Cerebras

Freemium🇺🇸🇺🇸 United StatesDecacornHigh Burn

The go-to platform for fast and effortless AI training.

Ai Frameworks

Overall score

Heat score

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Pricing

Community$0/month

Professional$100/month

EnterpriseCustom pricing

Purchase Subscription

Technical Specs

Inputs

Text Prompt, Dataset, Model Parameters, Training Data, Code

Outputs

Trained Model, Performance Metrics, Optimized Model, Training Reports

AI Type

Multimodal

Model Architecture

Custom/Proprietary

Daily Prompts

N/A

Context Length

131K

Output Quality

Accuracy

92%

Content

90%

Reasoning

93%

Company Profile

Company

Cerebras

Founded

2015

San Francisco, California, USA

Employees

448

Total Raised / Total Funding

$2.55B

Revenue

$49.3M

Valuation

$23.1B

ARR

$272M

CEO

Andrew Feldman

Overview

Estimated Paid Users

1.5M

Current estimate

Total Earnings Till Date

$136.4M

+6.25% from last month

Market Share

2.5%

Current share

Average Session

120

Per active user

Hallucination Rate

Model quality signal

Growth Rate

+6.98%

Monthly active users

Burn Rate

$25M

Total expenses / years active

Paid User Gain

+33.33%

Monthly paid user trend

No demo video available yet.

Platforms

Web App

Available

API

Available

Profit Analysis

-$7M

Total Loss

$41.9M

Total Profit

Performance Metrics

Accuracy

92%

Context

90%

Reasoning

93%

Safety

88%

Benchmarks

MMLU

92.5%

Cerebras Models

CS-3

Type: Foundation Model

Description: Latest wafer-scale engine supporting models with over 120 trillion parameters.

Context Length: 131K tokens

Architecture: Custom/Proprietary

Funding Rounds & Investors

Total Funding

$2.55B

Rounds

Series G

$1B

Oct 2025

Valued at $23 billion, led by Fidelity with significant participation.

Series F

$250M

Mar 2025

Led by Alpha Wave Ventures and ADG, with participation from existing investors.

Founders/Team

Andrew Feldman

Co-founder and CEO

Gary Lauterbach

Co-founder

Direct competitors

No direct competitors available.

Change Log / Major Updates

2024 · Aug 15

Introduced the Cerebras Inference Cloud for on-demand access to inference capabilities.

Compliance, Integrations & Support

Industry: Not specified

Compliances: Not specified

Integrations: Slack, Vellum

Support:email, help center, community forum

Target audience: AI Researchers, Data Scientists, Machine Learning Engineers, Tech Companies, Enterprises

Supported languages: English, Spanish, French, German, Japanese, Chinese, Korean

Cerebras Acquisitions

SeaMicro

January 1, 2012

N/A

Reviews & Rating

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More About Cerebras

Origin and Innovation

Cerebras Systems was founded in 2015 by a team of experts including Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, and Jean-Philippe Fricker, who previously worked at SeaMicro. The company emerged from a background in advanced AI computing, aiming to solve the bottlenecks in AI training.

Key Capabilities

At the heart of Cerebras is its revolutionary wafer-scale engine (WSE), which integrates thousands of AI processors into a single chip, enabling unprecedented speed and efficiency in training massive models. This allows for faster model development and deployment across various industries.

What Makes It Different

Cerebras differentiates itself through its unique hardware design, which eliminates data transfer bottlenecks common in traditional systems. This results in significantly faster training times and lower costs, making large-scale AI more accessible.

Traction and Recognition

The platform has been adopted by major companies worldwide for critical AI applications. Notable achievements include setting records for training the largest AI models and demonstrating 20x faster inference compared to standard GPUs.

Cerebras FAQ's

What is Cerebras used for?

Cerebras is used for accelerating AI model training and inference, particularly for large-scale models in research and enterprise settings.

How does Cerebras compare to Nvidia?

Cerebras offers significantly faster performance for certain AI tasks, especially with its wafer-scale engines, providing up to 20x speed improvements over standard GPU-based systems.