Our live coverage of Google Cloud Next 25 has now ended!
We were live at the Mandalay Bay resort in Las Vegas for a conference packed with Google's latest cloud and AI news.
If you missed any of the action, don't fear - you can still catch up with everything we saw below...
Refresh
Good morning from sunny Las Vegas! We're here for Google Cloud Next, and after a slighted delayed arrival into the city last night, are busy getting ready for the event kicking off tomorrow.
If you'd like a reminder of everything announced at last year's event, you can revisit our live blog here.
Before the conference kicks off tomorrow, we've been invited for a VIP press conference at an undisclosed location in Las Vegas...
Will we be allowed to report on it? What will it be about? Is this just a big AI prank? Stay tuned...
Well, that was interesting - we were whisked off to the famous Las Vegas Sphere, for a look at how Google Cloud worked to help prepare the movie classic The Wizard of Oz for the venue, launching on August 28.
It's fair to say it will be a spectacular show, with the original movie expanded, using AI content generation, to spread across the 16K LED screen at the Sphere.
The event was introduced by Alphabet and Google CEO Sundar Pichai, who welcomed us to the show, and outlined the scale of the technology being used.
(Image credit: Future / Mike Moore)
Make no mistake - seeing a 75-year-old film, originally filmed in a rectangular format, expanded and spread across the screen, is pretty spectacular...
(Image credit: Future / Mike Moore)
The event then wrapped up with a discussion between Google Cloud CEO Thomas Kurian and Jim Dolan, CEO of Sphere Entertainment Co, covering how the partnership came about, and their hopes for AI in the future.
(Image credit: Future / Mike Moore)
Kurian then took to the stage solo to welcome us to Google Cloud Next 25.
That should be that for today - but tune in tomorrow for the first official day of the conference, with press Q&As and keynotes to come!
(Image credit: Future / Mike Moore)
Good morning and welcome to the first day of Google Cloud Next!
After last night's magical Sphere experience, we're not sure how Google could possibly top that - but if anyone can, they can - and we are in Vegas after all...
We're off for breakfast and caffeine, before the keynote starts at 9am PST.
We're en route to the keynote now - as you might expect, it's pretty busy...
(Image credit: Future / Mike Moore)
We're in and seated! As per Vegas conference rules, we're being blasted with upbeat techno - accompanied with strange and fantastic animated scenes generated by Google's Veo2 model...
(Image credit: Future / Mike Moore)
Brass instruments floating over the Las Vegas strip and the Grand Canyon? It's amazing what AI can do...
(Image credit: Future / Mike Moore)
Here we go - the lights go down and it's time for an intro video, again showing some...interesting visuals generated by Veo 2.
(Image credit: Future / Mike Moore)
Google Cloud CEO Thomas Kurian takes to the stage.
"The future is being built by all of us," he notes, saying Google Cloud has shipped over 3,000 improvements and updates in the past year alone.
"Google's AI momentum is exciting," he adds, outlining huge adavnces in adoption of Gemini, Imagen, Veo and the company's other AI tools.
(Image credit: Future / Mike Moore)
Our first special guest - Sundar Pichai, CEO of parent company Alphabet.
He talks us through the Sphere/Wizard of Oz collaboration we saw last night, as an example of what technology can do to show what is possible.
"With Google Cloud, we see AI as the most important way we can help advance your mission - the opportunity with AI is as big as it gets," he notes.
(Image credit: Future / Mike Moore)
Pichai adds that Alphabet is ramping up investment in AI infrastructure - and reveals the first news of the day - Google is making its Cloud Wide Area Network open to businesses across the globe.
That's not all - Pichai unveils Ironwood, the company's next-generation TPU.
The seventh-gen hardware will help power the next generation of AI computing, allowing for more analysis and inference like never before.
(Image credit: Future / Mike Moore)
Moving quickly on - Pichai outlines the success of Gemini 2.5 Pro, which he says is streaking ahead of the competition.
He shows off a couple of examples of why Gemini 2.5 is a "significant leap" over its rivals, including simualting a Rubiks cube - but also a massive simulation of the Earth's magentic field, showing off the huge potential of the model.
Pichai reveals Gemini 2.5 Pro is now available for everyone in AI Studio, Vertex AI, and the Gemini app.
There's also the release of Gemini 2.5 Flash, offering even more access to the platform.
Pichai notes Gemini is helping power a wide range of tools, such as NotebookLM, used by over a million businesses.
