Status
Available
Last Round Valuation
$50 Billion
Share Price
$50.00
Already have an account? Sign In
Cerebras Systems is a developer of computing chips designed for the singular purpose of accelerating AI. Cerebras builds computer systems for complex artificial intelligence deep learning applications. With a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types, Cerebras creates chips that are the size of wafers, which are trays that would usually have several chips on it, to train AI models to accomplish tasks faster. The Company’s flagship product, the CS-2 system, which is powered by the world’s largest processor – the 850,000 core Cerebras WSE-2, enables customers to accelerate their deep learning work by orders of magnitude over graphics processing units.
“At Cerebras Systems, our goal is to revolutionize computing. It’s thrilling to see some of the most respected supercomputing centers around the world deploying our CS-2 system to accelerate their AI workloads and achieving incredible scientific breakthroughs in climate research, precision medicine, computational fluid dynamics and more.” said Andrew Feldman, CEO and Co-Founder of Cerebras Systems.
With enterprises in all sectors realizing the importance of AI, adoption is increasing. However, most AI projects fail due to not being cost effective.
According to recent surveys, business leaders have put the failure rate of AI projects between 83% and 92% due to AI not being cost efficient. “As an industry, we’re worse than gambling in terms of producing financial returns,” Aible CEO Arijit Sengupta says.
"AI will be in every electronic product we buy and sell and use from toys to automobiles. And the ability to make AI useful depends on really good engineers, really good AI modelers, data scientists, as well as the hardware. But all that will be for naught if you're not running it on efficient hardware because you can't afford it. So this is all about making AI pervasive and affordable and – people overuse the term – but democratizing AI is still a goal. It's not where we are, but it's gonna take a lot of work to get there,” according to the Founder of Cambrian AI Research.
Cerebras Systems’ main offering is a chip, The Wafer-Scale Engine (WSE). It is a revolutionary central processor for the Company’s deep learning computer system. The second-generation WSE (WSE-2) powers the CS-2 system: it is the largest computer chip ever built and the fastest AI processor on Earth.
Unlike legacy, general-purpose processors, the WSE was built from the ground up to accelerate deep learning.
The WSE-2’s main competitive advantages are: (1) Massive high bandwidth on-chip memory; (2) Speed (Faster than a traditional cluster could possibly achieve); (3) Cost and power efficiency (One chip is equivalent to a cluster of legacy machines); (4) Ease of programing; (5) Radically reduced programming complexity; and (6) Reduced wall-clock compute time, and time to solution
Cerebras’ WSE-2 gives unprecedented levels of computation, memory and interconnect bandwidth on a single, wafer-scale piece of silicon. Further optimizations by sparsity harvesting allow the computation capabilities to be maximized. The outcome is huge performance in an integrated chip without bottlenecks, in which every node is programmable and independent of others. With this revolutionary approach to AI, companies can reduce the cost of curiosity.
The net result of the Company’s innovation to date is unmatched utilization, performance levels, and scaling properties that were previously unthinkable.
Cerebras offers a revolutionary AI infrastructure, with its CS-2 system. The CS-2 is designed from the ground up to power, cool, and deliver data to the revolutionary WSE-2 processor so that it can deliver unparalleled performance to users. The package is easy to deploy, operate, and maintain in client datacenters today. This means no compromises and peak performance with no large-scale cluster deployment complexity for customers.
Large-scale data centers use mass amounts of computers, while Cerebras offers far less supercomputers for the same output. This means customers can deploy datacenter-scale AI computers to unlock world leading innovation in just a few days or weeks – delivering greater performance in a space- and power-efficient package built for the job.
Cerebras also offers the Cerebras Software Platform, CSoft. The Cerebras Software Development Kit allows researchers to extend the platform and develop custom kernels – empowering them to push the limits of AI and HPC innovation. The Cerebras Machine Learning Software integrates with the popular machine learning frameworks TensorFlow and PyTorch, so researchers can effortlessly bring their models to the CS-2 system.
Cerebras also offers Cloud Cirrascale. Cerebras Cloud provides access to a blazing fast AI solution, right at customers fingertips. It provides access to the latest Cerebras technology hosted at Cirrascale Cloud Services, a specialist in deep learning infrastructure. This joint solution delivers the model training performance of many processors in a single instance, so users can develop new neural network architectures, Machine Learning methods, and algorithms that were previously impractical – all without worrying about infrastructure management.
Cerebras can double the amount of computing its chips do for double the power, unlike current systems that need more than twice as much power to double their computing capacity. Current AI systems use tens of megawatts of power over months and use the equivalent of a small city’s power to train models – Cerebras allows the same computer power with far less energy at faster speeds.
Cerebras allows researchers and organizations with tiny budgets — in the tens of thousands of dollars range — to access AI training tools that were previously only available to much larger organizations with lots of money.
In August 2024, Cerebras filed confidentially for an initial public offering.
In September 2024, Cerebras announced a Memorandum of Understanding (MoU) with Aramco to deliver high-performance AI inference to industries, universities, and enterprises in Saudi Arabia. Aramco plans to leverage Cerebras' cutting-edge CS-3 systems to build, train, and deploy world-class large language models, accelerating AI innovation in the region.
In September 2024, Cerebras Systems filed for an initial public offering (IPO). According to its filing with the U.S. Securities and Exchange Commission, the company reported a net loss of $66.6 million on $136.4 million in revenue for the six months ending June 30th, compared to a net loss of $77.8 million on $8.7 million in revenue during the same period the previous year.
Your access to private investment
Customers
Nulla malesuada justo velit, eget
Donec rhoncus sapien sit amet mauris consectetur convallis. Croin mollis eros vel orci.
Key Investors
Pellentesque tempus, ipsum id suscipit tristique, Aenean lacinia quis tortor sed, ornare Integer vel.
Size of Market
Mauris velit nisl, ultrices ut est quis, dapibus euismod tellus. Ut finibus ultricies sollicitudin. Vivamus a aliquet magna. Fusce lacinia urna in laoreet facilisis. Aliquam dignissim efficitur sapien eu convallis.
Market Position
Nam volutpat purus vel lacus pellentesque porttitor sed in orci. Vivamus porttitor sit amet tellus non sollicitudin. Suspendisse sit amet turpis nisi. In sem velit, interdum at augue id, eleifend tristique nunc, Maecenas scelerisque.
Industry
Mauris velit nisl
Primary Vertical
Artificial Intelligence
Employees
500
Mosaic Score
840
Money
760
Momentum
850
Management
760
Market
960
What is a Mosaic Score?
| Name | Work History | Title | Status |
|---|---|---|---|
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
Last Round
Sept. 2019, Series B1
Valuation Post-Money
$400.2M
Amount Raised
$2.5M
Total Funds Raised
$75.2M
Implied Valuation
$84M
| Date | Round | Amount | Valuation | Investors |
|---|---|---|---|---|
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| Company | Valued | Revenue |
|---|---|---|
|
Coinbase San Francisco, CA |
$2.8B | $1.3B |
|
Coinbase San Francisco, CA |
$2.8B | $1.3B |
|
Coinbase San Francisco, CA |
$2.8B | $1.3B |
