Cerebras Systems Inc (CBRS)

[titan11]

I only ask as that seems awfully high for a company with 1 customer.

[titan11]

So this is going at $34 pps ipo target? 

[Oleblue]

Cerebras Systems Announces Filing of Registration Statement for Proposed Initial Public Offering
September 30, 2024


SUNNYVALE, Calif.–(BUSINESS WIRE)–Cerebras Systems (“Cerebras”) today announced that it has filed a registration statement on Form S-1 with the U.S. Securities and Exchange Commission (“SEC”) relating to a proposed initial public offering of its Class A common stock. The number of shares of Class A common stock to be offered and the price range for the proposed offering have not yet been determined. The offering is subject to market conditions, and there can be no assurance as to whether or when the offering may be completed, or as to the actual size or other terms of the offering.

Cerebras intends to list its Class A common stock on the Nasdaq Global Market under the ticker symbol “CBRS.”

Citigroup and Barclays are acting as lead book-running managers for the proposed offering. UBS Investment Bank, Wells Fargo Securities, Mizuho and TD Cowen are also acting as book-running managers. Needham & Company, Craig-Hallum, Wedbush Securities, Rosenblatt and Academy Securities are acting as co-managers.

The proposed offering will be made only by means of a prospectus. Copies of the preliminary prospectus related to this offering, when available, may be obtained from: Citigroup Global Markets Inc., c/o Broadridge Financial Solutions, 1155 Long Island Avenue, Edgewood, NY 11717, or telephone: [phone] and Barclays Capital Inc., c/o Broadridge Financial Solutions, 1155 Long Island Avenue, Edgewood, NY 11717, by email at barclaysprospectus[ @LoveFishing-5847.

A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective.

This press release shall not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.

About Cerebras Systems

Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to accelerate generative AI by building a new class of AI supercomputer. Our flagship product, the CS-3 system, is powered by the largest commercially available AI processor, our Wafer-Scale Engine-3. CS-3s are quickly and easily clustered together to make massive AI supercomputers, and make placing models on the supercomputers simple by avoiding the complexity of distributed computing. Leading enterprises, research institutions, and government agencies use Cerebras solutions for the development of pathbreaking proprietary models, and to train open-source models that have achieved over a million downloads. Cerebras solutions are available through the Cerebras Cloud and on premises.
Contacts

Media
ZM Communications
[e-mail]

Investors
Cerebras Investor Relations
Sean Dorsey
[e-mail]

[Oleblue]

New AI Chip Leaves Nvidia, AMD, and Intel in the Dust with 20x Faster Speeds and Over 4 Trillion Transistors
Story by Caleb Naysmith

player: Cerebras Systems. The California-based startup recently unveiled Cerebras Inference, a cutting-edge solution reportedly up to 20 times faster than Nvidia (NVDA) GPUs, sparking attention across the tech landscape.

Cerebras’ breakthrough innovation, the Wafer Scale Engine, now in its third generation, powers this new Cerebras Inference system. This enormous chip packs 44GB of SRAM and requires no external memory, eliminating a key bottleneck found in traditional GPU setups. By addressing memory bandwidth limitations, Cerebras Inference achieves impressive speeds—processing 1,800 tokens per second for Llama3.1 8B and 450 tokens for Llama3.1 70B—setting a new performance standard in the industry.

For investors and tech enthusiasts, comparing Cerebras with established chipmakers like Nvidia, Advanced Micro Devices (AMD), and Intel (INTC) is becoming increasingly relevant. While Nvidia has traditionally led the AI hardware space with its advanced GPU solutions, Cerebras’ disruptive technology presents a formidable alternative. Meanwhile, AMD and Intel, both long-standing players in the chip industry, may also face increased competition as Cerebras gains traction in high-performance AI applications.

Cerebras Chips vs. Nvidia: A Technical Comparison

When comparing Cerebras and Nvidia, several crucial factors stand out, including design, performance, application suitability, and potential market impact.

Architectural Design

·Cerebras: The Wafer Scale Engine from Cerebras is unique—built on a single, massive wafer with approximately 4 trillion transistors and 44GB of on-chip SRAM. This design eliminates reliance on external memory, bypassing the memory bandwidth constraints of conventional architectures. Cerebras aims to provide the largest, most powerful chip that can house and manage enormous AI models directly on the wafer, significantly reducing latency.

