Russia-Linked ‘GreyVibe’ Attackers Use AI to Supercharge Cyberattacks

Attackers use AI to increase velocity, scale and sophistication. Just as AI is improving, so will attackers’ use of it. GreyVibe is one to watch.

GreyVibe, a previously undocumented threat actor, is described by WithSecure as a Russia-nexus group. The researchers are confident in their attribution of GreyVibe to Russian-speaking operators in the Moscow time zone, but are less certain whether the group is cybercriminal, nation-state – or a mix of the two.

The primary focus of the group, targeting Ukrainian military, government, civilian, and business entities since August 2025, aligns closely with Russian state interests. At the same time, the researchers have detected numerous indications that at least some GreyVibe members may be socially less than optimum elite state operators – including, for example, their use of Internet slang-based naming conventions across early-stage development artefacts, such as ‘letsrollboyos’, ‘totallyunsus’, and ‘cuteuwu’.

Another clue that may suggest GreyVibe is not a pure state actor comes from its intensive use of AI across every phase of its operations, “from building fake websites and crafting lures to developing custom malware and generating post-compromise tooling,” say the researchers. Their report adds resource development including obfuscation and loader scripts, and post-compromise scripts. This itself means nothing, since all bad actors are using AI to add velocity and scale to their attacks.

However, while the researchers detected the use of top tier AI including Ideogram AI, ChatGPT, and Google Gemini, GreyVibe introduced design flaws into its LLM-generated LegionRelay Windows malware. Mistakes are not something normally attributed to elite actors. This mistake enabled WithSecure researchers to monitor and track GreyVibe activity over an extended period since mid-2025.

Such mistakes are not expected from elite attackers, and this may be why Mohammad Kazem Hassan Nejad, senior threat intelligence researcher at WithSecure adds, “What sets GREYVIBE apart is not raw technical skill, but operational ambition powered by AI. The group uses generative AI to punch above its weight – accelerating development, filling capability gaps, and generating a largely fresh operational profile that complicates tracking and attribution. It’s a preview of how lower-sophistication actors will increasingly operate.” 

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The initial lures and approaches from GreyVibe are varied and heavily supported by AI. Spear-phishing emails (at least six distinct campaigns, but with no mention of deepfakes) directed victims to ZIP or RAR archives on third-party file-sharing services such as Google Drive and 4sync. These would launch a decoy file to take the user’s attention while simultaneously initiating a PhantomRelay (Windows malware) infection chain in the background. 

A separate campaign, which the researchers call PrincessClub, used fake adult-club websites to deliver Fallspy (Android malware) and PhantomRelay or LegionRelay on Windows. Victims were further lured to the lure by fake female personas using Telegram or dating sites to direct them.

This extensive use of AI not only compensates for capability gaps within GreyVibe but also reduces ‘historical backlinks to prior activity’. In short, we cannot be certain the group hasn’t previously been tracked under a different name by other researchers – but WithSecure has found no evidence of this. 

What it has detected, however, is the use of a unique ISO builder potentially linked to the TrickBot ecosystem and UAC-0098 (an activity cluster likely involving former TrickBot members previously also observed targeting Ukraine).

GreyVibe is still active, and its members are still unknown. Going forward, its AI expertise is likely to increase. “Given this extensive use, we expect the group’s tradecraft to continue evolving and diversifying, likely increasing the complexity of continuous detection, tracking, and attribution,” says WithSecure. 

Whether this might tempt the group to spread its activity beyond the current focus on Ukraine remains to be seen. If it really is closely aligned to Russian state activities, this is more than possible given the current state of global geopolitics.

Related: UK Cyberspying Chief Calls AI ‘an Unstoppable Force’ and Warns About Russia

Related: Admins of Bulletproof Hosting Service Used by Russian Hackers Arrested in Netherlands

Related: Germany Suspects Russia Is Behind Signal Phishing That Targeted Top Officials

Related: Sweden Blames Pro-Russian Group for Cyberattack Last Year on Its Energy Infrastructure

https://www.securityweek.com/russia-linked-greyvibe-attackers-use-ai-to-supercharge-cyberattacks/




Geordie Raises $30 Million for AI Security and Governance Platform

AI security and governance startup Geordie today announced raising $30 million in a Series A funding round that brings the total raised by the company to $36.5 million.

Founded in early 2025, London-based Geordie has built a platform that helps organizations secure and govern AI agents deployed across their environments, at scale.

As organizations are increasingly relying on AI agents to automate operations at scale, they also require visibility, governance, and operational control to deploy them safely.

According to the startup, its solution provides organizations with a real-time understanding of every agent, its access and behavior, and the risk it may pose to the enterprise environment.

