Google\u2019s Gemini Enterprise<\/a> is a workplace AI platform and agentic AI system that unifies data, custom AI agents and Google\u2019s advanced AI models. It enables users with generative AI and agentic workflows by leveraging data sources from across an organization with prebuilt connectors for popular third-party applications included.<\/p>\nPromevo is a Google Cloud Premier partner that\u2019s a top provider of Gemini Enterprise solutions.<\/p>\n
Promevo CTO John Pettit said clients are buying Gemini Enterprise at a rapid pace since it makes \u201cit possible for customers to build no-code agents\u201d as well as having third-party connectors.<\/p>\n
\u201cIt also creates a secure landing zone for employees to use AI against their corporate data, which is not something that you see through all the other commercial offerings without building up a lot of security scaffolding or other things like that to keep the data protected,\u201d Pettit said.<\/p>\n
\u201cSo it creates an interesting opportunity for people to roll it out to all of their employees and still feel safe,\u201d he said. \u201cSo if I\u2019m a CIO or a CSO, I\u2019m not worried about data leakage or data loss. Where with the other systems, if I start connecting it into my Google Drive, I have to worry about, \u2018Where is that data going? Is it still staying secure? Is it grounded correctly?\u2019 So they\u2019ve created a unique solution with Gemini Enterprise.\u201d<\/p>\n
Promevo, for its part, recently launched a new suite of Gemini Enterprise offerings around operationalized AI agents and Google Cloud AI services.<\/p>\n
\u201cRight now, Gemini Enterprise has around 6 million registered users. So there\u2019s just a large population of people that you can expose your application to and find new ways to monetize,\u201d said Pettit.<\/p>\n
Here\u2019s what Google\u2019s CEO said about Gemini Enterprise, TPUs, AI momentum, and much more.<\/p>\n
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90 Percent Of Fortune 100 Using Gemini Enterprise<\/p>\n
One of the strongest parts of our growth comes from the rapid adoption of our Gemini Enterprise platform.<\/p>\n
It\u2019s great to see the wide adoption of Gemini Enterprise, with nearly 90 percent of the Fortune 100 using it.<\/p>\n
We have customers like PepsiCo for AI and analytics solutions, Intel to streamline core processes, HSBC for wealth management, Bell Canada for customer engagement, Macy\u2019s for commerce experiences, and Signal Iduna for knowledge management.<\/p>\n
It is differentiated with easy-to-use tools to build agents and automate processes, connectivity to enterprise systems, cost management, and governance tools.<\/p>\n
More broadly, Gemini is transforming how millions of businesses use AI to build custom agents, automate processes, improve cybersecurity, manage customer relationships, streamline data analytics, collaborate effectively and more.<\/p>\n
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Google\u2019s Allocating TPUs Strategy<\/p>\n
In terms of allocating TPUs, our first priority is making sure we are allocating what we need to compete at the frontier in terms of AGI [artificial general intelligence] development.<\/p>\n
So that is the foundation for everything we do.<\/p>\n
But given the extraordinary demand to balance the external demand, even for most cloud customers, we are using both TPUs and GPUs mainly for serving our models.<\/p>\n
So think Vertex AI, Gemini Enterprise, agentic workloads, analytics and cybersecurity, etc. So we are using it for those purposes.<\/p>\n
To the extent people want it as infrastructure, we are balancing it by increasingly looking at opportunities to put TPUs in their data centers, or in other data centers, like the project we are doing with Blackstone.<\/p>\n
So we are using that as an ability to balance and make sure we are allocating as much of the available compute for frontier model development, as well as serving both our consumer business and our enterprise business in terms of first\u2011party models.<\/p>\n
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Google Cloud New Customers; \u2018More Than Doubling Our Acquisition Velocity\u2019 With Cloud Marketplace Growing 7X<\/p>\n
Cloud revenue grew 82 percent, powered by strong demand for AI infrastructure and AI solutions, and cloud backlog grew to $514 billion.<\/p>\n
Gemini continues to be a key driver of growth, and is deeply integrated across all of our Cloud products, including Gemini Enterprise, Data Analytics, Cybersecurity, and Google Workspace.<\/p>\n
We are seeing strong, diversified demand across products, customers, geographies, and industries.<\/p>\n
