CRN\u2019s 2025 Solution Provider 500<\/a>\u2014told CRN in an interview that growing adoption around Google\u2019s Gemini Enterprise offering is one of the biggest business drivers for his practice in recent months.<\/p>\nFor Insight, opportunities exist around unlocking Gemini Enterprise\u2019s value for customers, helping them handle employee training and change management plus establishing governance around Gemini Enterprise, FitzGibbon said.<\/p>\n
\u201cAgentic development has absolutely gone mainstream,\u201d he said. \u201cThere is no more tire-kicking going on like we had in 2024 and \u201925. The customers that are leaning into it are leaning into it hard.\u201d<\/p>\n
As for growing usage milestones around the Google AI portfolio, the vendor now sees about three-quarters of Google Cloud customers using its AI products to power their business, according to the vendor. Over the past 12 months, 330 Google Cloud customers each processed more than 1 trillion tokens. About 40 customers reached the 10-trillion-token milestone with Google\u2019s models.<\/p>\n
Google first-party models now process more than 16 billion tokens per minute through direct API use, up 60 percent quarter on quarter. In Google\u2019s first quarter, the vendor saw 40 percent growth in paid monthly active users quarter over quarter.<\/p>\n
Three-quarters of new code at Google is AI-generated and approved by engineers up from half of new code as Google disclosed last fall. And Google Meet saw more than 110 million attendees using the \u201ctake notes for me\u201d feature in the last month, up more than eightfold year over year, in other examples of growing Google product usage.<\/p>\n
Still, only about 25 percent of organizations have successfully moved AI into production at scale, according to Google, reflecting the opportunity ahead for solution providers and their customers.<\/p>\n
Here are more of the biggest reveals from Google Cloud Next 2026.<\/p>\n
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New $750 Million Partner Fund<\/p>\n
Google Cloud\u2019s new fund seeks to accelerate solution providers\u2019 ability to assess AI\u2019s potential for customers, rapidly prototype, prove AI value, build agents and integrate those agents into existing software and workflows, according to the vendor.<\/p>\n
The fund aims to support AI value identification, agentic AI prototyping, agent building, agent deployment, upskilling and teams of embedded Google forward-deployed engineers (FDEs), according to the vendor. Google systems integrator partners already offer more than 330,000 experts trained on Google AI implementation.<\/p>\n
The new partner resources include funding for AI value assessments, Gemini proofs-of-concept, Gemini Enterprise practice building, Wiz security assessments, usage incentives and other tools and resources.<\/p>\n
When it comes to FDEs, Google plans to embed these engineers alongside major consulting firms and systems integrators to support customer deployments and overcome technical challenges. CRN 2025 Solution Provider 500 members Tata Consultancy Services, HCLTech, Cognizant, Capgemini and Accenture are among the partners to receive embedded FDEs, according to Google.<\/p>\n
Google\u2019s Gemini Enterprise transformation program is giving AI-native services partners that launch dedicated Gemini Enterprise practices credits for sandbox development, technical upskilling and referral opportunities for deploying agentic AI products and services for joint customers. Some of the AI-native services partners in this program are Tryolabs, Tribe.ai, Altimetrik, Arefact, Covasant, Deepsense, Distyl.ai, Quantium and Northslope.<\/p>\n
Some Google partners are receiving early Gemini and other frontier model access to provide feedback for training the systems. These partners include Accenture, McKinsey, Boston Consulting Group, Deloitte and Bain & Co. These partners will work directly with Google DeepMind, with a focus on finance, media, entertainment, manufacturing, industrials and other sectors.<\/p>\n
\u201cBy combining our advanced research with their strategic expertise, we aim to solve complex challenges across sectors and drive global economic growth,\u201d David Thacker, vice president of product at Google DeepMind, said in a statement. \u201cTogether we\u2019ll use AI to drive meaningful impact, assisting workers in their daily tasks with AI tools that provide real-time data for better decision-making and management of complex tasks. \u201c<\/p>\n
And as part of the new investment, Google Cloud is pledging to enable partners to surface enterprise-ready agents in Gemini Enterprise that meet enterprise governance and security policies. Gemini Enterprise has agents from ServiceNow, Salesforce, Workday, Deloitte, Atlassian, Lovable, Oracle, Palo Alto Networks, Replit, Adobe and others.<\/p>\n
Alongside Rapid Enterprise Migration, Google now has a data import cloud service built into the administrator console that lets users easily move emails, files and conversations, aiding with the fivefold faster migration from Microsoft 365 to Google Workspace, according to Google. An AI-powered Office macro converter, Office file editor in Gmail and the ability to redline in Docs aim to allow Google productivity application users to better work with customers and partners using Microsoft Office applications.<\/p>\n
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The Gemini Enterprise Agent Platform<\/p>\n
