Google Launches Private AI Compute to Challenge Apple's Privacy-First Cloud Computing

Google says new cloud-based "Private AI Compute" is just as secure as local processing

Google's current mission is to weave generative AI into as many products as it can, getting everyone accustomed to, and maybe even dependent on, working with confabulatory robots. That means it needs to feed the bots a lot of your data, and that's getting easier with the company's new Private AI Compute. Google claims its new secure cloud environment will power better AI experiences without sacrificing your privacy. The pitch sounds a lot like Apple's Private Cloud Compute. Google's Private AI Compute runs on "one seamless Google stack" powered by the company's custom Tensor Processing Units (TPUs). These chips have integrated secure elements, and the new system allows devices to connect directly to the protected space via an encrypted link. Google's TPUs rely on an AMD-based Trusted Execution Environment (TEE) that encrypts and isolates memory from the host. Theoretically, that means no one else -- not even Google itself -- can access your data. Google says independent analysis by NCC Group shows that Private AI Compute meets its strict privacy guidelines. According to Google, the Private AI Compute service is just as secure as using local processing on your device. However, Google's cloud has a lot more processing power than your laptop or phone, enabling the use of Google's largest and most capable Gemini models. Edge vs. Cloud As Google has added more AI features to devices like Pixel phones, it has talked up the power of its on-device neural processing units (NPUs). Pixels and a few other phones run Gemini Nano models, allowing the phone to process AI workloads securely on "the edge" without sending any of your data to the Internet. With the release of the Pixel 10, Google upgraded Gemini Nano to handle even more data with the help of researchers from DeepMind. NPUs can't do it all, though. While Gemini Nano is getting more capable, it can't compete with models that run on massive, high-wattage servers. That might be why some AI features, like the temporarily unavailable Daily Brief, don't do much on the Pixels. Magic Cue, which surfaces personal data based on screen context, is probably in a similar place. Google now says that Magic Cue will get "even more helpful" thanks to the Private AI Compute system. Google has also released a Pixel feature drop today, but there aren't many new features of note (unless you've been hankering for Wicked themes). As part of the update, Magic Cue will begin using the Private AI Compute system to generate suggestions. The more powerful model might be able to tease out more actionable details from your data. Google also notes the Recorder app will be able to summarize in more languages thanks to the secure cloud. So what Google is saying here is that more of your data is being offloaded to the cloud so that Magic Cue can generate useful suggestions, which would be a change. Since launch, we've only seen Magic Cue appear a handful of times, and it's not offering anything interesting when it does. There are still reasons to use local AI, even if the cloud system has "the same security and privacy assurances," as Google claims. An NPU offers superior latency because your data doesn't have to go anywhere, and it's more reliable, as AI features will still work without an Internet connection. Google believes this hybrid approach is the way forward for generative AI, which requires significant processing even for seemingly simple tasks. We can expect to see more AI features reaching out to Google's secure cloud soon.

Google is introducing its own version of Apple's private AI cloud compute

Google is rolling out a new cloud-based platform that lets users unlock advanced AI features on their devices while keeping data private. The feature, virtually identical to Apple's Private Cloud Compute, comes as companies reconcile users' demands for privacy with the growing computational needs of the latest AI applications. Many Google products run AI features like translation, audio summaries, and chatbot assistants, on-device, meaning data doesn't leave your phone, Chromebook, or whatever it is you're using. This isn't sustainable, Google says, as advancing AI tools need more reasoning and computational power than devices can supply. The compromise is to ship more difficult AI requests to a cloud platform, called Private AI Compute, which it describes as a "secure, fortified space" offering the same degree of security you'd expect from on-device processing. Sensitive data is available "only to you and no one else, not even Google." Google said the ability to tap into more processing power will help its AI features go from completing simple requests to giving more personal and tailored suggestions. For example, it says Pixel 10 phones will get more helpful suggestions from Magic Cue, an AI tool that contextually surfaces information from email and calendar apps, and a wider range of languages for Recorder transcriptions. "This is just the beginning," Google said.

