UPDATE -- NVIDIA, Alphabet and Google Collaborate on the Future of Agentic and Physical AI
NVIDIA, Alphabet and Google have announced major collaborative initiatives to advance AI technology and its applications. The partnership includes infrastructure development, open model optimizations, and breakthroughs in robotics, drug discovery, and energy management.
Key developments include: Google Cloud becoming an early adopter of NVIDIA's GB300 NVL72 and RTX PRO 6000 Blackwell Server Edition GPU; NVIDIA implementing Google DeepMind's SynthID for digital watermarking; optimization of Gemma models for NVIDIA GPUs; and collaboration on robotics development through Intrinsic Flowstate.
The partnership also features joint work with Disney Research on Newton, an open-source physics engine that accelerates robotics machine learning workloads by 70x. Additionally, Isomorphic Labs is utilizing NVIDIA GPUs for drug discovery, while X's Tapestry project focuses on AI-powered electric grid optimization.
NVIDIA, Alphabet e Google hanno annunciato importanti iniziative collaborative per avanzare nella tecnologia AI e nelle sue applicazioni. La partnership comprende lo sviluppo di infrastrutture, ottimizzazioni di modelli aperti e innovazioni nella robotica, nella scoperta di farmaci e nella gestione dell'energia.
Tra i principali sviluppi ci sono: Google Cloud che diventa un primo utilizzatore della GPU NVIDIA GB300 NVL72 e RTX PRO 6000 Blackwell Server Edition; NVIDIA che implementa SynthID di Google DeepMind per il watermarking digitale; ottimizzazione dei modelli Gemma per le GPU NVIDIA; e collaborazione nello sviluppo della robotica attraverso Intrinsic Flowstate.
La partnership prevede anche un lavoro congiunto con Disney Research su Newton, un motore fisico open-source che accelera i carichi di lavoro di machine learning nella robotica di 70 volte. Inoltre, Isomorphic Labs sta utilizzando le GPU NVIDIA per la scoperta di farmaci, mentre il progetto Tapestry di X si concentra sull'ottimizzazione della rete elettrica alimentata dall'IA.
NVIDIA, Alphabet y Google han anunciado importantes iniciativas de colaboración para avanzar en la tecnología de IA y sus aplicaciones. La asociación incluye el desarrollo de infraestructura, optimizaciones de modelos abiertos y avances en robótica, descubrimiento de fármacos y gestión de energía.
Los desarrollos clave incluyen: Google Cloud convirtiéndose en un adoptante temprano de la GPU NVIDIA GB300 NVL72 y RTX PRO 6000 Blackwell Server Edition; NVIDIA implementando SynthID de Google DeepMind para marcas de agua digitales; optimización de modelos Gemma para GPUs NVIDIA; y colaboración en el desarrollo de robótica a través de Intrinsic Flowstate.
La asociación también presenta un trabajo conjunto con Disney Research en Newton, un motor físico de código abierto que acelera las cargas de trabajo de aprendizaje automático en robótica en 70 veces. Además, Isomorphic Labs está utilizando GPUs NVIDIA para el descubrimiento de fármacos, mientras que el proyecto Tapestry de X se centra en la optimización de la red eléctrica impulsada por IA.
NVIDIA, Alphabet, 그리고 Google는 AI 기술과 그 응용을 발전시키기 위한 주요 협력 이니셔티브를 발표했습니다. 이 파트너십은 인프라 개발, 공개 모델 최적화, 로봇 공학, 약물 발견 및 에너지 관리에서의 혁신을 포함합니다.
주요 개발 사항으로는: Google Cloud가 NVIDIA의 GB300 NVL72 및 RTX PRO 6000 Blackwell Server Edition GPU의 초기 사용자로 나선 것; NVIDIA가 Google DeepMind의 SynthID를 디지털 워터마킹에 구현한 것; NVIDIA GPU에 대한 Gemma 모델 최적화; 그리고 Intrinsic Flowstate를 통한 로봇 공학 개발 협업이 있습니다.