Google used its Next event to reveal a series of new product innovations, including its new Gemini Enterprise Agent Platform used for building, scaling, governing and optimizing agents.<\/p>\n
The Agent Platform supports long-running agents with autonomous reasoning and is integrated with Google\u2019s data and security capabilities and leverages features from Google\u2019s Vertex AI, according to the vendor. It brings together a low-code agent studio, agent-to-agent orchestration for agents to delegate tasks to one another, agent registry for indexing internal agents across the organization, agent identity to enforce traceable and auditable authorization policies, agent gateway for real-time policy enforcement, agent observability for agent auditing dashboards and other features to bring a unified platform for making and managing agents.<\/p>\n
Other capabilities in the platform include an agent developer kit with a graph-based framework for defining agent logic, the ability to connect to any Model Context Protocol (MCP) server, runtime improvements, and a memory bank with memory profiles to provide agents persistent context and recall of specific user details and project histories, even going months back.<\/p>\n
Agent anomaly detection flags suspicious agent behavior, tools misuse, unauthorized data access and reasoning drift. Agent simulation allows for stress-testing against humanlike interactions in a controlled environment. And agent evaluation scores performance against live production traffic, according to Google.<\/p>\n
Agent Platform gives users access to Google\u2019s most advanced AI model, Gemini 3.1 Pro, plus other Google first-party models and models from Anthropic, including Claude Opus 4.7. During Next, Google also revealed support for the latest Gemini 3 models in air-gapped and connected environments, which could appeal to solution provider customers in financial services, health care and other regulated industries.<\/p>\n
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The Gemini Enterprise Application<\/p>\n
Users can deliver these agents through the Gemini Enterprise application, which has been updated with a new agent designer feature for schedule- or trigger-based agents, long-running agents for complex processes and an inbox for managing agent activity.<\/p>\n
The Gemini Enterprise app\u2019s skills feature allows for shortcuts for repetitive tasks. And canvas allows users to create and edit files without switching apps, according to Google.<\/p>\n
The app\u2019s agent gallery allows for access to third-party agents from ServiceNow, Atlassian, Lovable and others. Projects gives users space where an agent\u2019s memory is confined to files and conversations added by team members, with the ability to connect to Google Drive, NotebookLM and other sources.<\/p>\n
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TPUs, Infrastructure For Unlocking Agentic AI<\/p>\n
In infrastructure, Google revealed its eighth-generation tensor processing unit. TPU 8t is meant for accelerating training while TPU 8i is designed for cost-effective inference with near-zero latency, according to the vendor. TPU 8t scales up to 9,600 TPUs and 2 petabytes of shared, high-bandwidth memory in a single superpod, according to Google. The 8t should achieve three times the processing power of Ironwood and deliver up to twice the performance per watt.<\/p>\n
The 8i can directly connect 1,152 TPUs in a single pod and has three times the on-chip static random-access memory compared with previous versions, according to Google. TPU 8i should deliver 80 percent better performance per dollar for inference than the prior generation, which can translate into millions of concurrent agents running cost effectively.<\/p>\n
And Google\u2019s network-optimized compute portfolio is expanding with new C4N and M4N machine series. These machines are meant for high-volume agent communication, network-heavy telecommunications 5G core and enterprise databases. C4N instances should have the ability to deliver almost four times the network bandwidth per virtual CPU compared with standard C4 instances.<\/p>\n
Improvements in Managed Lustre should allow users 10 TBps of throughput. Rapid storage has been upgraded from 6 TBps to 15. And smart storage now applies semantic meaning to unstructured data to help with AI use cases.<\/p>\n
In networking, Google\u2019s AI-optimized Virgo can connect Nvidia Vera Rubin NVL72 systems or TPU 8t superpods into supercomputers with hundreds of thousands of accelerators, according to Google. Virgo Network and TPU 8t can connect 134,000 TPUs into a single fabric in a single data center and connect more than 1 million TPUs across multiple data center sites into a training cluster. Virgo Network for A5X supports up to 80,000 GPUs in a single data center and up to 960,000 GPUs across multiple sites.<\/p>\n
And Google has expanded its compute services frameworks and inference engines to natively support Pytorch for TPUs. This TorchTPU capability is in preview with select customers.<\/p>\n
Google Kubernetes Engine now has the ability to deliver faster cold starts and scale-out for AI inference workloads. GKE can also deploy 300 sandboxes per second per cluster with sub-second time to first instruction, according to Google.<\/p>\n
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Agentic Data Cloud, Workspace Intelligence<\/p>\n
