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BYD, Geely, Isuzu and Nissan Adopt NVIDIA DRIVE Hyperion for Level 4 Vehicles

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NVIDIA (NVDA) announced broad adoption of its DRIVE Hyperion platform by automakers BYD, Geely, Isuzu and Nissan and multiple mobility providers.

The company said full-stack robotaxis powered by DRIVE will roll out with Uber across 28 cities by 2028, starting in Los Angeles and San Francisco in H1 2027. NVIDIA also introduced Halos OS safety architecture and Alpamayo 1.5 steerable driving model; Alpamayo has been downloaded by more than 100,000 developers.

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Positive

  • Partnerships with BYD, Geely, Isuzu and Nissan to build L4 vehicles on DRIVE Hyperion
  • Uber-backed robotaxi rollout across 28 cities by 2028, starting H1 2027
  • NVIDIA Halos OS built on ASIL D DriveOS foundations for automotive-grade safety
  • Alpamayo 1.5 released; Alpamayo portfolio downloaded by 100,000+ developers

Negative

  • Large-scale robotaxi deployment timeline extends to 2028, delaying widespread commercial revenue realization
  • Partnerships announced without disclosed binding commercial values or explicit near-term revenue metrics

News Market Reaction – NVDA

-0.70%
1 alert
-0.70% News Effect

On the day this news was published, NVDA declined 0.70%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Robotaxi markets: 28 markets Robotaxi launch start: First half of 2027 Deployment target year: 2028 +5 more
8 metrics
Robotaxi markets 28 markets Planned NVIDIA full-stack robotaxis with Uber by 2028
Robotaxi launch start First half of 2027 Initial Uber robotaxi rollout in Los Angeles and San Francisco
Deployment target year 2028 Uber fleet of autonomous vehicles across 28 cities and four continents
Alpamayo downloads 100,000+ developers Number of automotive developers who downloaded Alpamayo since launch
NCAP rating Five-star active safety stack Safety stack included in NVIDIA Halos OS architecture
ASIl certification ASIL D DriveOS safety foundations used by NVIDIA Halos OS
Cities and continents 28 cities, four continents Scope of NVIDIA-powered Uber autonomous ride-hailing network
3D tech 3D Gaussian Splatting Core technology in NVIDIA Omniverse NuRec reconstruction stack

Market Reality Check

Price: $172.93 Vol: Volume 213,712,481 is 14%...
normal vol
$172.93 Last Close
Volume Volume 213,712,481 is 14% above the 20-day average of 186,899,209. normal
Technical Price 183.19 is trading above the 200-day MA at 177.64.

Peers on Argus

NVDA is up 2.19% while key peers like AVGO (-0.34%), TSM (-0.30%), MU (-0.98%) a...

NVDA is up 2.19% while key peers like AVGO (-0.34%), TSM (-0.30%), MU (-0.98%) and NXPI (-1.38%) are down, with only AMD modestly higher (0.82%), pointing to a stock-specific move tied to this AV news.

Historical Context

5 past events · Latest: Mar 11 (Positive)
Pattern 5 events
Date Event Sentiment Move Catalyst
Mar 11 AI cloud partnership Positive +0.7% NVIDIA investing $2B in Nebius to scale full-stack AI cloud capacity.
Mar 03 GTC 2026 announcement Positive -1.3% Announcement of GTC 2026 with 30,000+ attendees and broad AI focus.
Mar 02 Optics partnership Positive +3.0% Multiyear Lumentum deal with multibillion purchase commitment and $2B investment.
Mar 02 Optics partnership Positive +3.0% Strategic Coherent partnership with $2B NVIDIA investment and capacity access.
Feb 25 Earnings release Positive -5.5% Record Q4 and FY26 revenue with strong data center results and guidance.
Pattern Detected

Recent major AI and partnership announcements have often led to positive moves, while large events and strong earnings have sometimes seen negative next-day reactions, indicating occasional divergences on good news.

Recent Company History

Over the past few weeks, NVIDIA has reported record Q4 revenue of $68.1 billion and FY26 revenue of $215.9 billion, alongside multiple multibillion-dollar AI infrastructure partnerships with Nebius, Lumentum and Coherent. GTC 2026 was also announced, underscoring NVIDIA’s central role in the AI ecosystem. Price reactions have been mixed, with some strong gains on partnership news but a selloff after earnings, suggesting investors periodically reassess valuation even on positive developments like today’s autonomous vehicle platform expansion.