Google just gave Pixel AI a major boost without sacrificing your privacy

The tech uses strong encryption and a secure hardware environment to ensure that your information remains private. Google is making its AI features on Pixel phones smarter and more secure with the help of a new technology called Private AI Compute. The company explains that the tech enables your phone to leverage Google's advanced Gemini AI models in the cloud, while maintaining the same level of privacy and security as on-device processing. That means while some of the AI processing now happens in the cloud, your personal data remains private and inaccessible to anyone, including Google. "Private AI Compute is like running AI on your device, but with the power of our best cloud models," the company wrote in a blog post. The system uses strong encryption and a secure hardware environment called Titanium Intelligence Enclaves to ensure that your information remains private. According to the company, Magic Cue on the Pixel 10 series will now provide more timely and accurate suggestions, thanks to the additional cloud processing power. The Pixel Recorder app can also now generate summaries of transcribed recordings in more languages, including English, Mandarin Chinese, Hindi, Italian, French, German, and Japanese, starting with Pixel 8 and newer models. In essence, Private AI Compute allows Google to run more powerful models that might be too large or demanding for a smartphone's hardware, giving users smarter AI features without sacrificing their privacy. Google says this is just the start. The company plans to bring Private AI Compute to more products and experiences in the future.

Google makes Pixel 10 Magic Cue 'more timely' with cloud-based 'Private AI Compute'

Alongside the November 2025 Feature Drop, Google announced Private AI Compute to make Magic Cue on the Pixel 10 more powerful while remaining secure. Private AI Compute is Google's new "AI processing platform" that combines the power of cloud models with on-device processing's privacy. It specifically is a "secure, fortified space for processing" sensitive user data that Google cannot access. This system takes advantage of Google's end-to-end AI stack including CPUs and Cloud TPUs. Your phone is connected to the "hardware-secured sealed cloud environment" via encryption and remote attestation. This is a joint effort from Google's Platform and Devices (the hardware team), DeepMind, and Cloud divisions. In general, Google says AI that "can anticipate your needs with tailored suggestions or handle tasks for you at just the right moment" needs "advanced reasoning and computational power that at times goes beyond what's possible with on-device processing." Google published a more detailed technical brief here. This is similar in concept to Apple Intelligence's Private Cloud Compute. Magic Cue is now using Private AI Compute for "more timely suggestions" thanks to Gemini models in the cloud, though on-device Gemini Nano is still leveraged. Magic Cue will continue to appear when you open a Google Messages conversation, on Phone by Google's calling screen, the Pixel Weather homepage when you have an upcoming event, and in the Gboard suggestions row. Additionally, Pixel Recorder is using Private AI Compute for transcription summaries in more languages. Pixel users will be able to see when Private AI Compute is called. To access, enable Developer options and go to Settings app > Security & Privacy > More security & privacy > Android System Intelligence > Network Usage log > Log network activity. Google teases how Private AI Compute "opens up a new set of possibilities for helpful AI experiences now that we can use both on-device and advanced cloud models for the most sensitive use cases."

Google launches Private AI Compute for privacy-centric AI users

Google just announced a new system called Private AI Compute, describing it as a way to run its most advanced Gemini models while keeping user data locked down. Apple already offers a similar feature, introduced in 2024, called Private Cloud Compute. In a blog post, Google said the feature is designed to balance performance and privacy. Private AI Compute would allow AI models to draw on cloud processing power without giving Google (or anyone else) access to the information being analyzed. According to Google, Private AI Compute operates within a hardware-sealed, verified environment that encrypts all data transfers between devices and its cloud infrastructure. What's the point of services like Private AI Compute? Customers who are wary of their personal conversations, personal emails, or sensitive company data being used for AI training often prefer to perform AI processes on device, which ensures privacy. That way, their data never leaves their computer or phone. However, that's not always possible, as many devices weren't built for complex AI processing. "This approach delivers the benefits of powerful cloud models with the privacy protections of on-device processing," the company said in its announcement. It builds on Google's Secure AI Framework and utilizes its custom TPUs, along with new Titanium Intelligence Enclaves, to enforce end-to-end encryption and security standards, Google said. Private AI Compute will debut in select Google products, starting with Magic Cue on the Pixel 10 and updated Recorder app features that utilize cloud models to generate smarter summaries and suggestions, while maintaining conversation privacy. The system's goal, according to Google, is to support "helpful, personal and proactive" AI experiences without requiring users to trade away sensitive information. As more of Google's AI features move beyond simple commands toward proactive assistance, Private AI Compute represents what the company calls a "next step in responsible innovation."

