For the Inventor, By the Inventor

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Sunnyvale, CA, United States of America

Cerebras Systems Inc.

USPTO Granted Patents = 53

EPO Patents = 7

Trademarks = 2

Forward Citations = 356

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13 inventors (with patents filed for the assignee):

Gary R Lauterbach (30 out of 72 patents)

Sean Lie (30 out of 42 patents)

Michael Edwin James (30 out of 31 patents)

4. Michael J Morrison (30 out of 62 patents)

5. Srikanth Arekapudi (27 out of 38 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. Vladimir Kibardin (3 out of 3 patents)

11. Stanislav Funiak (3 out of 3 patents)

12. Vijay Anand Reddy Korthikanti (2 out of 2 patents)

13. Tim Botsford (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

53 patents: Sort by Forward Citations

1. 12739213 - Dynamic routing for accelerated deep learning (2026-09-15),

2. 12705112 - Distributed placement of linear operators for accelerated deep learning (2026-08-11),

3. 12625745 - Optimized placement for efficiency for accelerated deep learning (2026-05-12),

4. 12463139 - Apparatus and method for fabricating multi-die interconnection using lithography process (2025-11-04),

5. 12314218 - Task synchronization for accelerated deep learning (2025-05-27),

6. 12217147 - Advanced wavelet filtering for accelerated deep learning (2025-02-04),

7. 12204954 - Placement of compute and memory for accelerated deep learning (2025-01-21),

8. 12177133 - Dynamic routing for accelerated deep learning (2024-12-24),

9. 12169771 - Basic wavelet filtering for accelerated deep learning (2024-12-17),

10. 11934945 - Accelerated deep learning (2024-03-19),

11. 11853867 - Task activating for accelerated deep learning (2023-12-26),

12. 11727257 - Data structure descriptors for deep learning acceleration (2023-08-15),

13. 11727254 - Control wavelet for accelerated deep learning (2023-08-15),

14. 11631600 - Apparatus and method for securing components of an integrated circuit (2023-04-18),

15. 11626342 - Apparatuses and methods for implementing a sliding thermal interface between substrates with varying coefficients of thermal expansion (2023-04-11),

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.

Company Badge

USPTO Data Jan 1 1976 - Sep 22 2026

Cerebras Systems Inc.

53 Patents

#94 in Sunnyvale, CA

#1,564 in California

#6,659 in US

#13,303 in the World

Sunnyvale, CA, United States of America

Cerebras Systems Inc.

Forward Citations = 356

13 inventors:

Gary R Lauterbach (30 out of 72 patents)

Sean Lie (30 out of 42 patents)

Michael Edwin James (30 out of 31 patents)

4. Michael J Morrison (30 out of 62 patents)

5. Srikanth Arekapudi (27 out of 38 patents)

Please report any incorrect information to [email protected]

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