Market Pulse Summary

This announcement highlights NVIDIA’s deepening reach into Level 4 autonomy, with DRIVE Hyperion and...
Analysis

This announcement highlights NVIDIA’s deepening reach into Level 4 autonomy, with DRIVE Hyperion and Halos OS adopted by major automakers and mobility players, and full-stack robotaxis targeted across 28 markets by 2028. The Alpamayo 1.5 model and Omniverse NuRec simulation stack underscore a focus on reasoning-based AI and high-fidelity testing. In context of recent large AI partnerships and record earnings, key factors to monitor include partner rollout timelines, regulatory developments and adoption of these tools by the more than 100,000 AV developers already engaging with Alpamayo.

Key Terms

robotaxis, system-on-a-chip, ASIL D, autonomous vehicle, +2 more
6 terms
robotaxis technical
"NVIDIA full-stack robotaxis to launch with Uber across 28 markets"
Robotaxis are passenger vehicles that drive themselves using sensors and software, operating like a taxi without a human driver. For investors, they matter because they promise a new, potentially large revenue stream from automated ride-hailing and logistics while also carrying high costs, safety and regulatory risks, and heavy competition—similar to betting on a new public transit system that must prove it can run safely and profitably at scale.
system-on-a-chip technical
"using the NVIDIA DRIVE AGX Thor™ system-on-a-chip, part of NVIDIA DRIVE Hyperion"
A system-on-a-chip (SoC) is a single microchip that packs the main computing components—processor cores, graphics, memory controllers and communication interfaces—onto one piece of silicon so a device needs fewer separate parts. For investors, SoCs matter because they can lower manufacturing costs, improve battery life and performance, and enable new product designs; a company that designs or secures cutting‑edge SoCs can gain margin advantages, market share and supply‑chain leverage.
ASIL D regulatory
"Built on ASIL D-certified DriveOS foundations, its unified, three-layer safety architecture"
ASIL D is the highest safety classification in the automotive functional-safety standard ISO 26262, applied when a failure could lead to severe harm or death. For investors, ASIL D designation signals that a vehicle component or system must meet the strictest engineering, testing and certification controls, which typically raises development cost, lengthens timelines and affects regulatory risk and liability exposure — much like building a nuclear-grade safety system for a car feature.
autonomous vehicle technical
"momentum toward safe, scalable autonomous vehicle (AV) development"
A vehicle that can navigate and operate without a person actively controlling the steering, braking and acceleration, using onboard sensors, cameras, maps and software to make driving decisions much like a robot chauffeur. Investors watch autonomous vehicles because they can reshape transportation economics—lowering labor and operating costs for fleets, creating new service and data revenues, and introducing regulatory and liability risks that can rapidly change a company's value, similar to how smartphones transformed multiple industries.
Gaussian Splatting technical
"NVIDIA Omniverse NuRec is a set of 3D Gaussian Splatting technologies"
Gaussian splatting is a computer-graphics and machine-learning technique that builds a 3D scene from many small, fuzzy blobs (mathematical Gaussians) instead of detailed meshes or flat images; rendering a view is done by blending those blobs to quickly produce realistic pictures. For investors, it matters because it can deliver high-quality, real-time 3D visuals with less computing power and latency—potentially lowering costs, speeding product development, and enabling new AR/VR, gaming, streaming, or AI-driven services.
digital twin technical
"using NuRec to build a Gaussian-based digital twin of its physical test track"
A digital twin is a live virtual replica of a physical asset, process, or system that mirrors real-world behavior using data and models so users can test changes, predict problems, and measure performance without touching the real thing. For investors, digital twins matter because they can lower maintenance costs, speed product development, improve uptime and reliability, and make future cash flows and risks easier to forecast — like using a flight simulator to safely train and tune a real airplane.

AI-generated analysis. Not financial advice.