Geordie also offers a runtime remediation suite called Beam, which leverages context engineering and works together with the purpose-built security and governance platform to enable organizations to deploy AI agents at scale and constantly shape and constrain their behavior.

Learn More at the AI Risk Summit | Ritz-Carlton, Half Moon Bay

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The new investment round was led by Balderton Capital, with additional support from Crosspoint Capital and previous investors General Catalyst and Ten Eleven Ventures.

The startup will use the fresh investment to enhance its platform’s capabilities and to hire new talent across its engineering and go-to-market teams. It also plans to expand its operations to the US.

Related: RevEng.AI Raises $15 Million to Hunt for Flaws and Backdoors in Software Binaries

Related: Lastwall Raises $11.5 Million for Quantum-Resilient Identity Platform

Related: Ocean Emerges From Stealth With $28M for Agentic Email Security Platform

Related: Socket Raises $60 Million at $1 Billion Valuation

https://www.securityweek.com/geordie-raises-30-million-for-ai-security-and-governance-platform/




Data center guzzled 30 million gallons of water and nobody noticed for months

In a letter to Congress last month, more than 120 organizations advocating against rushed data center developments warned lawmakers that it’s not enough to focus legislation on addressing spiking electricity bills.

“Water use is equally alarming,” among other harms, groups said.

“In drought-prone regions,” groups explained, data centers consuming up to 5 million gallons a day strain “drinking water supplies, agriculture, and ecosystems.” Meanwhile, closed-loop systems “require the use of toxic chemicals that, if not properly disposed of, can eventually flow and pollute water ways.”

To avoid disastrous consequences for the country’s water supply, groups recommended that Congress pass laws requiring comprehensive environmental reviews prior to construction. They also want Congress to commit to rejecting “any legislation that would fast-track permitting and development for hyperscale, artificial intelligence, and other conventional data centers” through the end of this legislative session.

Some efforts to protect water resources have had limited success, as backlash over secretive deals allowing data center developments without public notice increases.

In Utah, one hyperscale data center in Box Elder County withdrew an application to transfer 1,900 acre-feet of water from a ranch to their facility. About 4,000 residents paid about $15 each to file notices of opposition to block that request, the Salt Lake Tribune reported. But although that battle was won, residents expect the larger fight to be far from over.

As the war against data centers rages on beyond Utah, the Salt Lake Tribune editorial board published an op-ed, warning that officials risk eroding trust the more they shrug off residents’ reasonable concerns about things like water supplies, electric bills, air quality, and quality of life.

“Even if the data center isn’t as dreadful as feared—or if it never is actually built—the stench attached to the rushed and secret political process will take a very long time to dissipate,” the editorial board wrote. “If it ever does.”

https://arstechnica.com/tech-policy/2026/05/data-center-used-30-million-gallons-of-water-without-initially-paying/




Course correction: Google to link more sources in AI Overviews

Hovering over links in AI answers will soon show preview pop-ups.

Credit: Google

Hovering over links in AI answers will soon show preview pop-ups. Credit: Google

While most of the newly announced AI features will roll out soon, Google is still seeking partners to support one of them. Google is seeking publishers that are interested in testing a new form of subscription integration. The company says your favorite websites should appear more prominently in AI search, so it’s trying to make that happen in AI Overviews and AI Mode. This feature will use an API to link a reader’s subscription on a website with their Google account. Google says that early testing showed users were much more likely to click through when their subscribed websites appeared as links in AI answers. Interested publishers are invited to fill out a form to get more information.

Live by the web, die by the web

Google does not accept the conventional wisdom that AI search is reducing website traffic. However, various analyses have suggested that the chatbot is stopping users from leaving Google’s platform. That might be fine for Google right now, but Gemini only works as a search product if it has a vast sea of online data to summarize. As websites increasingly feel the squeeze of lower traffic (and advertising revenue), there may be less of that content available.

Google also has to be aware that the growing AI backlash goes beyond existential threats to the web—it’s also an immediate legal liability. Publishers, artists, and authors have filed lawsuits against the company alleging that Gemini is illegally using their content. Penske Media has alleged that searches with AI Overviews can reduce clicks by as much as 90 percent. Meanwhile, Google is under increased scrutiny in Europe now that the Digital Markets Act is in full effect, which could force it to create an AI Overviews opt-out for websites.

These changes may represent a bit of a course correction for Google after AI tools created too many zero-click searches. It’s unclear if just adding more external links to AI answers will get the job done, though.

https://arstechnica.com/google/2026/05/google-will-put-more-links-to-websites-in-ai-overviews/




Chrome’s 4GB AI model isn’t new, but you’re not wrong for being confused

A curious omission

Google users were more willing to excuse AI in 2024, but the backlash is real in 2026. People are increasingly looking to avoid AI features, which makes this 4GB stealth download all the more questionable. Google’s obsession with AI has led to numerous stumbles, even when the company has ostensibly good intentions, because we are all (rightly!) hyper-focused on how this technology is impacting our lives.

