Nvidiaās AI Alliances with Google and Oracle
AI has become a cornerstone of global technological innovation, driving unprecedented growth and transformation across industries – leading businesses to need to increasingly integrate AI into their operations.
As a result, organisations embrace technologies like Gen AI, multimodal systems and agentic AI, the focus is shifting from experimentation to large-scale deployment.
Now, Nvidia has announced major partnerships with Alphabet, Google and Oracle alongside the companies introducing a series of initiatives at Nvidia’s GTC.
The plans are aimed at advancing AI technology, democratising access to AI tools, accelerating the development of physical AI and transforming industries including healthcare, manufacturing and energy.
These partnerships were unveiled at Nvidia's GTC global AI conference, where companies demonstrated how they are working with Nvidia's technical teams to develop assets such as robots with grasping skills, drug discovery, energy grids and more.
Google Cloud: Adopting Nvidia's new Blackwell hardware for enhanced AI computing power
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, both announced at GTC.
The GB300 NVL72, built on the Blackwell architecture introduced a year ago, delivers 1.5 times more AI performance than the Nvidia GB200 NVL72.
It also increases Blackwell's revenue opportunity by 50 times for AI factories, compared with those built with Nvidia Hopper.
Jensen Huang, Founder and Chief Executive Officer of Nvidia, says: “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.”
Meanwhile, the Nvidia RTX PRO 6000 Blackwell is designed for both AI and visual computing workloads across healthcare, manufacturing, retail, live broadcast and other industries.
Google Cloud became the first cloud provider to offer both Nvidia B200- and GB200-based instances with last month's preview launches of its A4 and A4X virtual machines.
A4 is now generally available, with A4X coming soon.
Furthermore, Google Cloud and Nvidia have worked together to optimise popular open-source frameworks like JAX, a Python library for machine learning and MaxText to run efficiently on Nvidia GPUs at scale.
MaxText, a framework for scaling large models across massive GPU clusters, uses optimisations co-developed with Nvidia to enable efficient training on tens of thousands of GPUs.
“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,” says 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.”
Google DeepMind: Content authentication and open model development
Google DeepMind and Nvidia are also working to build trust in Gen 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, helping to safeguard against misinformation and misattribution without compromising quality.
The companies have also partnered to optimise Gemma, Google's family of lightweight, open models, to run on Nvidia GPUs – marking a step forward for open innovation.
Nvidia has made Gemma available as a highly optimised Nvidia NIM microservice, using the open-source Nvidia TensorRT-LLM library for inference performance.
The engineering collaboration will extend to optimising Gemini-based workloads on Nvidia accelerated computing via Vertex AI.
“It's a great joy to see Google and Nvidia researchers and engineers collaborate to solve incredible challenges, from drug discovery to robotics,” Jensen says.
Oracle: Accelerating enterprise AI deployment
Oracle and Nvidia’s partnership is aimed at helping organisations worldwide accelerate the creation and deployment of agentic AI applications – by integrating Nvidia's accelerated computing and inference software with Oracle's AI infrastructure and generative AI services.
The partnership makes the Nvidia AI Enterprise software platform with over 160 AI tools and 100 NIM microservices natively available through the Oracle
Cloud Infrastructure (OCI) Console, allowing enterprises to rapidly deploy reasoning models with simplified billing and support.
“Oracle has become the platform of choice for both AI training and inferencing, and this partnership enhances our ability to help customers achieve greater innovation and business results,” says Safra Catz, Chief Executive Officer of Oracle.
Jensen adds: “Oracle and Nvidia are perfect partners for the age of reasoning — an AI and accelerated computing company working with a key player in processing much of the world's enterprise data.”
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