또한 이 파트너십은 Disney Research와의 공동 작업으로, 로봇 공학의 기계 학습 작업 부하를 70배 가속화하는 오픈 소스 물리 엔진인 Newton을 개발하고 있습니다. 추가로, Isomorphic Labs는 약물 발견을 위해 NVIDIA GPU를 활용하고 있으며, X의 Tapestry 프로젝트는 AI 기반 전력망 최적화에 집중하고 있습니다.
NVIDIA, Alphabet et Google ont annoncé d'importantes initiatives de collaboration pour faire avancer la technologie de l'IA et ses applications. Le partenariat comprend le développement d'infrastructures, des optimisations de modèles ouverts et des percées dans la robotique, la découverte de médicaments et la gestion de l'énergie.
Les développements clés incluent : Google Cloud devenant un premier utilisateur de la GPU NVIDIA GB300 NVL72 et RTX PRO 6000 Blackwell Server Edition ; NVIDIA mettant en œuvre SynthID de Google DeepMind pour le marquage numérique ; optimisation des modèles Gemma pour les GPU NVIDIA ; et collaboration sur le développement de la robotique via Intrinsic Flowstate.
Le partenariat comprend également un travail conjoint avec Disney Research sur Newton, un moteur physique open-source qui accélère les charges de travail d'apprentissage automatique en robotique de 70 fois. De plus, Isomorphic Labs utilise des GPU NVIDIA pour la découverte de médicaments, tandis que le projet Tapestry de X se concentre sur l'optimisation du réseau électrique alimentée par l'IA.
NVIDIA, Alphabet und Google haben bedeutende gemeinsame Initiativen angekündigt, um die KI-Technologie und ihre Anwendungen voranzutreiben. Die Partnerschaft umfasst den Aufbau von Infrastrukturen, Optimierungen offener Modelle sowie Durchbrüche in der Robotik, der Arzneimittelentdeckung und dem Energiemanagement.
Zu den wichtigsten Entwicklungen gehören: Google Cloud, das ein früher Anwender der NVIDIA GB300 NVL72 und RTX PRO 6000 Blackwell Server Edition GPU wird; NVIDIA, das Google DeepMinds SynthID für digitales Watermarking implementiert; die Optimierung von Gemma-Modellen für NVIDIA-GPUs; und die Zusammenarbeit bei der Entwicklung von Robotik über Intrinsic Flowstate.
Die Partnerschaft umfasst auch gemeinsame Arbeiten mit Disney Research an Newton, einer Open-Source-Physik-Engine, die die Arbeitslasten des maschinellen Lernens in der Robotik um das 70-fache beschleunigt. Darüber hinaus nutzt Isomorphic Labs NVIDIA-GPUs für die Arzneimittelentdeckung, während das Tapestry-Projekt von X sich auf die KI-gestützte Optimierung des Stromnetzes konzentriert.
- GB300 NVL72 delivers 1.5x more AI performance than previous generation
- Blackwell's revenue opportunity increased by 50x for AI factories
- Google Cloud becomes first to offer both B200 and GB200-based instances
- 70x acceleration in robotics machine learning workloads with Newton engine
- None.
Insights
The expanded partnership between NVIDIA, Alphabet and Google represents a significant strategic win for NVIDIA, cementing its position as the foundation for Google Cloud's AI infrastructure. The announcement that Google Cloud will be among the first to adopt the NVIDIA GB300 NVL72 rack-scale solution and NVIDIA RTX PRO 6000 Blackwell Server Edition GPU validates strong demand for NVIDIA's latest hardware platforms.
Particularly noteworthy is the disclosure that the GB300 NVL72 delivers
The partnership's expansion beyond infrastructure into applications like robotics, drug discovery, and energy grid optimization represents a strategic diversification that could drive sustainable long-term growth. NVIDIA's technology is now embedded across multiple Alphabet divisions including Google DeepMind, Isomorphic Labs, Intrinsic, and X's Tapestry project, creating multiple revenue streams.
This collaboration signals that despite intensifying competition in the AI chip market, NVIDIA continues to maintain its technological edge and preferred partner status with the world's largest technology companies. The integration of NVIDIA's hardware with Google's software innovations like SynthID for digital watermarking and optimization of Gemma models for NVIDIA GPUs further strengthens NVIDIA's ecosystem advantage.