Some of those “good intentions” seem to have made the Chrome situation worse. As users sought ways to remove this AI model, many looked for the settings toggle. This happened to coincide with the wide release of Chrome 148, and the label for this toggle included a pretty suspicious change versus v147.

Chrome AI toggles

Google claims this change was made to be clear about how Chrome’s APIs work.

Credit: Ryan Whitwam

Google claims this change was made to be clear about how Chrome’s APIs work. Credit: Ryan Whitwam

Google removed the stipulation that its on-device AI model would not send data to Google’s servers. This is alarming, as one of the primary benefits of local AI is its greater privacy. We reached out to Google to ask if this wording is due to a change in Chrome’s on-device AI.

“This doesn’t reflect a change to how we handle on-device AI for Chrome,” a Google spokesperson said. “The data that is passed to the model is processed solely on device.”

According to Google, the team decided to make this change earlier in 2026 to ensure it was being crystal clear about how AI works on the web. Chrome’s local AI has an API that a site might use, for example, to do summarization or edit your writing. In these instances, the website would naturally see the input and output. If it’s a Google website, that data ends up on Google’s servers. If it’s a non-Google site, Google doesn’t see any of that data.

That explanation may or may not be satisfying as the backlash against AI grows. Regardless, using the web is never completely private. If you’re uncertain about using AI tools on a site, you should always try to parse its privacy policy, which will tell you how your data (AI-generated or not) will be used. As long as Google is deploying AI as an opt-out service, you’ll have to be extra vigilant.

As the saying goes, it’s easier to ask for forgiveness than permission, but Google ought to be asking for permission a little more often.

https://arstechnica.com/google/2026/05/no-google-hasnt-changed-chromes-local-ai-features-its-just-as-confusing-as-ever/




AI Firm Braintrust Prompts API Key Rotation After Data Breach

AI evaluation and observability platform Braintrust urged customers this week to rotate API keys that may have been compromised after hackers accessed an AWS account.

The incident, the company says, was discovered on May 4, after receiving a report of suspicious behavior, and was communicated to customers via email on May 5. The message also included indicators of compromise (IOCs) and remediation steps.

Immediately after learning of the incident, Braintrust locked down the compromised account, audited related systems and restricted access to them, rotated internal secrets, and launched an investigation into the matter.

The internal AWS account used by its systems, Braintrust says, likely provided the attackers with access to API keys that organizations use to access AI models.

“As a precaution, we recommend that all customers rotate any org-level AI provider keys used with Braintrust,” the company said in an incident notice.

According to the company, at least one customer has been affected by the incident, with three other customers reporting suspicious spikes in AI provider usage.

“We have not identified broader customer exposure based on our investigation to date, but as a precaution we informed all org admins with stored AI provider secrets in Braintrust. The investigation is ongoing,” the company says.

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Braintrust recommends that customers access their org-level settings page, delete or revoke the existing secrets, configure new secrets, and confirm that they were rotated by checking their timestamps.

The org-level AI provider API keys potentially exposed in the incident were likely stored for AI-forward companies such as Box, Cloudflare, Dropbox, Notion, Ramp, Stripe, and others, Nudge Security CTO Jaime Blasco told SecurityWeek.

“The blast radius isn’t Braintrust, it’s every downstream customer’s AI stack, and a single SaaS compromise fans out across dozens of LLM provider accounts. This is the new shape of supply chain risk: every AI eval, observability, and gateway tool a company adopts becomes a credential warehouse, and those warehouses are now a tier-one target,” Blasco said.

Related: Edtech Firm Instructure Discloses Data Breach Amid Hacker Leak Threats

Related: Vimeo Confirms User and Customer Data Breach

Related: Luxury Cosmetics Giant Rituals Discloses Data Breach

Related: Medtronic Hack Confirmed After ShinyHunters Threatens Data Leak

https://www.securityweek.com/ai-firm-braintrust-prompts-api-key-rotation-after-data-breach/




Report: Samsung execs worried company could lose money on smartphones for the first time

chart of memory and storage component prices

Manufacturing smartphones is getting much more expensive.

Credit: Counterpoint Research

Manufacturing smartphones is getting much more expensive. Credit: Counterpoint Research

The good news for Samsung is that while the MX division struggles, its semiconductor division is raking it in. Samsung Semiconductor has smashed records in the first quarter of 2026, earning an estimated $38 billion (KRW 57.2 trillion) in profit. That’s more than seven times its net from Q1 2025.