Google just upgraded Magic Cue on your Pixel 10 with advanced Gemini models, without compromising privacy

Its new Private AI Compute platform combines the speed and smarts of cloud models with the privacy of on-device processing. What's happened? Google today released a surprise Pixel Drop update for its Pixel lineup, bringing a bunch of new features to Pixel 6 and newer models. Alongside the new features, the company announced a new AI processing platform for the Pixel 10 series that promises the same level of privacy and security as on-device processing, even when using advanced Gemini cloud models. The new platform, called Private AI Compute, is designed to deliver the full speed and power of Gemini models in the cloud, while ensuring users' personal data stays private. It will allow on-device features to offer more advanced capabilities without compromising privacy, starting with an upgrade for the Pixel 10 series' Magic Cue feature, which can now offer "more timely suggestions." Google is also using this platform to power transcription summaries in a wider range of languages in the Pixel Recorder app. Why is this important? With the Private AI Compute platform, Google aims to reassure users that their sensitive data will remain private, even if they use AI features powered by Gemini models in the cloud. For users, this should result in a significant performance boost in supported AI features without any privacy or security trade-offs. The platform also lets Google unlock new capabilities, like more proactive suggestions from Magic Cue and expanded language support for transcription summaries in the Recorder app, without compromising user privacy. Recommended Videos Why should I care? Since cloud-based advanced Gemini models are more capable than their on-device counterparts, features powered by Private AI Compute should deliver noticeable performance gains without compromising your privacy. If you have a Pixel 10 series phone, you can expect more timely and helpful suggestions from the Magic Cue feature. You'll also get transcription summaries in more languages in the Recorder app, which currently only supports summaries for transcriptions in English, French, German, Japanese, Chinese (Mandarin), Hindi, and Italian. What's next? These Private AI Compute-powered features mark the start of a new wave of AI experiences that combine on-device and advanced cloud models for sensitive use cases. Google is expected to utilize the platform to enhance existing AI features on Pixel devices and introduce new features, allowing you to do more while keeping your data private.

Google details cloud-based Private AI Compute system for securing Pixel data - SiliconANGLE

Google details cloud-based Private AI Compute system for securing Pixel data Google LLC today detailed Private AI Compute, a cloud-based system it uses to power its Pixel handsets' artificial intelligence features. Some of the AI models used by the latest Pixel 10 smartphone series are too large to run on-device. As a result, Google hosts them in its cloud. Private AI Compute is designed to protect the user data that Pixel 10 phones send to the search giant's cloud-based AI models. The models run on servers equipped with Google's custom TPU machine learning accelerators. The company debuted its newest TPU, Ironwood, in April. It runs in clusters that contain up to 9,216 chips with 42.5 exaflops of aggregate performance. The TPUs that power Private AI Compute are installed in specialized, hardened servers. Google has disabled the machines' shell access, a capability that enables administrators to modify sensitive software components. Many cyberattacks exploit shell access to install malware. Pixel devices don't connect to TPUs directly, but rather go through intermediary servers powered by central processing units from Advanced Micro Devices Inc. Google uses a feature called SEV-SNP that AMD ships with its CPUs to reduce the risk of breaches. SEV-SNP splits a server's memory into encrypted segments that can only be accessed by the virtual machines that use them. As a result, the memory can't be decrypted by the hypervisor or operating system. That means the operator of the underlying infrastructure, in this case Google, has no way of viewing users' data. SEV-SNP also includes mitigations against side channel attacks. Those are cyberattacks that attempt to extract sensitive data by analyzing physical server properties such as fluctuations in a machine's power consumption. Pixel phones connect to Google's AMD-powered intermediary servers via encrypted connections. Before establishing a connection, the search giant verifies the servers using a technique called attestation. The method uses technical data about a system to check that it's not malicious. Google routes Private AI Compute network traffic through systems called IP blinding relays. The purpose of the systems is to hide Pixel users' IP addresses. Without an IP address, a hacker seeking to eavesdrop on a specific user has no way of distinguishing the user's traffic from other network data, which makes cyberattacks impractical to carry out. Google is using Private AI Compute to power Pixel's Recorder transcription app. According to the search giant, the system enables Recorder to provide transcription summaries in more languages than would otherwise be possible. Private AI Compute also underpins Magic Cue, a new set of Pixel features that help users find data stored in Google services.

Google's New Private AI Compute Takes Gemini Tasks to the Cloud in...

