1. Cerebras is like NVIDIA, but they've pioneered much larger 'wafer-scale' processors to make AI dramatically faster than traditional GPUs.

2. Think of Cerebras as a specialized high-performance engine builder for AI, designing groundbreaking 'wafer-scale' processors to deliver unprecedented speed for demanding AI tasks.

3. Cerebras is like a super-specialized Intel or NVIDIA, but they've developed a radically different 'wafer-scale' chip design to achieve extreme speed for AI.

• Cerebras AI Supercomputers: On-premises hardware solutions for customers requiring full data and infrastructure control.
• Cerebras Cloud Compute: Cloud-based access to Cerebras's high-speed AI compute, available through consumption-based models on Cerebras Cloud or partner clouds.
• Cerebras High-Speed Inference Services: Services providing accelerated AI inference, accessible through various partner marketplaces and gateways for seamless integration into existing workflows.
• AI Co-development Services: Expert AI services to partner with customers in developing and optimizing solutions for complex AI challenges.

Cerebras Systems primarily sells its AI infrastructure and services to other companies. Its major identified customers include:

• OpenAI
• Amazon Web Services (AWS), a subsidiary of Amazon (AMZN)

Andrew Feldman, Co-Founder & CEO

Andrew Feldman is a distinguished entrepreneur and technology executive, currently serving as the co-founder and CEO of Cerebras Systems, which he co-founded in 2015. Prior to Cerebras, he co-founded and was CEO of SeaMicro, a pioneering company that developed energy-efficient, high-density microservers. He successfully led SeaMicro through its acquisition by AMD in 2012 for $334 million (or $355 million according to some sources). Following the acquisition, he served as Corporate Vice President at AMD, leading the Data Center Server Solutions group. His career also includes significant roles at Force10 Networks (acquired by Dell for $800 million) and Riverstone Networks, which went public in 2001. Feldman is known for his vision in challenging industry conventions and has been involved in selling multiple companies.

Bob Komin, Senior Vice President & CFO

Bob Komin serves as the Senior Vice President and Chief Financial Officer at Cerebras Systems, an appointment announced in August 2024. His career spans over 30 years across all aspects of global finance, accounting, treasury, and investor relations at both growth-stage and public companies. From 2015 until 2020, Komin was CFO of Sunrun, where he led their IPO and oversaw significant growth. He also served as CFO of Flurry, which was acquired by Yahoo, and CFO of Tellme Networks, which was acquired by Microsoft for $800 million. Komin was also interim CEO, COO & CFO of Linden Lab/Second Life and CFO of Solexel.

Gary Lauterbach, Co-Founder & CTO

Gary Lauterbach is the co-founder and CTO of Cerebras Systems. He is widely recognized as one of the industry's leading computer architects and is renowned for pioneering AI-optimized hardware. Prior to Cerebras, Gary was co-founder and CTO of SeaMicro, where his inventions helped pioneer the microserver category. Following SeaMicro's acquisition by AMD in 2012, he was a Corporate Fellow and CTO for the server and server-CPU business units. Earlier in his career, he was a Distinguished Engineer at Sun Microsystems, where he was Chief Microprocessor Architect for the UltraSPARC III and UltraSPARC IV microprocessors. He holds more than 50 patents.

Sean Lie, Co-Founder & CTO

Sean Lie is a co-founder and CTO of Cerebras Systems. Prior to Cerebras, Sean was the Lead Hardware Architect of the IO virtualization fabric ASIC at SeaMicro. After SeaMicro was acquired by AMD, Sean was made an AMD Fellow and Chief Data Center Architect. He spent five years at AMD in their advanced architecture team earlier in his career. Sean is a computer architect specializing in hardware/software co-design and machine learning and has authored 16 patents in computer architecture.

Jean-Philippe Fricker, Co-Founder & Chief System Architect

Jean-Philippe (J.P.) Fricker is a co-founder and Chief System Architect at Cerebras Systems. Before co-founding Cerebras, J.P. was a Senior Hardware Architect at the rack-scale flash array startup DSSD (acquired by EMC). Prior to DSSD, J.P. was the Lead System Architect at SeaMicro, where he designed three generations of fabric-based computer systems. Earlier in his career, he was Director of Hardware Engineering at Alcatel-Lucent and Director of Hardware Engineering at Riverstone Networks. He has authored 24 patents.

