and expected benefits of its strategic customer, partner and financing arrangements; its historical reliance on sales of hardware systems and the early-stage, rapidly evolving market for its cloud-based offerings and AI infrastructure; its ability to secure sufficient data center capacity and capital to support its cloud-based offerings; its ability to launch new offerings and add new product capabilities; and its ability to compete effectively in the rapidly evolving and competitive market for AI computing solutions.

Cerebras’ actual results could differ materially from those stated or implied in forward-looking statements due to a number of factors. Accordingly, undue reliance should not be placed on such statements. These forward-looking statements are made as of the date they were first issued and are based on information available to Cerebras together with Cerebras’ expectations, estimates, forecasts, projections, beliefs, and assumptions as of such date. These forward-looking statements should not be relied upon as representing Cerebras’ views as of any date subsequent to the date of this press release. Past performance is not necessarily indicative of future results. Cerebras undertakes no intention or obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by law.

Further information on potential risks that could affect actual results is included in Cerebras’ most recent filings with the Securities and Exchange Commission (the “SEC”), including in Cerebras’ most recent Quarterly Report on Form 10-Q, copies of which may be obtained by visiting Cerebras’ Investor Relations website at investors.cerebras.ai or the SEC’s website at http://www.sec.gov.

Discussion of Non-GAAP Financial Measures

Use of non-GAAP financial measures

We use certain non-GAAP financial measures to supplement the performance measures in our consolidated financial statements, which are presented in accordance with GAAP. These non-GAAP financial measures include Core total revenue, Core hardware revenue, Core cloud and other services revenue, Core gross profit, Core hardware gross profit, Core cloud and other services gross profit, Core gross margin, Core hardware gross margin, Core cloud and other services gross margin, Core operating loss, Core operating margin, Core net loss, and adjusted earnings before income tax, depreciation and amortization (“Adjusted EBITDA”). We use these non-GAAP financial measures for financial and operational decision-making and as a means to assist us in evaluating period-to-period comparisons.

These non-GAAP financial measures are not computed in accordance with, or as an alternative to, US GAAP. The GAAP measures comparable to the supplemental non-GAAP financial measures are as follows:

• The GAAP measure most directly comparable to Core total revenue is total revenue.
• The GAAP measure most directly comparable to Core hardware revenue is hardware revenue.
• The GAAP measure most directly comparable to Core cloud and other services revenue is cloud and other services revenue.
• The GAAP measure most directly comparable to Core gross profit is GAAP gross profit
• The GAAP measure most directly comparable to Core gross margin is GAAP gross margin
• The GAAP measure most directly comparable to Core hardware gross margin is hardware gross margin
• The GAAP measure most directly comparable to Core cloud and other services gross margin is cloud and other services gross margin
• The GAAP measure most directly comparable to Core operating loss is loss from operations
• The GAAP measure most directly comparable to Core operating margin is GAAP operating margin
• The GAAP measure most directly comparable to adjusted earnings before income tax, depreciation and amortization (“Adjusted EBITDA”) is loss from operations.
• The GAAP measure most directly comparable to Core net loss is net loss.

Reconciliations of each of these non-GAAP financial measures to their most directly comparable GAAP measures for this quarter and prior periods are included in the tables below or elsewhere in the materials accompanying this press release.

Usefulness of non-GAAP financial measures to investors

By excluding certain items that may not be indicative of our recurring operating results from our core technology and service offerings and stock-based compensation from grants of equity awards, we believe that the Non-GAAP metrics described below provide meaningful supplemental information regarding our performance. Accordingly, we believe these non-GAAP financial measures are useful to investors and others because they allow additional information with respect to financial measures used by management in its financial and operational decision-making and may be useful to our institutional investors and the analyst community to help them analyze the health of our business. Disclosure of these non-GAAP financial measures also facilitates the comparisons of Cerebras’ operating performance with the performance of other companies in the same industry that supplement their GAAP results with non-GAAP financial measures that may be calculated in a manner comparable to their core operations.

Economic substance of and material limitations associated with non-GAAP financial measures used by Cerebras

Core revenue, Core hardware revenue, Core cloud and other services revenue, Core gross profit, Core hardware gross profit, Core cloud and other services gross profit, Core gross margin, Core hardware margin, Core cloud and other services margin, Core operating loss, Core operating margin, Adjusted EBITDA and Core net loss are adjusted, as applicable, to: (i) exclude non-cash stock-based compensation; (ii) exclude pass-through revenues and costs that are not part of our core technology and services offering; and (iii) add back non-cash amortization from customer warrants that is recorded as a reduction in revenues. Non-GAAP adjusted EBITDA excludes the impacts of depreciation and amortization and stock-based compensation.

Core gross margin, Core hardware margin, and Core cloud and other services margin represent Core gross profit, Core hardware gross profit, and Core cloud and other services gross profit, respectively, expressed as a percentage of their corresponding Core revenue.

More specifically, Cerebras excludes each of those items mentioned above for the following reasons:

• Stock-based compensation expense consists of equity awards granted based on the estimated fair value of those awards at grant date. Although stock-based compensation is a key incentive offered to employees, Cerebras excludes these charges for the purpose of calculating these non-GAAP measures, primarily because they are non-cash expenses, and the Company’s internal benchmarking analyses evidence that many industry participants and peers present non-GAAP financial measures excluding stock-based compensation expense.
• Amortization of customer warrants consists of equity granted to customers and recorded as contra-revenue. We exclude the impact of amortization of customer warrant assets recorded as contra‑revenue from our non‑GAAP results because it represents a non‑cash, valuation‑driven adjustment associated with equity instruments issued to customers. This adjustment does not reflect the underlying economics of our core revenue‑generating activities, including pricing, volume, or cost of delivering our products and services, and therefore may not be indicative of our ongoing operating performance.
• Pass-through revenue and associated pass-through cost of revenue relate to non-recurring data center start-up and recurring data center costs that are incurred on behalf of specific customers. We exclude pass‑through revenue and the associated pass-through cost of revenue from our non‑GAAP financial measures because such amounts are incurred on behalf of specific customers based on capacity deployment options and may vary significantly from period to period. These pass-through revenues and costs do not reflect the underlying economics of our core hardware technology and services offerings, generate fixed minimal gross margins and can significantly distort period‑to‑period comparisons of our operating performance.

There are a number of limitations related to the use of non-GAAP financial measures, and these non-GAAP measures should be considered in addition to, not as a substitute for or in isolation from, our financial results prepared in accordance with GAAP. Other companies, including companies in our industry, may calculate these non-GAAP financial measures differently or not at all, which reduces their usefulness as comparative measures. No reconciliation is provided with respect to certain forward-looking non-GAAP financial measures as the GAAP measures are not accessible on a forward-looking basis. We cannot reliably predict all necessary components or their impact to reconcile such financial measures without unreasonable effort. The events necessitating a non-GAAP adjustment are inherently unpredictable and may have a significant impact on our future GAAP financial results. Cerebras compensates for these limitations on the use of non-GAAP financial measures by relying primarily on its GAAP results and using non-GAAP financial measures only as a supplement. Cerebras also provides a reconciliation of each non-GAAP financial measure to its most directly comparable GAAP financial measure for this quarter and prior periods within this press release and Cerebras encourages investors to review those reconciliations carefully.