(Image credit: Future / Mike Moore)
There's also a mention for Veo 2, which is being used by advertising and marketing agencies across the world, Pichai says.
We're then treated to a video showing how McDonald's is using Google's AI tools, using real-time data to improve performance and boost the overall restaurant experience - tasty stuff.
Kurian returns to the stage, highlighting why customers want to work with Google Cloud.
The company's AI-optimized platform is a major selling point, he adds, with the ability to build new agents that offer more help than ever before.
(Image credit: Future / Mike Moore)
We welcome Amin Vahdat, VP and GM, ML, Systems and Cloud AI, to the stage, to talk about hardware.
He's joined on stage by an actual Ironwood TPU, noting how it can deal with even the most demanding AI workloads.
Ironwood supports up to 42.5 Exaflops, well beyond even the biggest supercomputers around today.
(Image credit: Future / Mike Moore)
This will be backed up by Nvidia GB200 Blackwell chip-powered hardware - and Google will also offer Vera Rubin GPUS on Google Cloud.
There's also a new cloud and rapid storage options for greater throughput and latency.
Vahdat also runs through a host of new software announcements, including boosts for GKE Inference Gateway, Pathways on Google Cloud, and vLLM to TPU, giving easy TPU inference on a familiar library.
"We're truly seeing tremendous momentum," Vahdat notes, with Google helping power AI unicorns across the globe, as well as major customer usage across a wide variety of industries.
Google Distributed Cloud also gets an upgrade, with new Gemini tools allowing Google Distributed Cloud to run locally in air-gapped and connected envrionments.
A quick video from Nvidia CEO Jensen Huang is up next, highlighting the partnership between the two.
"No company is better at every sungle layer of computing than Google and Google Cloud," he notes.
(Image credit: Future / Mike Moore)
Vahdat moves on to Google Workspace, which is getting a major boost from Gemini, which is now included in all subscriptions.
A new "Help me analyze" tool is coming to Google Sheets, along with "Audio overviews in Docs", and Google Workspace Flows, to help automate work with agents in the loop.
Imagen 3 is next up, now offering greater image generation than ever, along with voice-generation tool Chirp 3.
Vahdat announced Lyria is now available on Google Cloud, which can create music and other audio from just 10 second of input.
Veo 2 is also much more powerful than ever, offering first and last shot control, more camera angles, extra inpainting and outpainting tools, and much more.
All together, Vahdat says Google is, "the only company that offers generated media models across all modalities".
(Image credit: Future / Mike Moore)
After that bombardment of information, it's time for a demo of just what Vertex AI can do.
To create a teaser video for the Google Cloud Next 25 closing party, Veo 2 is used to create hyper-realistic video input, including different angles, approaches and even audience members.
(Image credit: Future / Mike Moore)
Kurian returns, and it's time to talk about Vertex AI.
AI models are being used in the physical world too, he notes, highlighting work done in robotics by Samsung and DeepMind.
Vertex allows users to discover, customize and deploy the best models for your business, he notes, introducing a customer example from Intuit, who used AI to help even the most complex tax filings a breeze.
Tens of thousands of companies are using Vertex to find the best models, Kurian notes - with use cases from patient healthcare to energy management.
(Image credit: Future / Mike Moore)
Agents are never far away, with the tools now able to be easily built on Vertex, connecting to a number of top third-party partners.
Next up, Kurian wants to talk more about agents.
The company is already working with the likes of Salesforce, whose CEO Marc Benioff tells us via video how its Agentforce platform is a key ally for Google Cloud.
(Image credit: Future / Mike Moore)
Google Cloud will now let users build and manage multi-agent systems, Kurian reveals.
The company's new Agentspace platform will let users scale adoption and accelerate deployment, wth a new Agent Development Kit simplifying the building of multi-agent systems - powered by Gemini, of course.
There's also a new Agent2Agent protocol to let agents talk to each other, regardless of what model they were built on.
We're now seeing how Agentspace works in action, with a demo showing off how agents can be used to automate everyday tasks.
Agentspace is now integrated into the Chrome browser, Kurian reveals, meaning you can search company data directly within your browser.
(Image credit: Future / Mike Moore)
We're going even more in=depth on agents now, taking a look at several key areas where the technology in making a difference.
From customer agents built with Vertex AI Search used by Reddit Answers, to medical apps finding patient histories, to retail companies delivering personalized recommendations, the potential seems massive.
(Image credit: Future / Mike Moore)
Next are some new offerings to improve Agents via Customer Engagement Suite, including streaming video support, new voices, and AI assistance to build agents.
