Business Wire

Motional Selects Ambarella CVflow® AI Vision Processors for its Driverless Vehicles

2.3.2021 13:00:00 EET | Business Wire | Press release

Share

Ambarella, Inc. (Nasdaq: AMBA), an AI vision silicon company, today announced that Motional, a global leader in driverless technology, has selected Ambarella’s CVflow® family of AI processors for its driverless vehicles. The processors work with Motional’s network of LiDAR, camera, and radar sensors to enable the vehicles’ safe operation in diverse and challenging road conditions.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20210302005107/en/

To view this piece of content from mms.businesswire.com, please give your consent at the top of this page.

Ambarella’s CVflow system on chips (SoCs) will be part of the central processing module in Motional’s driverless vehicles, providing image and computer vision processing for cameras in the sensing suite, including the front-facing cameras. The CVflow AI engine will enable Motional AI algorithms to perform complex computer vision tasks, such as object detection, classification, and image segmentation, with industry-leading power efficiency. Ambarella’s advanced image processing will allow the vehicles to operate in challenging lighting conditions, including low-light and high-contrast situations. The SoC’s H.264 encoding will enable the efficient logging of video data from all cameras in the vehicle.

Motional is leading the industry in making driverless vehicles a reality; the company recently became among the first in the world to put driverless vehicles on public roads, and announced a landmark agreement with Lyft for the largest deployment of robotaxis on a major rideshare network. At the heart of these milestones is Motional’s relentless commitment to safety. The company’s driving record includes navigating more than 1.5 million miles in diverse environments, and providing more than 100,000 public rides with zero at-fault incidents. It has also led the establishment of industry-leading safety standards, having co-published the Safety First for Automated Driving white paper.

“We’re at the forefront of commercializing robotaxis, and it’s critical that our vehicle architecture allows us to scale, while maintaining the highest possible safety standards,” said Joaquín Nuño-Whelan, vice president of hardware, Motional. “Ambarella’s processors provide the AI performance, low power consumption, and advanced image processing necessary for the camera perception to perform well under all conditions. This supports the safe operation of our vehicles as we bring driverless technology to consumers worldwide.”

“We are proud to partner with Motional, a leader in driverless vehicle technology,” said Fermi Wang, CEO of Ambarella. “Motional’s autonomous vehicle expertise, including advanced AI algorithms running on our CVflow SoCs, will enable driverless vehicles that combine safety with exceptional performance.”

Ambarella’s CVflow SoC family offers an open and programmable platform for differentiated high-performance automotive systems. It includes AEC-Q100 qualified processors, as well as processors enabling systems with ISO 26262 ASIL-B (D) functional safety levels. A complete set of tools is provided to accelerate the development and optimization of neural networks, with support for industry-standard training tools including Caffe™, ONNX, PyTorch, and TensorFlow™.

About Ambarella

Ambarella’s products are used in a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and robotic applications. Ambarella’s low-power system on chips (SoCs) offer high-resolution video compression, advanced image processing, and powerful deep neural network processing to enable intelligent cameras to extract valuable data from high-resolution video streams. For more information, please visit www.ambarella.com

All brand names, product names, or trademarks belong to their respective holders. Ambarella reserves the right to alter product and service offerings, specifications and pricing at any time without notice. © 2021 Ambarella International LP. All rights reserved.

To view this piece of content from cts.businesswire.com, please give your consent at the top of this page.

Contact information

Ambarella Contact: www.ambarella.com/about/contact/inquiries
Media Contact: Molly McCarthy, Valley Public Relations, mmccarthy@ambarella.com
Investor Relations Contact: Louis Gerhardy, Ambarella, lgerhardy@ambarella.com, (408) 636-2310

About Business Wire

For more than 50 years, Business Wire has been the global leader in press release distribution and regulatory disclosure.

Subscribe to releases from Business Wire

Subscribe to all the latest releases from Business Wire by registering your e-mail address below. You can unsubscribe at any time.

