Cerebras Systems Inc. Stock Price

NasdaqGS:CBRS Community·US$46.6b Market Cap

2 Narratives written by author
4 Comments on narratives written by author
192 Fair Values set on narratives written by author

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CBRS Share Price Performance

US$191.34

-119.73 (-38.49%)

US$291.09

Fair Value

US$191.34

-119.73 (-38.49%)

34.3% undervalued

US$291.09

Fair Value

US$191.34

US$291.09

US$415.54

Thu, 9 Jul 26

Fair ValueUS$291.09

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CBRS Community Narratives

AnalystConsensusTarget's

Fair Value

Fair Value US$291.09 34.3% undervalued

Fast AI Inference And Data Center Expansion Will Support Long Term Earnings Power

BlackGoat's

Fair Value

Fair Value US$415.54 54.0% undervalued

The Wafer Giant Threatening NVIDIA's GPU Hegemony

Cerebras Systems

54.0% undervalued

The Wafer Giant Threatening NVIDIA's GPU Hegemony

BlackGoat

Published 22 Jun

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Cerebras Systems

34.3% undervalued

Fast AI Inference And Data Center Expansion Will Support Long Term Earnings Power

AnalystConsensusTarget

Updated 9 Jul

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Trending Discussion

TL:DR -NVDA already bought the next-best tech... Groq I really can't intelligently comment on the financial analysis provided, this article's view of technological superiority is supported by technical analyses. Training prefers GPU-type architectures, but for inference nothing much can compare. These things are physically impressive- a 12 inch chip. The magic sauce really is that there are tons (900,000... yes, 0.9x10^6) CPU cores of various flavors physically on the same chip as a pile of fast SRAM memory, structurally guaranteeing memory access bandwidth that HBM cannot approach. Check out commentary and analysis over the last 3 years at nextplatform dot com. The importance of mega-core, on-chip memory chips for inference is shown by NVDA's $20B aquihire of Groq- kinda the same thing, but not as huge (only needs one hand to hold). NVDA bought the closest thing to cerebras that existed, and immediately redesigned their accelerator systems to include the Groq chips, replacing their in-house designed ARM "cpu". Within months, dumping their own high performance custom chip. So yes, its real in every sense. The tech absolutely rocks. More memory would further improve tokens/watt; they were really optimized for simpler queries, not chapter length replies. To handle bigger modern models, they chain a few together - just so they have enough fast memory to hold the model. The real technological challenge going forward is that one simply cannot just add memory to their design- there is limited space, period, and more memory would mean fewer cores. So how can it get more fast memory? Off-chip is way too slow. Likely by gluing memory on top... just like AMD does does with its CPUs.

almost all of the data center suppliers rely on a few, concentrated customers .... because the emerging AI industry is concentrated in a few large hyperscalers, AMZN, GOOG, OpenAI, Meta, Anthropic, SpaceX. So this "concentrated customer base" charge could be applied to a lot of companies, like DOCN, CRWV, NBIS.

This looks like a massive step change in performance, I wonder if competitors such as Nvidia can simply replicate their architecture, even assuming that they have patents on that. Can they work around it? Nvidia is already the most trusted brand so I would assume if they could eventually offer the same performance even with some premium, companies will favour them.

Snowflake Analysis

High growth potential and good value.

2 Risks

3 Rewards

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Cerebras Systems Inc. Key Details

Last Reported Earnings

Jun 30, 2026

Next Reporting Earnings

n/a

: -2.05
: 34.90%
: -71.58%
: 10.0%

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About CBRS

Founded: 2015
Employees: 784
CEO: Andrew Feldman
WebsiteView website: www.cerebras.ai

Cerebras Systems Inc. operates as an artificial intelligence infrastructure company. It designs and manufactures an AI compute platform that comprises of proprietary systems and software that is delivered in racks for deployment in data centers up to supercomputer scale. The company’s pioneering wafer-scale engine, a chip encompassing a silicon wafer, designed to enable higher performance and speeds than GPUs for the computational demands of inference, Generative AI, and other AI applications. Its customers include hyperscalers, foundation model labs, AI-native and digital-native businesses, enterprises, and leaders of Sovereign AI initiatives. The company has operations in the United States, Europe, the Middle East, Africa, and internationally. Cerebras Systems Inc. was founded in 2015 and is headquartered in Sunnyvale, California.