This partnership offers several technological breakthroughs that extend NVIDIA's competitive moat. The collaboration spans the full AI stack—from hardware acceleration to foundation models to application-specific implementations—creating significant technical barriers to entry for competitors.
On the infrastructure side, Google Cloud becoming an early adopter of both B200 and GB200-based instances represents a significant validation of NVIDIA's Blackwell architecture. The
The partnership's focus on robotics is particularly significant, with NVIDIA Isaac Manipulator foundation models enabling universal robot grasping capabilities. This addresses one of the most complex challenges in industrial robotics—adaptive manipulation—potentially transforming manufacturing automation. The real-time visualization connection between Intrinsic Flowstate and NVIDIA Omniverse creates a comprehensive digital twin environment for robotics development.
The collaboration on responsible AI through integration of SynthID watermarking technology addresses growing concerns about AI-generated content. This positions NVIDIA proactively ahead of potential regulatory requirements while maintaining output quality—a critical balance for commercial adoption.
The optimization work on Gemma models shows NVIDIA's commitment to ensuring even open foundation models perform best on their hardware, extending their ecosystem advantage beyond proprietary solutions.
Joint Initiatives Span Infrastructure and Open Model Optimizations, Offer Major Strides in Robotics, Drug Discovery and More
SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- Building on their longstanding partnership, NVIDIA, Alphabet and Google today announced new initiatives to advance AI, democratize access to AI tools, speed the development of physical AI and transform industries including healthcare, manufacturing and energy.
Engineers and researchers throughout Alphabet are working closely with technical teams at NVIDIA to use AI and simulation to develop robots with grasping skills, reimagine drug discovery, optimize energy grids and more. Employing the NVIDIA Omniverse™, NVIDIA Cosmos™ and NVIDIA Isaac™ platforms, teams from Google DeepMind, Isomorphic Labs, Intrinsic and X’s moonshot Tapestry will discuss milestones from their respective collaborations at the NVIDIA GTC global AI conference.
To power research and AI production efforts for its customers, Alphabet’s Google Cloud will be among the first to adopt the NVIDIA GB300 NVL72 rack-scale solution and NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU, also announced today at GTC.
NVIDIA will be the first industry partner to adopt SynthID, a Google DeepMind AI technology that embeds digital watermarks directly into AI-generated images, audio, text or video.
“I’m proud of our ongoing and deep partnership with NVIDIA, which spans the early days of Android and our cutting-edge AI collaborations across Alphabet,” said Sundar Pichai, CEO of Google and Alphabet. “I’m really excited about the next phase of our partnership as we work together on agentic AI, robotics and bringing the benefits of AI to more people around the world.”
“Alphabet and NVIDIA have a longstanding partnership that extends from building AI infrastructure and software to advancing the use of AI in the largest industries,” said Jensen Huang, founder and CEO of NVIDIA. “It’s a great joy to see Google and NVIDIA researchers and engineers collaborate to solve incredible challenges, from drug discovery to robotics.”
Developing Responsible AI and Open Models
Google DeepMind and NVIDIA are working to build trust in generative AI through content transparency.
NVIDIA will be the first external user of Google DeepMind’s SynthID, which embeds digital watermarks directly into AI-generated images, audio, text and video. SynthID helps preserve the integrity of outputs from NVIDIA Cosmos world foundation models, available on build.nvidia.com, helping to safeguard against misinformation and misattribution — all without compromising video quality.
Google DeepMind and NVIDIA also partnered to optimize Gemma, Google’s family of lightweight, open models, to run on NVIDIA GPUs. The recent launch of Gemma 3 marks a significant leap forward for open innovation.
NVIDIA has played a key role in making Gemma even more accessible for developers. Supercharged by the NVIDIA AI platform, Gemma is available as a highly optimized NVIDIA NIM™ microservice, harnessing the power of the open-source NVIDIA TensorRT-LLM library for exceptional inference performance.
In addition, this deep engineering collaboration will extend to optimizing Gemini-based workloads on NVIDIA accelerated computing via Vertex AI.
