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INTRODUCTION
Artificial intelligence is referred to as AI domains. Whether your company works in text recognition or autonomous automobiles, machine learning is an exciting component of the tech industry.
AI is an important area to protect. Artificial intelligence (AI) domain controllers bring a multitude of previously unattainable features and capabilities to answer the need to handle the vast volume of data from a range of sensors, high-speed processing, and security.
GLOBAL AI DOMAIN CONTROLLER MARKET SIZE AND FORECAST
The Global AI Domain Controller market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
NEW PRODUCT LAUNCH
Ambarella Launches AI Domain Controller SoC Family for Single-Chip Multi-Sensor Perception, Fusion and Path Planning in ADAS to L4 Autonomous Vehicles.With up to 500 eTOPS, which is a 42x improvement over Ambarella’s previous automotive family, this completely scalable, power-efficient CVflow family of SoCs offers the best AI processing performance available for the automotive market.
The CV3 offers up to a 30x increase in CPU performance over the previous generation in support of autonomous vehicle (AV) software applications thanks to its up to 16 Arm Cortex-A78AE CPU cores. This offers deep fusion for various sensor modalities and AV path planning, as well as centralised, single-chip processing for multi-sensor perception, including high-resolution vision, radar, ultrasonic, and lidar.
As a result, L2+ through Level 4 autonomous driving (AD) systems are more capable of perceiving the environment under difficult lighting, weather, and driving circumstances for both the driver and the machine.
Ambarella’s new CVflow architecture, which carries algorithm-first design ethos, makes its debut with the CV3. The on-chip neural vector processor (NVP), which offers up to 500 eTOPS of AI compute, industry-leading power efficiency, and support for the most recent developments in neural network (NN) inferences, was created as a result of this.
Advanced radar perception software, such as the Oculii adaptive AI software algorithms, can now be operated on the NVP thanks to additional improvements. A new floating-point general vector processor (GVP) was created to complement this and offload traditional computer vision and radar processing from the NVP engines as well as methods that require a lot of floating-point computation from the Arm CPUs.
COMPANY PROFILE
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