Leading Automakers and Mobility Providers Build on NVIDIA’s End-to-End Autonomous Vehicle Platform as NVIDIA Advances Level 4 Hardware

News Summary:

  • BYD, Geely, Isuzu and Nissan are building level 4-ready vehicles on the NVIDIA DRIVE Hyperion platform.
  • ​​NVIDIA full-stack robotaxis to launch with Uber across 28 markets by 2028, beginning with Los Angeles and San Francisco in the first half of 2027.
  • Bolt, Grab, Lyft and TIER IV are scaling global robotaxi development using NVIDIA DRIVE Hyperion.
  • NVIDIA Halos OS introduces a unified safety architecture for AI-driven vehicles, providing a production-ready safety foundation for L4 autonomy on DRIVE Hyperion.
  • The NVIDIA Alpamayo 1.5 open model and NVIDIA Omniverse NuRec technologies help developers train, simulate and refine autonomous driving systems at scale.

SAN JOSE, Calif., March 16, 2026 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced that NVIDIA DRIVE Hyperion™ platform adoption is growing expansively, including with global automakers BYD, Geely, Isuzu and Nissan, as well as leading mobility providers — reflecting rapid momentum toward safe, scalable autonomous vehicle (AV) development.

Standardizing on DRIVE Hyperion — supported by the NVIDIA Halos OS safety architecture — enables these partners to accelerate validation cycles and streamline global deployment strategies. By using a standardized reference architecture that integrates compute, sensors, networking and safety systems, manufacturers and mobility leaders can achieve faster fleet learning and more efficient global scaling.

“The autonomous vehicle revolution is here — the first multitrillion-dollar robotics industry,” said Jensen Huang, founder and CEO of NVIDIA. “Everything that moves will eventually be autonomous. The NVIDIA Hyperion platform and our Alpamayo open reasoning models give vehicles the ability to perceive their surroundings, reason through complex situations and act safely — making scalable, level 4 autonomy possible.”

DRIVE Hyperion Scales L4 Vehicle Programs and Robotaxi Platforms
Leading automakers BYD, Geely and Nissan (powered by Wayve software) are developing next-generation level 4 AV programs built on NVIDIA DRIVE Hyperion production-ready compute and sensor architecture.

Isuzu and TIER IV are also collaborating on L4 autonomous bus development using the NVIDIA DRIVE AGX Thor™ system-on-a-chip, part of NVIDIA DRIVE Hyperion.

In addition, NVIDIA is collaborating with Amazon to advance Alexa Custom Assistant with multimodal edge AI capabilities on NVIDIA DRIVE AGX™ accelerated compute, enabling automakers to deliver ambient in-cabin intelligence with privacy in mind and enhanced performance.

Uber is building one of the world’s most expansive autonomous ride-hailing networks powered by NVIDIA DRIVE Hyperion. Supported by a growing roster of automaker platforms, NVIDIA and Uber today announced an expanded partnership to launch a fleet of autonomous vehicles entirely powered by the full-stack NVIDIA DRIVE AV software across 28 cities and four continents by 2028.

The rollout will begin with Los Angeles and the San Francisco Bay Area in the first half of 2027. This DRIVE Hyperion-powered fleet will tap into NVIDIA Alpamayo open models and the NVIDIA Halos operating system to accelerate the development and deployment of safe, scalable robotaxi services worldwide.

Other mobility leaders including Bolt, Grab and Lyft are also leveraging NVIDIA DRIVE Hyperion to accelerate autonomous mobility initiatives, signaling broader industry momentum toward software-defined robotaxi fleets.

Advancing Level 4 Hardware
Extending NVIDIA DRIVE’s full-stack approach to software safety, NVIDIA Halos OS delivers a universal safety foundation for production-ready, scalable autonomy on DRIVE Hyperion.

Built on ASIL D-certified DriveOS foundations, its unified, three-layer safety architecture integrates safety middleware and deployable safety applications — including an NCAP five-star active safety stack to provide the guardrails that enable reasoning-based AI systems to operate with verifiable, automotive-grade integrity at scale.

To continuously validate and support the rigorous AV safety ecosystem, AEye, Flex, Gatik, Hesai, Lucid, MIRA, PlusAI, Qt Group, Saphira and Valeo are joining the NVIDIA Halos AI Systems Inspection Lab.

NVIDIA Alpamayo 1.5: A Reasoning Engine and Steerable Driving Model
In addition, NVIDIA today introduced Alpamayo 1.5, a major upgrade that expands NVIDIA Alpamayo — an open portfolio of AI models, simulation frameworks and physical AI datasets for building safe, transparent, reasoning-based AVs — with an interactive, steerable reasoning model.