·Nvidia: Nvidia’s architecture, meanwhile, uses a multi-die approach where several GPU dies are connected via high-speed interlinks such as NVLink. This setup, showcased in products like the DGX B200 server, provides a modular and scalable solution, though it requires intricate coordination between multiple chips and memory systems. Nvidia’s GPUs, refined over years, are optimized for both AI training and inference tasks, maintaining a competitive edge in versatility.

Performance

·Cerebras: In AI inference tasks, Cerebras Inference shines by processing inputs reportedly 20 times faster than Nvidia’s comparable solutions. The on-chip memory and processing integration enable high-speed data access and processing without the delays associated with chip-to-chip data transfers.

·Nvidia: While Nvidia may not match Cerebras’ raw speed for inference tasks, its GPUs are versatile workhorses across multiple applications, from gaming to complex AI training. Nvidia’s strength lies in its robust ecosystem and mature software stack, making its GPUs well-suited for a wide range of AI tasks and beyond.

Application Suitability

·Cerebras: Cerebras chips are especially suitable for enterprises with large-scale AI models requiring ultra-fast processing, such as natural language processing and deep learning inference. This solution is ideal for organizations that prioritize minimizing latency and need real-time processing of large datasets.

·Nvidia: Nvidia’s GPUs are more adaptable, capable of handling a broad range of tasks, from video game graphics to advanced AI model training and simulations. This versatility makes Nvidia a reliable choice for diverse sectors, not solely those focused on AI.

Conclusion

Cerebras offers standout performance in specific, high-demand AI tasks, while Nvidia excels with its versatility and robust ecosystem. The choice between Cerebras and Nvidia ultimately depends on particular needs: Cerebras could be an optimal choice for organizations handling extremely large AI models where inference speed is paramount. On the other hand, Nvidia continues to be a strong competitor across various applications, backed by its flexible hardware and comprehensive software support.

https://www.msn.com/en-us/news/technology/new-ai-chip-leaves-nvidia-amd-and-intel-in-the-dust-with-20x-faster-speeds-and-over-4-trillion-transistors/ar-AA1t3OPe?ocid=hpmsn&cvid=6662c44bee7c4861b1a4d70952599fe5&ei=5

Looks like it is PRIVATE so good luck.

https://cerebras.ai/

[chapeau2]

I’m invested $20k pre ipo at a not particularly cheap price of $34 a share which is a valuation of about 7b. I came across it a while ago and I think they have a lot of potential albeit they don’t sell chips like nvidia , only full systems . They are basically supercomputers for ai and are probably about 2-3 million each and seem to cluster well . I think the largest one they have done had 64 for a cost of about 100m so they need large budget customers . I’m not particularly worried about what seems to be most people’s main concern which is their reliance on g42 . I imagine they got a great deal and won’t have much incentive not to continue being a customer especially as they will probably end up owning about 10% of cerebras.

I’m tied in for a year I think , it’s my first pre IPO investment. In my own opinion hype will cause an initial bump and I’m watching to see if it crashes after , if it does I’ll buy more but at the moment 20k is plenty for me on a risky bet.

Interesting video long since deleted on the wafer scale engine and cs-3 by one of the designers here

Hard to link here as it doesn’t work . Need to go to way back machine

archived video

Then enter Youtube com url and follow with
watch?v=pzyZpauU3Ig

Don’t know why they deleted, I imagine as the production was a bit low effort but I loved the boffin and her enthusiasm and the bit about the “very clever and very patented rubber sheet”

[Takencareofbidness]

AI chip startup Cerebras Systems sounds like the real deal and potentially a huge money maker. They filed for an IPO September 30th 2024. Let's get a discussion going for anyone that's interested or has Insight they could share as this stock can be bought pre IPO.
They are taking on Nvidia as the AI King. Their chips/solution apparently are much faster and use much less power than Nvidia chips. But physically larger. Wikipedia has info already and here's what CNBC has to say- https://www.cnbc.com/2024/09/30/cerebras-files-for-ipo.html