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Lovable and Cerebras Partner to Power AI Software Creation on the World's Fastest Inference Platform

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partnership AI

Cerebras Systems (NASDAQ: CBRS) and Lovable announced a partnership to power Lovable’s AI-driven software creation platform with Cerebras’ wafer-scale inference technology. Lovable will run selected latency-sensitive workloads on dedicated Cerebras capacity, aiming to cut response times and make multi-step AI development workflows feel more interactive.

Since November 2024, users have built over 50 million projects on Lovable, from internal tools to new product lines. According to the companies, the collaboration extends Cerebras’ ultra-fast inference into AI-native markets and both parties are exploring new product experiences, with technical results and availability details to follow.

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Positive

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Negative

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Market Reaction – CBRS

-2.60% $221.25
15m delay
-2.60% Vs previous close
$221.25 Last Price
$212.59 $226.25 Day Range
$47.75B Market Cap
0.1x Rel. Volume

Following this news, CBRS has declined 2.60%, reflecting a moderate negative market reaction. Our momentum scanner has triggered 7 alerts so far, indicating moderate trading interest and price volatility. The stock is currently trading at $221.25.

Data tracked by StockTitan Argus (15 min delayed). Upgrade to Gold for real-time data.

Market Context

CBRS’s tag-specific partnership history showed a 4.92% average move across two events, adding a hist...
Analysis

CBRS’s tag-specific partnership history showed a 4.92% average move across two events, adding a historical benchmark to this collaboration. High short positioning and recent Net Selling were additional sourced risk factors to monitor, without implying price direction.

Key Figures

Projects built: more than 50 million projects Platform launch: November 2024
2 metrics
Projects built more than 50 million projects Since Lovable's launch in November 2024
Platform launch November 2024 Lovable launch date

Previous Partnership,AI Reports

2 past events · Latest: Jul 22 (Positive)
Same Type Pattern 2 events
Date Event Sentiment 24h Move Catalyst
Jul 22 AI partnership Positive +0.6% CrowdStrike partnership targeted real-time AI-powered cybersecurity workloads.
Jul 09 AI partnership Positive +9.3% Flex partnership expanded Cerebras CS-3 manufacturing capacity through 2026.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Both tag-specific partnership announcements were followed by positive 24-hour price reactions, although the magnitude varied.

Key Terms

inference, latency-sensitive workloads, memory bandwidth, decode-bound workload, +1 more
5 terms
inference technical
"Partnership brings industry-leading Cerebras inference"
Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.
latency-sensitive workloads technical
"selected latency-sensitive workloads on dedicated Cerebras capacity"
Tasks or applications that require extremely fast response times from computer systems or networks, where delays of milliseconds can degrade performance or cause failures. Examples include real-time trading systems, high-frequency data feeds, live video or voice processing, and control systems; investors care because the need for low delay affects technology spending, infrastructure choices, service reliability, and can influence revenue, costs and competitive position much like a shop that loses customers if checkout lines move even slightly slower.
memory bandwidth technical
"This delivers far greater memory bandwidth than the fastest GPU"
The rate at which data can move between a device’s memory and its processor or other components, usually measured in gigabytes per second. Think of it like the width and speed limit of a highway: higher memory bandwidth lets more data flow at once, reducing bottlenecks for data-heavy tasks. It matters to investors because it influences the performance and competitiveness of chips, servers, and devices, which can affect product demand and company valuations.
decode-bound workload technical
"Each link is a decode-bound workload"
A decode-bound workload is a computing task whose speed is limited by the processor’s instruction decode stage, meaning the chip spends more time translating program instructions into executable micro-operations than the execution units spend actually running them. Like an assembly line where the parts-sorting station can’t keep up with the workers, this bottleneck shapes real-world benchmark results, power efficiency, and perceived performance—factors that can affect a chip maker’s product competitiveness and market reception.
regulation fd regulatory
"complying with its disclosure obligations under Regulation FD"
Regulation FD is a rule that prevents company insiders, like executives, from sharing important information with some people before others get it. It matters because it helps ensure all investors have equal access to key news, making the stock market fairer and reducing chances of insider trading.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Partnership brings industry-leading Cerebras inference to one of the world’s fast-growing AI software creation platforms, enabling more interactive software development experiences

STOCKHOLM, Sweden and SUNNYVALE, Calif., Aug. 05, 2026 (GLOBE NEWSWIRE) -- Lovable and Cerebras Systems (NASDAQ: CBRS) today announced a partnership to power Lovable's software creation platform with the world's fastest inference platform built by Cerebras. Under the agreement, Lovable will run selected latency-sensitive workloads on dedicated Cerebras capacity, and the two companies will explore product experiences that faster inference makes possible.

Since its launch in November 2024, more than 50 million projects have been built on Lovable—internal tools, new product lines, entire companies—by the people closest to the problems that software is meant to solve. That work depends on inference speed. Every instruction, every revision, every correction is a round trip to a model, and the wait between them is where momentum is lost.

Cerebras built its Wafer-Scale Engine to remove speed as a constraint on what AI can do. Where GPU-based systems split a model's weights across many chips and pay a networking tax on every token, the Wafer-Scale Engine keeps an entire model's weights on a single wafer. This delivers far greater memory bandwidth than the fastest GPU and generating tokens fast enough to make multi-step AI workflows feel instantaneous.

