Nvidia also wants to enter the autonomous driving market and acquired DeepMap

Recently The news was released that Nvidia has signed an agreement to acquire DeepMap, a well-funded startup with mapping technology that helps autonomous vehicles navigate the road more reliably.

DeepMap stands out for offering products based on map technology. One of them is DeepMap HDR which helps car manufacturers to create maps and constantly update them with the latest information.

As a result, autonomous vehicles always receive the most accurate information about their environment. Additionally, DeepMap RoadMemory creates maps automatically using sensors attached to autonomous vehicles.

En particular, DeepMap's mapping solution has already been widely accepted by the autonomous vehicle industry and the acquisition is expected to enrich Nvidia's portfolio of autonomous driving solutions by adding the powerful mapping technology of DeepMap to its autonomous operations system, Nvidia Drive.

Although the terms of the deal were not disclosed, it's safe to assume that Nvidia is paying a pretty substantial sum for the startup. DeepMap has raised more than $ 90 million in funding since its launch six years ago from investors including Andreessen Horowitz.

DeepMap Technology Will Expand Nvidia's Growing Product Line for the automotive sector. The company has created an end-to-end suite of autonomous vehicle solutions that includes not only chips, but also software tools for building, training, and testing AI driving systems.

"The acquisition is an endorsement of DeepMap's vision, technology and unique people," said Ali Kani, vice president and general manager of Automotive at NVIDIA. "DeepMap is expected to expand our mapping products, help us scale mapping operations around the world, and expand our autonomous driving experience."

"NVIDIA is an amazing world-changing company that shares our vision of accelerating secure autonomy," said James Wu, co-founder and CEO of DeepMap. “Joining forces with NVIDIA will allow our technology to scale faster and benefit more people sooner. We look forward to continuing our journey as part of the NVIDIA team.

Nvidia to continue with DeepMap products soonBut the chipset and artificial intelligence specialist will also integrate the technology with its own autonomous and autonomous smart vehicle solutions.

Nvidia's portfolio includes not only comprehensive solutions for autonomous vehicles, but also software for building, training, and testing AI-based driving systems. With this, Nvidia offers tools and solutions for neural network training, validation in the data center and high computing power applications in automobiles.

The centerpiece of Nvidia's car portfolio is its Drive AGX series of system-on-chip processors. They can be deployed inside autonomous vehicles to power onboard artificial intelligence software that makes navigation decisions.

The newest chip in the Drive AGX series is the Orin, which was described as seven times faster than its predecessor when it debuted. Each Orin chip combines graphics processing elements with Arm's central processing units to deliver a maximum throughput of 200 billion operations per second.

Mapping technology What Nvidia Will Get Through Acquisition DeepMap will enhance your ability to address another requirement key project of the companies who build autonomous vehicles. At the same time, the deal could help the chipmaker intensify competition against Intel Corp.'s Mobileye unit.

With the acquisition of DeepMap technology, Nvidia will soon be able to compete with the Mobileye portfolio of competitor Intel. Intel's Mobileye offers the same types of products and solutions for autonomous vehicles. The DeepMap acquisition should be completed in the third quarter of this year.

Nvidia expects to close the acquisition in the third quarter of this year. The startup's technology will expand the company's existing Drive Mapping offering, which allows autonomous vehicles to assemble a map of a road from data collected by their on-board sensors.

Finally if you are interested in knowing more about it, you can check the details In the following link.


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