Company patents
SambaNova Systems, Inc.
SambaNova Systems Inc. demonstrates a strong focus on core computing infrastructure, with Computer Hardware Architecture representing 61.4% of its portfolio and growing 29.0% in 2025. Surprisingly, despite its AI focus, Machine Learning & AI patents only constitute 9.0% of its portfolio, though it saw a significant 100.0% growth in 2025, indicating an emerging priority, while Software Development & Compilers also surged by 169.2% in 2025, suggesting a recent push into software tooling.
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.
368 US filings (since 2023) · 12 categories · 17 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.
Techniques employed within compilers or related tools to analyze program code, identify entities for compilation, and optimize execution on target hardware, including reconfigurable systems, to improve performance or resource efficiency.
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 circuits for detecting and mitigating defects, ensuring data integrity, and enabling self-testing and repair mechanisms within memory devices and subsystems.
Technologies for establishing and managing high-bandwidth, low-latency communication pathways between computing components, peripherals, or systems, focusing on signal integrity, synchronization, and interface standards.
Technologies enabling the creation and management of virtual computing environments, including virtual machines and virtual desktops, with an emphasis on secure and efficient remote access, updates, and performance.
Utilizing specialized hardware components such as network processing units (NPUs) or dedicated acceleration circuits to offload and speed up network packet processing, traffic generation, or time-sensitive network operations.
Focuses on the physical design, materials, and manufacturing processes for individual memory cells, including transistor structures, interconnects, and multi-layered (3D) architectures to enhance density and performance.
Design and operation of analog and mixed-signal circuits within the memory array, such as page buffers, sense amplifiers, and data latches, responsible for reading and writing data from/to memory cells.
Involves systems designed to automatically detect errors or failures and initiate predefined or intelligent corrective actions, recovery procedures, or notifications to minimize downtime and manual intervention.
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.
Techniques and systems designed to monitor network health, diagnose issues, optimize traffic flow, and ensure continuous operation and reduced downtime in complex network environments, including cloud and storage area networks.
Techniques and apparatus for electrically testing semiconductor devices, integrated circuits, or wafers during manufacturing or post-assembly, including built-in self-test (BIST) and contact reliability assessment.
Techniques and systems for optimizing network traffic flow, distributing loads across multiple paths or resources, and ensuring quality of service based on various criteria like application type, latency, or resource availability. This includes dynamic path selection, congestion control, and resource allocation.
Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.
Patents
Showing 1-8 of 8
Virtualization & Secure Remote Access