That speed will be available to the millions of people who have built projects on Lovable. By dramatically reducing response times, Cerebras will enable developers and business users alike to stay in flow, transforming software creation from a sequence of waiting periods into a seamless, interactive experience.

“Lovable was built on the idea that the person closest to a problem should be able to solve it,” said Anton Osika, co-founder and CEO, Lovable. “Cerebras helps us make Lovable respond as fast as our customers think, so instead of wondering if an idea’s worth trying, they just build it. Our users deserve infrastructure that keeps up with how they work.”

Creating software is not a single request but a chain of them—planning, scaffolding, writing components, catching an error, rewriting. Each link is a decode-bound workload, where output tokens must be produced one after another, and where GPU-based inference is at its slowest. This is precisely the workload the Wafer-Scale Engine was designed to accelerate: by keeping model weights and compute on a single wafer, Cerebras delivers orders of magnitude more memory bandwidth than the fastest GPU, turning what used to be a batch process into something that feels conversational and interactive at every step of the chain.

“Fast AI is more valuable than slow AI. When AI responds in real-time, users do more with it, stay longer, and run higher value workloads. Software creation is one of the clearest examples of the importance of speed,” said Andrew Feldman, CEO and co-founder, Cerebras. “Creators don’t want to wait. Lovable has already put building software into the hands of millions of people. At Cerebras, we make the AI so fast that users are delighted by the experience.”

The collaboration marks another step in Cerebras' expansion into new AI-native markets, demonstrating how ultra-fast inference enables entirely new categories of interactive applications beyond traditional enterprise AI.

The companies are jointly exploring product experiences that faster inference makes possible. Further details, including technical results and availability, will be shared as the work progresses.

About Cerebras Systems
Cerebras Systems (NASDAQ: CBRS) builds 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. We 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. Visit cerebras.ai for more.

About Lovable
Lovable is the software creation platform that gives people the power to act on the problems closest to them. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 50 million projects on Lovable since its launch in November 2024. Headquartered in Stockholm with teams in London, Boston, New York, and San Francisco, Lovable is backed by leading investors including Menlo Ventures, CapitalG, and Accel. Learn more at https://lovable.dev.

CEREBRAS DISCLOSURE INFORMATION

Cerebras uses its investor relations page (investors.cerebras.ai), its X account (@cerebras), and its LinkedIn page (linkedin.com/company/cerebras-systems/) to disclose material non-public information and for complying with its disclosure obligations under Regulation FD. Accordingly, investors should monitor these channels, in addition to following Cerebras' press releases, Securities and Exchange Commission (SEC) filings, public conference calls and public webcasts.

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 the implementation and anticipated benefits of the partnership between Cerebras and Lovable, including Lovable’s plans to run latency-sensitive workloads on dedicated Cerebras capacity; the joint development of platform capabilities, model integrations, and product experiences; Cerebras’ continued expansion into new AI-native markets; the enablement of entirely new categories of interactive applications beyond traditional enterprise AI; the timing of further details, including technical results and availability; 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 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 www.sec.gov.

Contacts

Cerebras
Kriselle Laran
Media Relations
pr@cerebras.ai

Sean Dorsey
Investor Relations
investors@cerebras.ai

Lovable
press@lovable.dev


FAQ

What did Cerebras Systems (NASDAQ: CBRS) announce with Lovable on August 5, 2026?

Cerebras Systems announced a partnership with Lovable to power Lovable’s AI software creation platform using Cerebras’ inference infrastructure. According to Cerebras, the collaboration focuses on running selected latency-sensitive workloads on dedicated Cerebras capacity and exploring new product experiences enabled by faster AI inference.

How will the Cerebras and Lovable partnership improve AI software creation for Lovable users?

The partnership aims to significantly reduce AI response times for Lovable’s software creation workflows by using Cerebras’ wafer-scale inference platform. According to Cerebras and Lovable, this is intended to make multi-step development chains feel conversational and interactive, helping users stay in flow while building and refining software.

How many projects have been built on Lovable’s platform before the Cerebras (CBRS) partnership?

According to Lovable, users have built more than 50 million projects on its platform since its launch in November 2024. These include internal tools, new product lines, and entire companies, created by individuals and teams close to the problems the software is meant to solve.

What technology is Cerebras providing to Lovable in this August 2026 partnership?

Cerebras is providing its wafer-scale inference technology, centered on the Wafer-Scale Engine that keeps an entire model’s weights on a single wafer. According to Cerebras, this delivers much higher memory bandwidth than GPU-based systems and accelerates decode-bound, multi-step AI workloads used in software creation.

How does the Cerebras and Lovable collaboration fit into Cerebras Systems’ (CBRS) market strategy?

According to Cerebras, the collaboration is another step in its expansion into new AI-native markets. By supporting Lovable’s large user base and interactive software creation workloads, Cerebras highlights how ultra-fast inference can enable new categories of real-time, AI-powered applications beyond traditional enterprise AI.

Will technical results and availability details from the Cerebras–Lovable partnership be shared with investors in CBRS?

Yes. The companies stated that further details, including technical results and availability, will be shared as the work progresses. According to Cerebras, investors should also monitor its investor relations site and official social channels for material updates and Regulation FD-compliant disclosures.