Google Cloud, part of Alphabet Inc., has unveiled a $750 million fund to accelerate partner-led deployments of agentic artificial intelligence across enterprises.
Summary
Google Cloud has launched a $750 million initiative at Cloud Next 2026 to support consulting partners in building and deploying agentic AI. The program expands access to Gemini Enterprise tools, early model testing, and AI agents. Separately, Google is advancing new AI chip designs with Marvell Technology to compete with Nvidia.
$750M fund to scale agentic AI through partners
Announced at the Cloud Next 2026 conference in Las Vegas, the initiative aims to strengthen Google’s global partner ecosystem by offering financial backing, technical tools, and embedded engineering support.
The fund will be available to consulting firms, system integrators, software vendors, and channel partners working to deploy AI solutions at scale. According to Google Cloud, it will support everything from identifying use cases and building prototypes to deploying AI agents and training enterprise teams.
“Google Cloud’s partners are already leaders in agentic AI development and deployment,” said Kevin Ichhpurani, president of the company’s global partner ecosystem. “With this expanded funding, we can dedicate new resources and technology to accelerate customer adoption.”
Expanded tools and engineering support
A key component of the initiative is deeper collaboration with major consulting firms such as Accenture, Deloitte, McKinsey & Company, Capgemini, Cognizant, HCLTech, and Tata Consultancy Services.
Google plans to embed forward-deployed engineers within partner organizations to assist with complex implementations. The program also introduces structured tools such as AI value assessments, Gemini proofs-of-concept, and deployment frameworks designed to speed up enterprise adoption.
Select partners—including Bain & Company and Boston Consulting Group—will gain early access to Gemini models, helping refine the technology before broader rollout.
The initiative further supports the expansion of Gemini Enterprise, enabling businesses to deploy secure, governance-ready AI agents. Solutions from companies like Adobe, Atlassian, Oracle, Salesforce, ServiceNow, and Workday are expected to be part of the ecosystem.
Speaking ahead of the event, Google Cloud CEO Thomas Kurian said the industry is shifting toward AI systems capable of executing tasks, not just answering questions—marking a broader move toward agent-based computing.
AI chip strategy signals deeper competition
Alongside its partner push, Google is advancing its in-house AI hardware strategy. The company is reportedly working with Marvell Technology on new chip designs, including a memory-focused processor and a next-generation tensor processing unit (TPU).
These efforts are part of Google’s strategy to compete with Nvidia’s dominant GPUs in AI workloads. The company is also expanding collaborations with semiconductor players like Intel and Broadcom to meet growing demand for AI infrastructure.
With both software and hardware investments accelerating, Google is positioning itself to play a larger role in the rapidly evolving enterprise AI landscape.