We then see a demo of these new tools in action, helping get a customer the items they need to complete a garden, providing custom recommendations via live video in real time.
(Image credit: Future / Mike Moore)
Industry agents are also a key use case, no matter how specific.
Wendys, Mercedes-Benz and The Home Depot are among the companies using Google Cloud technology to make their agents more helpful and intuitive.
Creative Agents are another key area, augmenting creative teams to allow content production at scale, or reimagining existing content.
We're once again looking at the Wizard of Oz Sphere experience, which used Google AI, including Veo 2, to turn the 1939 film into a fully-immsersive entertainment experience in super-fast time.
(Image credit: Future / Mike Moore)
Agencies across the world are using Google's models to help create ads, improve localization, and reduce production times across the board.
Google seems very keen to ensure that models are working alongside human workers to be creative, rather than completely replace...
Data agents are also set to be a major boost for customers, taking lots of the heavy lifting and time-intensive tasks away from busy workers.
The likes of Mattel are working with Google Cloud to bring together customer feedback to improve data collection, collecting sentiment in real time to identify trends quicker than ever.
Google's BigQuery platform offers more reach than any competitor, the company says, bringing together structured and unstructured data to build the most useful agents for your business.
(Image credit: Future / Mike Moore)
Next up, we're looking at Code Agents - as Gemini can be a highly effective partner using its Code Assist tools.
An enterprise-focused version is already proving a major success, helping companies around the globe.
Today new agents are being launched for Google Code Assist, including greater insights on the task being worked on, and more interactivity options.
Now, we're moving on to security, with Sandra Joyce, VP of Threat Intelligence.
She's straight in to Security Agents, with new critical cyberdefenses on offer for users now thanks to Google Threat Intelligence, Google Security Operations, Cloud Security Command Center, and Mandiant services.
New Malware Analysis and Alert Triage security agents are being announced today, giving customers even more tools to spot threats before they do serious damage.
(Image credit: Future / Mike Moore)
A big one - Google Unified Security is a new converged security solution bringing together all of the company's tools and features.
We're treated to a demo of the new platform - named GUS for short - can track all of a company's workflows, combined with the latest threat intelligence, to triage the incident, create an automated response and shut down affected systems - all in a much shorter time than previously possible.
(Image credit: Future / Mike Moore)
GUS looks set to revolutionize how companies ensure they stay protected, offering real-time advice and recommendations defined to even the smallest threats...
(Image credit: Future / Mike Moore)
We're nearly at the end, and Kurian returns to the stage to wrap things up.
"We're delivering an amazing stream of new innovations, and making it easy to integrate those innovations into your existing technology landscapes," he concludes.
"What an amazing time for all of us to experience and work with these technology advances."
"We are honoured to be building this new way to cloud, with all of you."
(Image credit: Future / Mike Moore)
And that's a wrap! We're off to digest all of the mountain of new announcements made in that keynote, so stay tuned to TechRadar Pro for write-ups of the biggest announcements coming soon.
We've got our heads around some of the news from this morning, so if you missed it - here's some of the biggest announcements...
The company has unveiled Google Unified Security, a new unified security platform designed to take the stress out of keeping your business safe from the latest threats.
Google Unified Security, affectionately known as GUS, promises a major step forward in threat detection and mitigation, and is outfitted with the company's latest Threat Intelligence, AI tools and services to keep users safe.
Part of the new Google Unified Security platform, the company revealed two new AI security agents.
First is an Alert Triage agent in Google Security Operations which is able to carry out dynamic investigations on behalf of users, reducing the workload of analysts who otherwise are triaging and investigating hundreds of alerts per day.
The other new addition is a Malware Analysis agent, part of Google Threat Intelligence, which can investigate whether code is safe or harmful. It will also have the ability to create and execute scripts for deobfuscation, before summarizing its work and offering up a final verdict.
Ironwood is the company's 7th-generation Tensor Processing Unit (TPU).
At its top-end Ironwood can scale up to 9,216 chips per pod, for a total of 42.5 exaflops - more than 24x the compute power of El Capitan, the world's current largest supercomputer.
Each individual chip offers peak compute of 4,614 TFLOPs, what the company says is a huge leap forward in capacity and capability.
We also heard from Alphabet and Google CEO Sundar Pichai at the keynote, who reaffirmed the company's plans to spend big on infrastructure and technology going forward.