We may earn a commission when you click links to retailers and purchase goods. More info. As a behind-the-scenes part of today's Pixel Feature Drop, Google is introducing Private AI Compute. This new AI processing platform aims to take Gemini tasks that would typically happen on-device and moves them to the cloud to give them more power while keeping them private. Google has an entire blog post explaining what Private AI Compute is, but really, the idea here is that the needs for AI to become more helpful and speedy and proactive requires more computational power than your device can offer. That's where the cloud and Google's vast network of data centers can come in to play. Google believes it can trigger Gemini tasks through the cloud in private to process on-device-like tasks in a hurry and be more helpful. For now, the power of Private AI Compute will show up in Magic Cue on Pixel 10 devices, where Google hopes to show even "more timely" suggestions in the apps it integrates with. Google is also using Private AI Compute to summarize transcriptions for a wider range of languages in the Recorder app. And that's it at this time, but you can imagine they'll push more and more to the cloud over time. On a privacy note, since the word "Private" is in the name, Google says this is a "secure, fortified space for processing your data that keeps your data isolated and private to you." This all supposedly happens within a "trusted boundary" that houses your personal info, your unique insights, and how you use them under "an extra layer of security and privacy." Google is saying specifically that all of the sensitive data processing by Private AI Compute is only accessible to you and not even Google.

Google 'Private AI Compute' offers Enhanced Data Privacy in Cloud AI Processing

Google has been actively developing privacy-enhancing technologies (PETs) to improve a wide array of AI-related applications. The company has now announced its next step in this commitment with the launch of Private AI Compute in the cloud, a new AI processing platform. This platform is designed to combine the power of capable Gemini models from the cloud with security and privacy assurances typically associated with on-device processing. Google states that this initiative is part of its ongoing efforts to deliver AI with safety and responsibility at the core. As AI evolves to become more helpful, personal, and proactive -- moving beyond simple requests to anticipating needs and handling tasks -- it increasingly requires advanced reasoning and computational power. According to Google, this demand sometimes exceeds the capacity of on-device processing alone. Private AI Compute was developed to address this challenge, aiming to unlock the full speed and power of cloud-based Gemini models for AI experiences. Crucially, the company emphasizes that the platform ensures personal data remains private to the user and is not accessible to any other party, not even Google. The goal is to provide users with faster, more helpful responses, smarter suggestions, and easier actions. Google positions Private AI Compute as its next evolution in AI processing technology, building upon existing security and privacy safeguards guided by the company's Secure AI Framework, AI Principles, and Privacy Principles. The platform is described as a secure, fortified space for processing sensitive data, ensuring the data remains isolated and private to the user. This trusted boundary processes the same type of sensitive information users might expect to be handled on-device, protected by an additional layer of security and privacy on top of existing AI safeguards. Private AI Compute enables on-device features to perform with extended capabilities while maintaining their privacy assurance. The company highlights two initial applications of this technology: Google concludes that this platform "opens up a new set of possibilities for helpful AI experiences" by enabling the use of both on-device and advanced cloud models for sensitive use cases.

Google steps up AI privacy game with Private AI Compute: What it is and why it matters

Private AI Compute ensures that your personal data stays private to you and is not accessible to anyone else, not even Google. Google has announced Private AI Compute, a new platform that promises to bring powerful AI features to users without compromising their privacy. The idea is to combine the strength of Google's Gemini AI models in the cloud with the same security and privacy protections users expect from on-device processing. AI is becoming more personal and proactive, helping users not just respond to requests, but also anticipate needs, offer suggestions, and take actions automatically. However, this level of intelligence often needs more computing power than what's available on a phone or laptop. That's where Private AI Compute comes in: it lets devices connect with cloud models securely, giving faster and smarter responses while ensuring that personal data remains private. Also read: Google's November Pixel Drop is here: AI-powered notification summaries, Remix in Messages and more Google describes Private AI Compute as a "secure, fortified space for processing your data that keeps your data isolated and private to you." According to the tech giant, it ensures that your personal data stays private to you and is not accessible to anyone else, not even Google. The system uses encryption and remote attestation to ensure that data stays protected from the moment it leaves your device to when it's processed in the cloud. Google is already using Private AI Compute to improve features on its devices. For example, the Magic Cue on Pixel 10 phones will now offer more timely and relevant suggestions, and the Recorder app can summarize transcripts in more languages. Also read: Google Photos brings conversational editing to iOS, announces other new AI features "This is just the beginning. Private AI Compute opens up a new set of possibilities for helpful AI experiences now that we can use both on-device and advanced cloud models for the most sensitive use cases," Google explains. Also read: Google Pixel 10 Pro price drops by over Rs 9,500 on Amazon: Check deal details here