Company patents
Groq, Inc.
Groq, Inc. demonstrates a strong focus on core computing infrastructure, with Machine Learning & AI (43.7% of portfolio), Operating Systems & Program Control (37.9%), and Computer Hardware Architecture (35.6%) dominating its patent portfolio. While Machine Learning & AI saw a 20.0% YoY growth in 2024, the significant 225.0% YoY surge in Operating Systems & Program Control patents in 2024, followed by a 7.7% growth in 2025, suggests an emerging focus on optimizing software-hardware interaction, which is critical for high-performance AI computing, despite the partial data for 2026 showing a decline across most categories.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
87 US filings (since 2023) · 12 categories · 9 themes
Novel hardware designs and processing pipelines tailored for specific computational tasks, such as graphics rendering, neural network operations, or matrix transformations, often involving custom circuits, memory arrays, or data flow mechanisms.
Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.
Hardware and control techniques for optimizing memory access latency, ensuring data integrity, and managing storage resources efficiently. This includes error correction, read/write voltage control, and intelligent data placement or in-memory computation.
Methods and systems for efficiently allocating computing resources, balancing workloads, and managing power states to improve performance, reduce energy consumption, or enhance reliability in computing platforms.
Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.
Techniques for efficiently supplying power to electronic devices, managing battery charge/discharge cycles, optimizing power consumption, and converting power between different voltage levels or AC/DC for improved energy efficiency and longevity.
Mechanisms to facilitate the secure exchange of data between different entities or systems while enforcing usage policies, managing digital content rights, and ensuring data consistency during replication or transfer.
Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
Patents
Showing 1-6 of 6
Power Delivery & Battery Management