And that's a wrap on our live coverage from day one of Google Cloud Next 25 - it's been a busy day, so we're off to rest and recuperate, before heading back tomorrow!
Be sure to join us then, as we'll have plenty more exciting content and news from the show...
Good morning and welcome to day two of Google Cloud Next 25!
Yesterday was packed full of news and announcements, and we're expecting more of the same today.
First up, we have a media Q&A with Thomas Kurian and others, before the developer keynote later today, so stay tuned for all the news from those events and more!
First up today, we have a roundtable with some pretty big names, including Google Cloud CEO Thomas Kurian, alongside Tara Brady, President, Google Cloud EMEA, and Eduardo Lopez, Vice President, Google Cloud LATAM.
(Image credit: Future / Mike Moore)
The panel is here, and we have some introductory comments from Kurian on what's been the most important announcements from the show for him.
He notes how Google Cloud has now expanded to 42 countries across the globe, and runs us through the biggest news from yesterday.
(Image credit: Future / Mike Moore)
"Our success is reflected not by what we do, but what our customers do with our technology," Kurian notes, shouting out some customer success stories from the EMEA and LATAM regions.
"We are very well-positioned."
Brady notes the growth has been "phenomenal" in EMEA over the past year.
The first question is about how Google Cloud deals with complex geo-political situations, and if this affects its business outlook.
Kurian notes governments around the world want more control over sovereign technology, and allows controls to me laid over the top of what Google Cloud makes available.
He adds its Sovereign AI systems are controlled in a local environment, managed by a national foundation - and that the company works hard on localizing its products for different countries.
Asked about the EMEA region, Brady remarks that security is a crucial consideration, along with flexibility - and of course AI, and the competitive advantage this offers.
Next is a question about how companies like Google Cloud can cope with the energy demands caused by AI expansion.
Kurian says the company has done a lot of work on reducing the energy usage on its systems - with the costs and demands dropping fast.
"You'll see us continue to optimize the cost of serving models, while improving quality," he notes.
A pretty staggering stat from Kurian - Google Cloud has seven times the amount of water-cooling systems than the entire rest of the world, combined.
Wind, nuclear, hydro-electric and solar are all set to play a key role in the future, he adds.
"For us, it's really important people see AI as a key technology in driving the consumption of clean energy," he says.
Unsurprisingly, a question about the US tariffs is next - how will Google Cloud look to deal with the possible effects?
Kurian replies with a smile that the tariff disucssion is "an extremely dynamic one", and that the company has been through many cycles like this - most recently in the Covid crisis - and he's confident the company will be able to navigate this period too.
Kurian is asked about UAI tools - he replies the entire approach is about simplifying technology for users everywhere.
Bringing AI is the next step - "it is simplifying technology itself," he notes.
"You have the same technology that runs Google, available to every small business...by simplifying the technology, you bring it to everybody."
Next is a question about Agentspace, and how it will affect companies which already have a presence with other ecosystems.
Kurian notes Agentspace came from the company's own observations that workers were spending so much time just looking for information.
The next question is about building new data centers - how does Google Cloud decide where its next projects will be?
Kurian says it is a massively complex decision - but key criteria includes customer demand, availability of power (especially renewable), and space.
"You'll see us continue to expand our global footprint," he says.
Another question on tariffs - and if this will lead to national clouds in the future, especially if the US (or other countries) suddenly decide to cut off access?
Kurian notes customers can already benefit from localization functions, with data kept seperate even from Google itself. The company also offers services for those customers worried about privacy or access to data, and offers sovereign partnerships with European organizations, which can supervise on top of Google's operations.
"The proof is in how many customers are choosing to run (Google Cloud)".
The final question is about Google's proposed acquisition of Wiz - is it really worth that much?
"Wiz solved a problem that was really important for customers", Kurian notes, noting Wiz had been a long-term partner for some time.
And that's a wrap on the Q&A - we're off to get some coffee, but we'll be back for the developer keynote later today.
We're back, and headed to the day two keynotes - this one is for the developers, so expect a deeper dive into some of the major announcements we saw yesterday - and possibly some extra surprises, too...
We're nearly there - but going to be another packed turn-out, it looks like...
(Image credit: Future / Mike Moore)
We're in and seated - and it's time to kick off!
(Image credit: Future / Mike Moore)
The lights go down, and Brad Calder, VP & GM, Google Cloud, takes to the stage.
"This is what we've been waiting for," he says, outlining's Google Cloud's advancements in three main areas.
Its new Agent Development Kit, Agent Engine and Agentspace all get an early shout-out.