The Age of Intelligent Robots
Intrinsic is an Alphabet company focused on making intelligently adaptive AI for robotics usable and valuable for manufacturers across industries. Today, the majority of the world’s installed industrial robots are manually programmed, with every movement hard-coded in a complex, expensive process.
Partnering with NVIDIA, the teams have built deeper and more intuitive developer workflows for Intrinsic Flowstate to support NVIDIA Isaac Manipulator foundation models for a universal robot grasping capability. Using foundation models for robotics will significantly reduce application development time and improve flexibility, with AI that can adapt effortlessly. At GTC, Intrinsic will also share an early OpenUSD framework streaming connection between Intrinsic Flowstate and NVIDIA Omniverse — enabling real-time visualization of robot workcells across platforms.
Concurrently, NVIDIA and Google DeepMind are announcing a collaboration with Disney Research to develop Newton, an open-source physics engine accelerated by the NVIDIA Warp framework that is compatible with MuJoCo. Powered by Newton, MuJoCo will accelerate robotics machine learning workloads by more than 70x compared with MuJoCo’s existing GPU-accelerated simulator, MJX.
Applying Innovation to Real-World Challenges
Isomorphic Labs, founded by Google DeepMind CEO Demis Hassabis, is reimagining drug discovery with AI. It has built a state-of-the-art drug design engine housed on Google Cloud with NVIDIA GPUs to enable the scale and performance needed to continue developing groundbreaking AI models that can help advance human health.
Tapestry, X’s moonshot for the electric grid, is building AI-powered products for a greener and more reliable future grid. Tapestry and NVIDIA are exploring methods for increasing the speed and accuracy of electric grid simulations.
This joint effort will focus on the challenges of integrating new energy sources and expanding grid capacity to meet the growing demands of data centers and AI, while helping ensure grid stability. The companies will evaluate potential solutions, including using AI to optimize the interconnection process, with the goal of enhancing the planning and modernization of energy infrastructure for a more sustainable future.
The Next Generation of AI-Optimized Infrastructure
Building on its commitment to provide customers with the most advanced AI infrastructure, Google Cloud will be one of the first companies to offer the latest instances of NVIDIA Blackwell GPUs — NVIDIA GB300 NVL72 and NVIDIA RTX PRO 6000 Blackwell Server Edition.
Built on the groundbreaking Blackwell architecture introduced a year ago, Blackwell Ultra includes the NVIDIA GB300 NVL72 rack-scale solution and the NVIDIA HGX™ B300 NVL16 system. The GB300 NVL72 delivers 1.5x more AI performance than the NVIDIA GB200 NVL72, as well as increases Blackwell’s revenue opportunity by 50x for AI factories, compared with those built with NVIDIA Hopper™. NVIDIA RTX PRO 6000 Blackwell is the ultimate universal GPU for both AI and visual computing workloads across healthcare, manufacturing, retail, live broadcast and other industries.
With last month’s preview launches of its A4 and A4X virtual machines, Google Cloud became the first cloud provider to offer both NVIDIA B200- and GB200-based instances. Now, A4 is generally available — with A4X coming soon — so customers can take advantage of Blackwell’s powerful performance with the added benefits of Google Cloud’s AI Hypercomputer.
Google Cloud and NVIDIA have worked together to optimize popular open-source frameworks like JAX, a popular Python library for machine learning, and MaxText to run efficiently on NVIDIA GPUs at scale. MaxText, an advanced framework for scaling large models across massive GPU clusters, uses optimizations codeveloped with NVIDIA to enable efficient training on tens of thousands of GPUs.
GTC attendees interested in learning more about Alphabet and NVIDIA’s work can visit the Google Cloud booth 914.
About Alphabet Inc.
Alphabet is a collection of companies, the largest of which is Google. Larry Page and Sergey Brin founded Google in September 1998 and the company is headquartered in Mountain View, Calif. Billions of people use its wide range of popular products and platforms each day, like Search, Ads, Chrome, Cloud, YouTube and Android.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.
For further information, contact:
Cliff Edwards
NVIDIA Corporation
+1-415-699-2755
cliffe@nvidia.com
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FAQ
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