GPU giant and AI leader NVIDIA just concluded its GTC 2025 conference, during which it made a flurry of announcements to drive business growth and innovation.
Joined by many IT leaders and organizations across the ecosystem, NVIDIA’s conference brought them together to break down how AI and accelerated computing can help solve complex business challenges.
The announcements include new developments in different types of AI, such as agentic and generative, as well as quantum and infrastructure developments.
Launch of open reasoning AI models for developers and enterprises
NVIDIA announced the launch of the open Llama Nemotron family of models with reasoning capabilities, designed to provide developers and enterprises with a business-ready foundation for developing advanced AI agents to work independently or as connected teams to solve complex tasks.
The NVIDIA Llama Nemotron reasoning family delivers on-demand AI reasoning capabilities. The new reasoning model family is enhanced during post-training to improve multistep math, coding, reasoning, and complex decision-making.
“Reasoning and agentic AI adoption is incredible,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA’s open reasoning models, software, and tools give developers and enterprises everywhere the building blocks to create an accelerated agentic AI workforce.”
Accenture, Amdocs, Atlassian, Box, Cadence, CrowdStrike, Deloitte, IQVIA, Microsoft, SAP, and ServiceNow are all collaborating with NVIDIA on its new reasoning models and software.
NVIDIA, Alphabet, and Google to collaborate on future of agentic and physical AI
Two other IT giants– Alphabet and Google– will join NVIDIA to develop new initiatives to advance AI, democratize access to AI tools, speed the development of physical AI, and transform industries such as healthcare, manufacturing, and energy.
“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.”
To deepen the companies’ longstanding partnership, Alphabet engineers and researchers are working with NVIDIA technical teams to use AI and simulation in various activities, including developing robots with grasping skills, reconceptualizing drug discovery, and optimizing energy grids.
Further, to power AI research and production, Alphabet’s Google Cloud will be among the first to adopt the NVIDIA GB300 NVL72 rack-scale solution and the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU– which was also announced during GTC 2025.
Additionally, NVIDIA will be the first external user of Google DeepMind’s SynthID, a solution that embeds digital watermarks directly into AI-generated images, audio, text, and video. SynthID aims to preserve output integrity from NVIDIA Cosmos world foundation models to help safeguard against misinformation and misattribution without compromising video quality.
“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 Huang. “It’s a great joy to see Google and NVIDIA researchers and engineers collaborate to solve incredible challenges, from drug discovery to robotics.”
NVIDIA building Accelerated Quantum Computing Research Center
A Boston-based research center for advancing quantum computing will be built by NVIDIA and begin operations later this year.
The NVIDIA Accelerated Quantum Computing Research Center (NVAQC) will integrate quantum hardware with AI supercomputers to enable accelerated quantum supercomputing. The center is meant to address challenges such as qubit noise and transforming experimental quantum processors into practical devices.
“The NVIDIA Accelerated Quantum Research Center will provide EQuS group researchers with unprecedented access to the technologies and expertise needed to solve the challenges of useful quantum computing,” said William Oliver, professor of electrical engineering and computer science and physics, leader of the EQuS group and director for the MIT Center for Quantum Engineering at MIT. “Integrating the NVIDIA accelerated computing platform with qubits will help tackle core challenges like quantum error correction, hybrid application development, and quantum device characterization.”
NVIDIA and storage leaders unveil new class of enterprise infrastructure
NVIDIA announced the NVIDIA AI Data Platform, a customizable reference design used by providers to build a new class of AI infrastructure for demanding AI inference workloads.
This new class of AI infrastructure consists of enterprise storage platforms with AI query agents fueled by NVIDIA-accelerated computing, networking, and software.
With the NVIDIA AI Data Platform, NVIDIA-certified storage providers can build infrastructure to speed AI reasoning workloads with specialized AI query agents. Those agents can then help businesses generate insights from data in near real-time using NVIDIA AI Enterprise software, such as NVIDIA NIM microservices for the new NVIDIA Llama Nemotron models and NVIDIA AI-Q Blueprint.
“Data is the raw material powering industries in the age of AI,” said Huang. “With the world’s storage leaders, we’re building a new class of enterprise infrastructure that companies need to deploy and scale agentic AI across hybrid data centers.”
Data platform and storage providers to collaborate with NVIDIA to create customized AI data platforms to harness enterprise data to reason and respond to complex queries include organizations such as DDN, Dell Technologies, Hewlett Packard Enterprise, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data, and WEKA.
Starting this month, NVIDIA-certified storage providers plan to offer solutions created with the NVIDIA AI Data platform.
Oracle and NVIDIA collaborating on agentic AI inference
NVIDIA and Oracle also announced a first-of-its-kind integration between NVIDIA accelerated computing and inference software with Oracle’s AI infrastructure and GenAI services.
The integration will help organizations globally speed up the creation of agentic AI applications. Oracle Cloud Infrastructure (OCI) and the NVIDIA AI Enterprise software platform will develop 160+ AI tools and 100+ NVIDIA NIM microservices, which will be natively available through the OCI Console.
The two organizations will also collaborate on the no-code deployment of Oracle and NVIDIA AI Blueprints and on accelerating AI vector search in Oracle Database 23ai with the NVIDIA cuVS library.
“Oracle has become the platform of choice for both AI training and inference, and this partnership enhances our ability to help customers achieve greater innovation and business results,” said Safra Catz, CEO of Oracle. “NVIDIA’s offerings, paired with OCI’s flexibility, scalability, performance, and security, will speed AI adoption and help customers get more value from their data.”
With its native availability through the OCI Console, NVIDIA AI Enterprise will enable customers to access AI tools quickly and efficiently. It will also be available as a deployment image for OCI bare-metal instances and Kubernetes clusters using the OCI Kubernetes Engine. OCI Console customers will also benefit from direct billing and customer support through Oracle.
In 2025, NVIDIA has driven substantial AI growth through partnership agreements, including one with global tech giant Cisco. Read more about how this expanded partnership will provide AI solutions to accelerate adoption.