Our product differentiation is driving expansion in three ways.<\/p>\n
We\u2019re winning new customers, more than doubling our acquisition velocity year-over-year.<\/p>\n
We\u2019re deepening our relationships with existing customers, who are expanding their usage and exceeding their commitments by more than 50 percent, also an acceleration over last quarter.<\/p>\n
We are driving growth with partners, with transactions on Google Cloud Marketplace growing over seven times year-over-year.<\/p>\n
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Google Is Currently Training Gemini 4<\/p>\n
In terms of the frontier [models], we are both very committed and very confident of being at the frontier. For the next generation of frontier, you\u2019re going to need much larger base models.<\/p>\n
We are now training Gemini 4, and we\u2019re being very ambitious with it.<\/p>\n
I am very excited by the progress I\u2019m seeing internally on Gemini 4, and I\u2019m confident that people will be pleased when we are putting it outside.<\/p>\n
But we will need Gemini 4 as a larger base model to compete at that frontier model, and so we are focused on executing on that path.<\/p>\n
We are really focused, putting a lot of effort into Gemini 4. It\u2019s a very ambitious effort.<\/p>\n
We want to compete at the frontier level of where the frontier will be when Gemini 4 comes out. So we are applying a lot of our compute and effort in that direction.<\/p>\n
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Gemma Models \u2018Downloaded Over 900 Million Times\u2019<\/p>\n
Our Gemma family of open models, small enough to run on local devices, are hugely popular.<\/p>\n
These models have been downloaded over 900 million times.<\/p>\n
And our latest Gemma 4 models have been downloaded over 300 million times since launching in April.<\/p>\n
Our agentic development platform Antigravity allows anyone to build in the agent\u2011first era. It has more than 2.4 million weekly active users.<\/p>\n
Antigravity is a powerful tool for users and enterprises, and it\u2019s completely accelerated how we build internally. As just one example, a team in Chrome is now on track to accelerate delivery by eight times, compressing a two\u2011year timeline into three months through model\u2011driven refactoring.<\/p>\n
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Google Cloud Security And Wiz Momentum<\/p>\n
We are seeing strong interest in our AI-powered security platform, which is differentiated because it integrates threat intelligence, cyber-response prioritization with Wiz, AI-automated scanning, code remediation, and monitoring.<\/p>\n
Today, 90 percent of the Fortune 100 are Google Cloud Security users.<\/p>\n
Nearly 90 percent of Wiz customers are using AI-powered security features.<\/p>\n
And we have seen a more than 45 percent quarter-over-quarter increase in the number of AI workloads scanned and protected by our security platform.<\/p>\n
Our security tools are being used to protect critical infrastructure, including financial services organizations such as Morgan Stanley; telecommunication providers such as Telus; healthcare organizations such as Texas Children\u2019s; software companies such as Atlassian; and several government agencies.<\/p>\n
And with our new Google AI Threat Defense, we\u2019re really excited to bring our new cyber model and CodeMender to help our customers defend against AI threats.<\/p>\n","protected":false},"excerpt":{"rendered":"CEO Sundar Pichai explains Google\u2019s TPU allocation strategy, huge Gemini Enterprise momentum, upcoming Gemini 4 release and much…\n","protected":false},"author":2,"featured_media":122005,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[24,405,408,406,407,25,402,403,223,132,1429],"class_list":["post-122004","post","type-post","status-publish","format-standard","has-post-thumbnail","category-google","tag-ai","tag-ai-agents","tag-ai-applications","tag-ai-hardware","tag-ai-infrastructure","tag-artificial-intelligence","tag-cloud-platforms","tag-cloud-software","tag-generative-ai","tag-google","tag-google-ai"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/122004","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=122004"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/122004\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/122005"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=122004"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=122004"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=122004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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