Google\u2019s Agentic Data Cloud now has an AI-native architecture for unlocking data use for agentic AI, the vendor revealed during Next 2026.<\/p>\n
The cloud\u2019s knowledge catalog is meant to ground agents in trusted business context across data estates. Users can leverage smart storage and object context API for instant tagging and metadata enriching before agents touch files.<\/p>\n
A data agent kit, in preview, enables Gemini-powered data science authoring across integrated development environments, notebooks, agentic terminals and other environments. The data engineering and data science agents are generally available while a database observability agent is in preview.<\/p>\n
And the deep research autonomous agent now connects to BigQuery and other data platforms for better visibility on structured and unstructured data. That agent is in preview.<\/p>\n
Google\u2019s cross-cloud, AI-native lakehouse aims to simplify data access for autonomous actions, according to the vendor. The cross-cloud lakehouse is standardized on Apache Iceberg and allows users to leave data in Amazon Web Services while instantly querying it. Microsoft Azure interoperability is coming later this year, according to Google. The lakehouse also enables zero-copy access to Databricks, Salesforce, ServiceNow, Snowflake and other third-party apps, operating systems and platforms.<\/p>\n
Agentic Defense combines Google Threat Intelligence and Security Operations with the cloud and AI security platform of Wiz, which Google bought<\/a> in March for $32 billion, for threat detection, prevention and response.<\/p>\nNew agents are now available with Wiz\u2019s AI Application Protection Platform for threat detection, detection engineering, remediation and other actions.<\/p>\n
And Google\u2019s Agentic Taskforce now has Workspace Intelligence for streamlining productivity through a unified context layer across Workspace apps, among other new capabilities, according to the vendor.<\/p>\n
Workspace Intelligence includes AI inbox and AI overviews in Gmail and an ability to ask Gemini to synthesize information in Google Chat. This also adds an ability to synthesize information from Google Drive, Gmail and the internet for Docs drafts, interactive dashboards in Sheets, presentation decks in Slides and other actions, according to Google. Users who need to meet regulatory requirements can also lock data processing and storage to the U.S. and European Union. Google expects to support more countries in the future.<\/p>\n
Google Drive Projects gives users a space for managing workflows and generating content based on files and emails, moving Drive from storage tool to collaborator, according to the vendor.<\/p>\n
And Google Vids has updated its avatars to allow for branding elements like company logos on shirts and branded backdrops. Users can soon add avatars when they convert presentations to videos, and the number of available languages should soon reach 24. Vids now has more than 7 million monthly active users, according to Google.<\/p>\n
Google Workspace has an MCP Server preview for select users to bring Workspace capabilities into AI applications and agents, allowing for Drive document synthesizing and Gmail draft responses, for example. An official Workspace command-line interface is coming soon for managing and interacting with these capabilities directly from agents, according to the vendor.<\/p>\n","protected":false},"excerpt":{"rendered":"\u2018Agentic development has absolutely gone mainstream. There is no more tire-kicking going on like we had in 2024…\n","protected":false},"author":2,"featured_media":12506,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[413,24,405,408,406,407,399,25,9956,410,9958,402,8916,403,773,9957,416,2193,313,9955,411,9954,9959,223,132,1429,412,415,400,401,419,417,418,4956,1777,404,414,409,4872],"class_list":{"0":"post-12505","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-google","8":"tag-accelerator-chips","9":"tag-ai","10":"tag-ai-agents","11":"tag-ai-applications","12":"tag-ai-hardware","13":"tag-ai-infrastructure","14":"tag-application-and-platform-security","15":"tag-artificial-intelligence","16":"tag-backup-data","17":"tag-business-intelligence-and-analytics","18":"tag-cloud-channel-programs","19":"tag-cloud-platforms","20":"tag-cloud-security","21":"tag-cloud-software","22":"tag-cloud-storage","23":"tag-collaboration-communication","24":"tag-copilot","25":"tag-cpus","26":"tag-cybersecurity","27":"tag-data-protection","28":"tag-database-and-system-software","29":"tag-endpoint-security","30":"tag-enterprise-networking","31":"tag-generative-ai","32":"tag-google","33":"tag-google-ai","34":"tag-gpus","35":"tag-llm","36":"tag-managed-security","37":"tag-managed-service-providers","38":"tag-microsoft-365","39":"tag-microsoft-solutions","40":"tag-modern-work","41":"tag-network-infrastructure","42":"tag-network-security","43":"tag-saas","44":"tag-security-operations","45":"tag-servers","46":"tag-telecom"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/12505","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=12505"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/12505\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/12506"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=12505"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=12505"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=12505"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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