1. Intense Competition from Established GPU Manufacturers and Hyperscalers

   Cerebras Systems operates in a highly competitive market, directly challenging established players like NVIDIA, whose B200 chip is explicitly mentioned as a point of comparison for Cerebras's Wafer-Scale Engine. The company's success relies on its "incredible AI speeds" and performance breakthroughs compared to GPU-based solutions. While Cerebras highlights its speed advantages, the continuous innovation and market dominance of GPU manufacturers, alongside the significant resources and control of hyperscale cloud providers (some of whom are also Cerebras partners, like AWS), pose a constant threat. The company's ability to maintain its competitive edge in speed and efficiency against these well-entrenched and rapidly evolving competitors is a critical risk to its sustained growth and market share.

2. Dependence on Strategic Partnerships and Customer Adoption for Growth and Distribution

   Cerebras Systems relies heavily on strategic partnerships for both distribution and customer adoption. The background mentions key partners and customers like OpenAI, Amazon Web Services (AWS), Microsoft Marketplace, IBM watsonx Model Gateway, Vercel AI Gateway, OpenRouter, and Hugging Face. While these partnerships provide significant reach and validation, they also introduce a dependency. The loss of a major partner, a change in their strategic direction, or a failure to effectively integrate and scale through these channels could significantly impact Cerebras's ability to reach a broad customer base and achieve its growth targets. Furthermore, the rapid adoption of its "fast inference" solution by customers is crucial, and any slowdown in this adoption could hinder revenue expansion.

3. Challenges in Sustaining Technological Lead and Wafer-Scale Integration Advantages

   Cerebras's core innovation is the Wafer-Scale Engine (WSE), which is described as solving a "75-year-old compute industry problem." This technological breakthrough is the foundation of its performance claims. However, maintaining this significant technological lead is a continuous challenge in the fast-paced AI hardware industry. Competitors are constantly innovating, and there's a risk that other companies could develop alternative architectures or fabrication techniques that diminish Cerebras's unique advantages. The complexities associated with producing, yielding, powering, and cooling a chip of the WSE's size also present ongoing engineering and operational challenges that must be consistently overcome to ensure product reliability and cost-effectiveness.

1. Accelerated Adoption of AI and Overall Market Expansion: The AI solutions and services market is projected for significant growth, with investments expected to yield a global cumulative impact of $22.3 trillion by 2030, and the combined market for AI training infrastructure and inference estimated to grow from $251 billion in 2025 to $672 billion by 2029. Cerebras believes increased AI penetration, more frequent usage, and more complex applications will rapidly expand its addressable market.
2. Expansion Through Strategic Partnerships and Cloud Deployments: Cerebras is strategically partnering with major industry players to broaden its reach. Notably, OpenAI selected Cerebras for fast inference, and Amazon Web Services (AWS) has committed to deploying Cerebras in its data centers, providing massive distribution to enterprises. Additionally, Cerebras's high-speed inference services are available through various partner clouds and marketplaces, including AWS Marketplace, Microsoft Marketplace, IBM watsonx Model Gateway, Vercel AI Gateway, OpenRouter, and Hugging Face, enabling seamless adoption within existing customer workflows.
3. Continued Customer Growth and Increased Spend from Existing Clients: Cerebras demonstrates strong customer retention and expansion, with its top ten customers by year-to-date revenue through December 31, 2025, increasing their aggregate spend by approximately 80% within 12 months of their initial purchase, often including contracts for co-development. The company's ability to attract and grow revenue from existing customers, along with attracting new ones, signals strong product value and potential for sustained revenue growth.
4. Differentiated Performance and Speed Advantage in AI Inference and Training: Cerebras's core innovation, the Wafer-Scale Engine (WSE), enables its AI solutions to deliver answers up to 15 times faster for inference and achieve more than 10 times faster training time-to-solution compared to leading GPU-based solutions. This superior speed and performance are critical for demanding AI applications, improve user engagement, lower operating costs, and open new markets, making it difficult for customers to revert to slower inference solutions once adopted.