"Together, these allow you to create agents where AI and humans can work together to reach a common goal."
(Image credit: Future / Mike Moore)
All of this, of course - is powered by Gemini.
Calder welcomes Richard Seroter, Chief Evangelist, Google Cloud, and Stephanie Wong, Head of Developer Skills & Community, Google Cloud, to the stage to take a closer look.
From getting started, to scaling, to a sneak peek at the future, we're about to take a look at a lot of demos...
Our first demo looks at how you can build AI-enabled apps with Gemini in AI Studio.
Namely, how Gemini can help our friendly demo team remodel their kitchen - including huge amounts of detail, creating a custom prompt despite being large amounts of unstructured data.
(Image credit: Future / Mike Moore)
As the model thinks, we're given a run-through of exactly what is going on behind the scenes - including the in-depth "Thinking" box.
(Image credit: Future / Mike Moore)
The end result is a beautifully-designed new kitchen idea, which can then be customized even further, and take in the latest Google search data for real-time details on information such as building material costs.
(Image credit: Future / Mike Moore)
Gemini's long-context windows are getting a shout-out, giving users much more ability and flexibility to create incredibly detailed prompts, and outputs.
Gemini models in AI Studio offer not just advanced multimodal reasoning, but also mixed modalities for inputs and outputs.
(Image credit: Future / Mike Moore)
Next, we're moving on to how agents can help businesses themselves.
Agents can go from the smallest to the largest tasks, offering unique capabilities when it comes to customization.
(Image credit: Future / Mike Moore)
Our next demo is of Agent Development Kit - we're going to see just how easy it is to build an agent.
To build an agent, we need three things - an instruction, the tools, and the model.
(Image credit: Future / Mike Moore)
The demo shows how easy it is to connect to different models, using natural language instructions to carry out its task.
(Image credit: Future / Mike Moore)
With all that done, a final document is created in seconds - a huge time-saver for users everywhere.
Next up, we're looking at how developers are building with Vertex AI Agent Engine, now generally available.
This allows users to run fully managed enterprise-grade agents, along with advanced security.
We're then on to Google Agentspace, the new management platform for agents, allowing quick creation, editing and deployment of agents, along with third-party connectors - and then we're on to building multi agent sytems in Vertex AI.
(Image credit: Future / Mike Moore)
We're being shown a demo of how easy it is to build even complex, multi-source systems in ADK.
Users can also deploy directly from ADK to Vertex AI Studio, with deployment taking just a few minutes.
The demo then shows how straightforward debugging a troublesome agent can be - with just a few steps to get the tool up and running again.
A new cloud investigations tool can help determine where the errors in your code or infrastructure might be, before showing the users in an easy-to-understand sheet, including suggested fixes.
(Image credit: Future / Mike Moore)
Next, we're moving on to how Gemini can be useful in IDEs and tools for developers.
We're taking a look at how different IDEs can benefit from Gemini to create code powered by AI.
(Image credit: Future / Mike Moore)
The company is allowing devs to use Gemini wherever they create code, and we're then taken to a look at how different models for different use cases can be accessed.
Vertex's AI Model Garden shows off all the latest and greatest offerings out there, allowing users the chance to try out different options to see what the final result looks like.
(Image credit: Future / Mike Moore)
Now, we're taking a look at a customer use case, between Google Cloud and Major League Baseball.
The companies have worked on a huge data-sharing project, and we're introduced to the winner of a Google hackathon to design the next greatest MLB tool.
Our winner used Gemini and Google Cloudto design a video analysis tool, without the need for high-speed cameras, to look at pitcher performance over time.
(Image credit: Future / Mike Moore)
We're now moving towards what's next for Google Cloud...first up, the next generation (already) of data agents.
Turning raw data into a data app is soon going to be as easy as a few prompts, with BigQuery bringing together various data sources for quick and easy analysis.
(Image credit: Future / Mike Moore)
Our next shift is to look at the future of software development through agents.
We're shown a demo of how agents powered by Gemini Code Assist can help build the next generation of apps - moving beyond editors to a new way to develop software, with agents.
(Image credit: Future / Mike Moore)
Code Assist is getting way more customization options and capabilities, giving developers all kinds of ways to tailor apps exactly how they want them.
And that's a wrap on the day two keynote - and for Google Cloud Next 25 as a whole.
Stay tuned for more of our wrap-up coverage, but thanks for joining us over the last few days, and thanks for reading TechRadar Pro!