Latest releases from Business Wire

Netceed appoints Eric Updyke as Group CEO10.11.2026 16:15:00 EET | Press release

Netceed, a global leader in delivering supply chain solutions across broadband, data center and energy infrastructure, today announced the appointment of Eric Updyke as Group CEO, effective 10th November, 2026. He succeeds Alper Türken, who will step down as CEO on 10th November, 2026. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20261110492065/en/ Netceed appoints Eric Updyke as Group CEO Eric brings more than 35 years of leadership experience in communications and technology infrastructure. Most recently, he served as CEO of Spirent Communications plc from 2019 to 2025. At Spirent, he led the company's shift from a hardware-centric vendor to a solutions provider built on software, automation and services. He also expanded the business into new sectors, including AI data center providers, and guided it through a strategic sale, culminating in its $1.5 billion acquisition by Keysight Technologies in 2025. Before Spirent, Eri

80% of IT Leaders Say the Digital Workplace Is Critical to AI Success, Yet Only 10% Have Fundamentally Redesigned It, Lenovo Research Finds10.11.2026 16:00:00 EET | Press release

Eight in ten IT decision makers say the digital workplace is critical to successful AI-led transformation, yet only 10% report fundamentally redesigning it for AI, according to Lenovo’s sixth Work Reborn report, The AI-ready workplace. The findings expose a significant gap between deploying AI tools and the operating capabilities needed to integrate them into how work gets done across an organization. The report frames workplace readiness as a connected system spanning people, workflows, technology, support and governance, with each contributing to how enterprises translate AI ambition into business outcomes at scale. Based on an August 2026 survey of 1,200 IT leaders at organizations with at least 1,000 employees across 12 countries, the report examines the workplace conditions needed to translate AI deployment into measurable value. While 76% rank AI-led transformation among their organization’s top IT priorities, only 27% have scaled AI across business functions. AI Deployment Is No

Nearly Nine in 10 Private Capital GPs Face Data Validation Challenges10.11.2026 16:00:00 EET | Press release

Nearly nine in 10 (88%) of private capital general partners (GPs) surveyed say their finance and operations teams spend between 11% and 50% of their time validating, reconciling, recalculating or recreating administrator outputs, according to new research from CSC, the leading provider of global business administration and compliance solutions¹. CSC surveyed more than 300 GPs and 200 limited partners (LPs) across North America, Europe, the U.K., and Asia Pacific. The report, Future Private Capital CFO 2026, examines how fund finance, liquidity management, reporting, outsourcing, cybersecurity, and AI governance are reshaping the role of the private capital CFO. Half of GPs say their finance and operations teams spend 11% to 25% of their time validating, reconciling, recalculating, or recreating administrator outputs, while 38% put the figure at 26% to 50%. As firms add asset classes, structures, jurisdictions, liquidity tools, and reporting requirements, complexity is increasingly bein

GigaDevice Launches New-Generation GD32H7 High-Performance MCU Portfolio for Full-Scenario Industrial Applications10.11.2026 16:00:00 EET | Press release

GigaDevice, a leading semiconductor company specializing in Flash memory, 32-bit microcontrollers (MCUs), sensors, and analog products, officially launches its new-generation GD32H7 MCU portfolio built on a unified chip architecture. Developed from a homologous silicon die with tailored IP configuration, peripheral optimization and scenario-specific tuning, the comprehensive product lineup precisely covers three core industrial application scenarios: industrial HMI human-machine interaction, general industrial automation, and robotic servo joint control. It delivers industrial manufacturers with a high-performance, fully integrated MCU solution featuring unified architecture, clear product classification and exceptional development reusability. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20261110874769/en/ GigaDevice New-Generation GD32H7 High-Performance MCU Universal Core Hardware Features – Building a Unified High-Perfor

The $63.4 Billion Innovation Drain: Study Finds Unexpected Tech Costs Force Cuts into AI Investment and Hiring10.11.2026 16:00:00 EET | Press release

Businesses across eight major economies incur $63.4 billion annually in technology infrastructure overspend attributable to opaque, unpredictable or difficult-to-forecast provider charges, forcing companies to scale back investments in artificial intelligence, hiring and new product development, according to new economic research from the Centre for Economics and Business Research (CEBR), commissioned by Wasabi Technologies. The overspend reflects infrastructure provider charges businesses could not forecast, rather than their own planned usage. AI and machine learning infrastructure accounted for $23.4 billion, or 37%, of the total overspend, more than any other technology category. It is also the category businesses find hardest to forecast. AI infrastructure costs are unpredictable for 22% of businesses, nearly double any other layer in the technology stack, where the range is between 8% and 12%. The findings expose a growing financial challenge for companies investing in AI. The in

In our pressroom you can read all our latest releases, find our press contacts, images, documents and other relevant information about us.

Visit our pressroom
World GlobeA line styled icon from Orion Icon Library.HiddenA line styled icon from Orion Icon Library.Eye