AMBARELLA INCAMBA

Ambarella's CVflow architecture supports building robust AI agents through multi-modal sensor fusion.

“The CVflow-architecture was designed for a variety of AI inference algorithms, including object detection, classification and tracking, semantic and instance segmentation, image processing, stereo object detection, and terrain mapping. Our latest third generation CVflow technology enables our new SoCs to efficiently process transformer AI networks. These networks facilitate computationally intense advanced AI applications and are foundational for more sophisticated reasoning and planning capabilities, including deep fusion, deep behavioral planning, large language models (LLMs), vision-language models (VLMs), vision-action models (VLAs) and reasoning models. To achieve holistic environmental perception, CVflow can process and fuse data from multiple sensing modalities, including cameras, 4D imaging radar, lidar, thermal, and near-infrared (NIR) sensors. This multi-modal capability is crucial for building robust AI agents. Furthermore, our CVflow architecture allows customers to differentiate their products by porting their own or third-party neural networks and AI algorithms, creating a flexible platform for innovation. Our AI technology is creating opportunities for us to address a broader range of markets and applications while also allowing us to capture more content per electronic system.”

Ambarella's CV7 family SoCs enable sophisticated computer vision and agentic capabilities at the edge.

“Our newest product families, CV7, CV3 and N1 integrate our 3 rd generation CVflow AI accelerator and are all built on advanced 4 and 5 nanometer (nm) process technology. These advanced SoCs are engineered to efficiently run some of the latest transformer neural networks enabling new levels of performance and agentic capabilities at the edge. The CV7 family, which includes our CV7, CV72, and CV75 SoCs, is engineered for a broad range of high-performance, power-sensitive edge AI applications. It delivers exceptional AI performance for sophisticated computer vision and multi-modal processing in next-generation automotive, security, and robotics systems.”

Ambarella's CV3 SoCs enable perceive-plan-act loop for autonomous physical AI agentic behavior in vehicles.

“Our CV3 AI central domain controller family of SoCs is specifically architected for partially to fully automated driving applications. In addition to offering our existing advanced camera perception processing, CV3 family integrates critical sensor fusion and path planning software layers. This enables a crucial shift from simple perception to a complete "perceive-plan-act" loop, which is the foundation of autonomous physical AI agentic behavior in vehicles and robots.”

Ambarella's AI SoCs deliver sophisticated agentic functionality for physical AI applications at the edge.

“We believe the edge AI inference market, sometimes referred to as the system’s edge, requires a fundamentally different SoC architecture versus the GPU, FPGA and CPU approach commonly used in the data center, particularly for physical AI applications that must perceive and react to their environment in real time. Our AI SoCs are optimized for the requirements of the edge inference market to provide highly accurate results, significant processing power, small form factor and minimal latency while consuming very low amounts of power. They are engineered to deliver not only human viewing capabilities but also sophisticated agentic functionality, often by processing data from multiple sensor modalities and running multiple, concurrent AI models on a single SoC incorporated in an end-point device or box. In addition, privacy and security can be enhanced, as critical personal information may not need to enter the network infrastructure.”

Ambarella focuses development on SoCs providing advanced physical AI inference enabled by AI agents.

“Our first AI SoC was introduced in 2018 and our third generation CVflow AI accelerator is integrated into our CV7, CV3 and N1 families of AI processors. Our development efforts are now focused on SoCs that provide advanced edge and physicalAI inference functionality further enabled by AI agents that provide advanced automation capabilities, with continued support for human viewing. We complement our advanced camera perception capabilities with advanced radar perception technology. This fusion of multiple sensor modalities is foundational to creating a comprehensive environmental model, enabling higher levels of autonomy and more robust automation.”

Ambarella's SoCs enable physical AI agents in robotics using VLMs and VLAs for interactive automation.

“Fixed robotics applications. Our SoCs are being adopted in fixed robotics applications where high-performance AI perception is essential for automating industrial and logistics processes. In environments such as factories and warehouses, our solutions provide the critical, low-latency processing required for systems to operate with speed and precision. Our newer SoCs are enabling a paradigm shift towards more interactive and intelligent automation. For example, our N1-655 and CV7 SoCs can run sophisticated vision language models (VLMs) and vision language agents (VLAs), allowing an automated inspection system to not only detect a defect but also respond to a natural language query from an operator, such as, "describe the type of scratch on the last part." This transforms these systems into physical AI agents that can perceive and react to their environment in real time, providing advanced automation capabilities that go beyond pre-programmed tasks to offer greater operational flexibility and higher overall system intelligence in applications like pick-and-place machines, automated inspection, and advanced barcode readers.”