Technology giant NVIDIA has strengthened its relationships across the AI ecosystem as part of its broader strategy to move AI from experimentation into real-world deployment.
Announced at GTC 2026, the vendor has confirmed partnerships with Salesforce, AWS, and NTT Data.
The deals aim to move NVIDIA beyond being a chip provider and repositioning itself as the foundation of AI, with numerous announcements focusing on AI factories, inference, and agent platforms.
By becoming a common layer under enterprise AI, this enables system enhancements such as autonomous customer service agents, real-time decision making, and workflow automation.
NVIDIA Repositions as the Foundation of Enterprise AI
As a major theme at GTC 2026, the technology giant is prioritizing AI inference, powering chatbots, voice bots, and agent copilots so models can respond in real time.
This included announcements such as AI factory, a new platform designed to continuously produce, run, and manage AI workloads by combining multiple layers, such as infrastructure and applications.
The provider also announced its agentic AI platforms, OpenClaw and NemoClaw were expanding to integrate enterprise-grade security so businesses can deploy agents securely, arguing that “every company now needs to develop an ‘OpenClaw Strategy’.”
NVIDIA also revealed that its AI chips are likely to reach at least $1 trillion in revenue by 2027, as AI moves further into daily operations and becomes the core operational layer across industries, demand will increase.
At GTC’s keynote speech, Jensen Huang, CEO of NVIDIA, expects AI costs to decrease significantly as systems become faster and more efficient.
“As all this happens, and we continue to update our software, computing costs go down,” he explained.
“The combination of accelerated computing technology drastically improves application speed. At the same time, we continue to maintain and update software throughout its entire lifecycle.
“You don’t just get an initial performance boost – over time, accelerated computing continues to bring down costs.”
To ensure that it is repositioned as an underlying layer in enterprise systems, NVIDIA has recently partnered with several vendors to ensure it meets its wider strategy of becoming the foundation of AI.
Salesforce Integrates NVIDIA AI to Enhance CRM-Linked Agents
Salesforce and NVIDIA have announced a partnership this week to make AI agents usable in regulated enterprise workflows.
By integrating NVIDIA Nemotron models inside its Agentforce platform, these can process large customer histories and complex workflows, optimized for efficiency and lower costs.
As a result, AI agents can fully understand customer context across long conversations and multiple interactions.
With many AI agents in industries such as financial services and healthcare operating outside real systems, this means they cannot take effective actions for enterprises.
Instilling on-premises and private cloud deployment capabilities with strict governance and AI processing boundaries enables AI adoption to occur where data privacy and compliance previously blocked automation.
By finally connecting AI agents to CRM data, enterprise workflows, and business systems, this partnership allows agents to trigger workflows, update records, and take meaningful actions across systems.
This moves chatbots that answer simple questions to agents that can resolve customer issues end-to-end.
AWS Expands NVIDIA Collaboration for Scalable AI Infrastructure
At NVIDIA GTC on Monday, the two providers announced it was expanding its collaboration to help move enterprises from AI pilots to AI in production.
To ensure this shift, AWS will deploy over 1 million NVIDIA GPU’s across its cloud regions, as well as next-generation architectures such as Blackwell and Rubin to ensure companies can access advanced AI compute power without building an infrastructure.
These include EC2 instances and high-performance infrastructure for training and running AI models, ensuring the technology is easier to scale, runs faster, and is more accessible.
By combining NVIDIA hardware and AI software with AWS’s cloud infrastructure, security, and services, this creates a complete AI stack in one environment, supporting improved networking and distributed, real-time AI interference.
For CX, this ensures faster AI responses, enhanced voice and chat automation, and supports global customer operations.
NTT DATA Builds Enterprise AI Factories with NVIDIA Technology
Last week, NTT DATA announced its decision to build enterprise AI factories with NVIDIA technology to help companies move AI from pilot to production.
By integrating NVIDIA’s AI infrastructure and software, NTT DATA then produces a ready-to-use enterprise AI environment, combining data, infrastructures, models, and workflows into a single, repeatable system for deploying AI agents at scale.
This partnership allows enterprises to access standardized, production-ready AI systems, including CX automation, at scale with built-in performance, governance, and ROI tracking.
John Fanelli, Vice President, Enterprise Software, NVIDIA, explains that enterprises now want AI systems that can move from experiments to full-scale deployment.
“Enterprises are now seeking robust, scalable platforms that can successfully transition their AI initiatives from pilot projects to full-scale production,” he said.
“NTT DATA’s AI factory offerings, built on the NVIDIA full-stack platform, provide clients with the domain-specific solutions needed to confidently achieve production-grade enterprise AI at scale.”
For CX, this platform supports agentic AI in contact centers, allowing AI agents to reason, act, and automate workflows while making real-time decisions across customer interactions.
The AI factories also include governance frameworks and standardized deployment models to ensure customer data is secure and safe with AI.