Building on the Alpamayo 1 model, Alpamayo 1.5 takes driving video, ego-motion history, navigation guidance and natural language prompts as inputs. Then, it outputs driving trajectories with reasoning traces. This enables developers to steer behavior and specify constraints directly through navigation and text prompts.

Alongside Alpamayo 1.5, the Alpamayo portfolio now includes post-training scripts to enable model adaptation for researchers and developers. Since launching earlier this year, Alpamayo has already been downloaded by more than 100,000 automotive developers worldwide.

With Alpamayo 1.5, vehicles can more effectively learn from rare or unpredictable events — such as unusual road hazards and complex human behavior — by replaying scenarios, querying model decisions and applying updated behavioral guidance through prompts and navigation settings.

The model also adds flexible multi-camera support and configurable camera parameters, simplifying reuse of the same AI driving stack across vehicle lines and sensor configurations while preserving compatibility with existing Alpamayo integrations.

Accelerate Reasoning AV Development With NVIDIA Omniverse NuRec
Testing and validating reasoning-based AVs requires high-fidelity simulation that covers the diversity of real-world driving. NVIDIA Omniverse NuRec is a set of 3D Gaussian Splatting technologies that ingest real-world data to reconstruct and render interactive simulation.

NuRec will be generally available on the NVIDIA NGC catalog, helping AV developers stress-test reasoning behaviors and simulate edge cases without the time and costs of manual worldbuilding.

Leading AV toolchain providers such as 51WORLD, dSPACE and Foretellix have integrated NuRec into their simulation solutions. Voxel51 is using NuRec in its Physical AI Workbench for customers such as Porsche Research, while Parallel Domain is using the NuRec Fixer model to enhance its reconstruction pipeline. Mcity, an AV research facility run by the University of Michigan, is using NuRec to build a Gaussian-based digital twin of its physical test track for the AV industry and research community.

Watch the GTC keynote from Huang and explore sessions.

About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.

For further information, contact:
Jessica Soares
Corporate Communications
NVIDIA Corporation
press@nvidia.com

Certain statements in this press release including, but not limited to, statements as to: Everything that moves eventually being robotic and the NVIDIA DRIVE Hyperion platform and Alpamayo open reasoning models being the engines of this transformation, providing the essential foundation for vehicles to perceive, reason and act with humanlike judgment to make safe, scalable level 4 autonomy a reality; the benefits, impact, performance, and availability of NVIDIA’s products, services, and technologies; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing product and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

© 2026 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo and NVIDIA DRIVE Hyperion are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/a804db3c-6a19-4ea3-a130-89e718f076b4


FAQ

What does NVIDIA's March 16, 2026 announcement mean for NVDA revenue prospects?

It signals expanded AV partnerships but not immediate revenue recognition. According to NVIDIA, DRIVE Hyperion adoption grows with automakers and mobility providers, yet the robotaxi rollout spans to 2028, suggesting revenue effects may materialize over multiple years rather than immediately.

When will NVDA-powered robotaxis begin service in the U.S. under the Uber deal?

Service begins in the first half of 2027 in key California markets. According to NVIDIA, the Uber deployment starts with Los Angeles and San Francisco in H1 2027 as part of a broader rollout across 28 cities by 2028.

How does Halos OS affect NVDA's autonomous vehicle safety credentials?

Halos OS provides a production-ready, automotive-grade safety foundation. According to NVIDIA, Halos is built on ASIL D DriveOS foundations and offers a three-layer safety architecture and deployable safety applications for scalable L4 autonomy.

What is Alpamayo 1.5 and why does it matter for NVDA investors?

Alpamayo 1.5 is a steerable reasoning driving model that enhances AV training and validation. According to NVIDIA, it outputs driving trajectories with reasoning traces and has been downloaded by over 100,000 automotive developers, aiding developer adoption and scale.

Which automakers are adopting NVIDIA DRIVE Hyperion for level 4 vehicles (NVDA)?

BYD, Geely, Isuzu and Nissan are adopting DRIVE Hyperion for L4 programs. According to NVIDIA, these automakers plus mobility partners are standardizing on DRIVE Hyperion to speed validation and global deployment strategies.
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