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For the Inventor, By the Inventor

Los Altos, CA, United States of America

Cerebras Systems Inc.


USPTO Granted Patents = 50


Trademarks = 2

Forward Citations = 326

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13 inventors (with patents filed for the assignee):

goldMedal Gary R Lauterbach (27 out of 69 patents)

silverMedal Sean Lie (27 out of 39 patents)

bronzeMedal Michael Edwin James (27 out of 28 patents)

4.  Michael J Morrison (27 out of 59 patents)

5.  Srikanth Arekapudi (26 out of 37 patents)

6.  Jean-Philippe Fricker (23 out of 45 patents)

7.  Philip Arnold Ferolito (8 out of 30 patents)

8.  Paul Kennedy (5 out of 5 patents)

9.  Frank Jun (4 out of 4 patents)

10.  Tim Botsford (1 out of 1 patent)

11.  Vladimir Kibardin (1 out of 1 patent)

12.  Vijay Anand Reddy Korthikanti (1 out of 1 patent)

13.  Stanislav Funiak (1 out of 1 patent)


Core Competencies:
Accelerated Deep Learning
Multi-Die Interconnection
Data Structure Descriptors
Thermal Interface
Neural Networks
Task Synchronization
Wavelet Filtering
Microthreading
Floating-Point Unit
Compute Fabric
Integrated Circuit Security
Processor Redundancy

50 patents:

1. 12463139 - Apparatus and method for fabricating multi-die interconnection using lithography process (2025-11-04),
2. 12314218 - Task synchronization for accelerated deep learning (2025-05-27),
3. 12217147 - Advanced wavelet filtering for accelerated deep learning (2025-02-04),
4. 12204954 - Placement of compute and memory for accelerated deep learning (2025-01-21),
5. 12177133 - Dynamic routing for accelerated deep learning (2024-12-24),
6. 12169771 - Basic wavelet filtering for accelerated deep learning (2024-12-17),
7. 11934945 - Accelerated deep learning (2024-03-19),
8. 11853867 - Task activating for accelerated deep learning (2023-12-26),
9. 11727257 - Data structure descriptors for deep learning acceleration (2023-08-15),
10. 11727254 - Control wavelet for accelerated deep learning (2023-08-15),
11. 11631600 - Apparatus and method for securing components of an integrated circuit (2023-04-18),
12. 11626342 - Apparatuses and methods for implementing a sliding thermal interface between substrates with varying coefficients of thermal expansion (2023-04-11),
13. 11580394 - Accelerated deep learning (2023-02-14),
14. 11488004 - Neuron smearing for accelerated deep learning (2022-11-01),
15. 11475282 - Microthreading for accelerated deep learning (2022-10-18),
Cerebras Systems Inc. is a technology company that transforms AI workloads by accelerating deep learning. They have developed the Wafer-Scale Engine (WSE), which is the largest chip ever built and provides unparalleled performance for AI training and inference. Cerebras aims to enable breakthroughs in healthcare, scientific research, and other industries through their advanced computing solutions.
This text is generated by artificial intelligence and may not be accurate.

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USPTO Data Jan 1 1976 - Jan 6 2026

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50 Patents

#6 in Los Altos, CA

#1,609 in California

#6,771 in US

#13,599 in the World

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Los Altos, CA, United States of America

Cerebras Systems Inc.

Forward Citations = 326

13 inventors:

goldMedal Gary R Lauterbach (27 out of 69 patents)

silverMedal Sean Lie (27 out of 39 patents)

bronzeMedal Michael Edwin James (27 out of 28 patents)

4.  Michael J Morrison (27 out of 59 patents)

5.  Srikanth Arekapudi (26 out of 37 patents)

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