Samsung, Micron, and SK Hynix are all accelerating plans to expand memory and storage production lines—Samsung specifically has started spinning down LPDDR4 production to boost the supply of LPDDR5—but Nekkei Asia projects that won’t be enough. Even with best-case improvements in output, DRAM production in 2027 could fall 40 percent short of expected demand. The only thing that could challenge that prediction is a substantial change in demand for AI applications. With most of the world’s tech giants firmly committed to expanding AI compute through next year, it’s unlikely that supply constraints will ease soon.

Higher demand, higher prices

There are already signs that RAM and storage costs are making phones more expensive. Motorola recently raised the price of its Moto G budget phones by up to 50 percent. Low-cost devices like the Moto G will feel the rising cost of components the most, making the very idea of a budget phone in the coming years suspect.

With the prospect of sinking profitability in 2026, Samsung is also making changes. The recently released Galaxy A37 and A57 mid-range devices come with a $50 price hike over the last generation. The company has also increased prices on some more expensive devices, adding $80 to the Galaxy Z Flip 7 (512 GB) and Z Fold 7 (512 GB and 1 TB). Some of its tablets are also more spendy, including a $100 increase for the Galaxy Tab S11.

With profitability in doubt, Samsung is on the verge of releasing new, ultra-expensive phones. This summer, the company will debut a new generation of Galaxy Z foldables, which are always priced even higher than the Galaxy S series. These devices come with ample storage and RAM to help justify the exorbitant price tags. That makes them prime candidates for price hikes that leave foldables even more unrealistically expensive.

https://arstechnica.com/gadgets/2026/04/samsung-may-be-bracing-for-first-ever-annual-loss-in-smartphone-business/




This Startup Wants to Fix the Slog of Adtech Vendor Selection With a AI-Supported Matchmaking

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The future of brands gets decided here. Join the industry’s top marketers at Brandweek for the ideas, insights, and connections shaping what’s next. Get your ticket.

A new platform could help marketing leaders more easily compare the capabilities of potential partners, demo tools, and select the right vendors for their needs. The tech, called CartographAI, uses a combination of AI and human-led research data to rate adtech and martech vendors according to a wide range of criteria.

“Enterprise buyers of marketing and advertising technology are making decisions worth tens of millions of dollars a year, and the only intelligence available to them comes from the vendors selling them something, the analysts those vendors pay to rate them, or consultants with undisclosed financial relationships. Buyers need neutral ground and it doesn’t exist,” said Jay Friedman, the company’s cofounder and the former CEO of indie agency Goodway Group.

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auto;--zf-container-border:none;--zf-container-borderRadius:calc(var(--zephr-input-borderRadius) * 1px);--zf-container-color:var(--zephr-color-text-main);--zf-container-bgColor:var(--zephr-color-background-main, transparent);--zf-info-fontSize:14px;--zf-subtext-fontSize:12px;--zf-link-color:#6ba5e9;--zf-input-fontSize:var(--zf-root-fontSize);--zf-input-bgColor:var(--zephr-color-background-main, transparent);--zf-button-fontSize:calc(var(--zephr-button-fontSize, 16) * 1px);--zf-button-color:#fff;--zf-password-valid-color:#7bcb7f;--zf-password-invalid-color:#c4c4c4;--zf-payment-options-fontSize:var(--zf-subtext-fontSize);--zf-payment-options-color:var(--zephr-color-text-main);--zf-payment-options-bgColor:var(--zf-container-bgColor);--zf-payment-options-border:calc(var(--zephr-input-borderWidth) * 1px) solid var(--zephr-input-borderColor);--zf-payment-options-borderRadius:calc(var(--zephr-input-borderRadius) * 1px);--zf-payment-options-highlighted-color:var(--zephr-color-text-main);--zf-payment-options-highlighted-bgColor:var(--zephr-color-accent-main);--zf-payment-summary-fontSize:var(--zf-subtext-fontSize);--zf-payment-summary-color:var(--zephr-color-text-main);--zf-payment-summary-bgColor:var(--zf-input-bgColor);--zf-payment-summary-border:calc(var(--zephr-input-borderWidth) * 1px) solid var(--zephr-input-borderColor);--zf-payment-summary-borderRadius:calc(var(--zephr-input-borderRadius) * 1px);--zf-list-subscriptions-container-maxWidth:630px;--zf-list-subscriptions-container-padding:24px;--zf-list-subscriptions-section-padding:16px 0px;--zf-list-subscriptions-container-border:calc(var(--zephr-input-borderWidth) * 1px) solid var(--zephr-input-borderColor);--zf-list-subscriptions-container-borderRadius:calc(var(--zephr-input-borderRadius) * 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!important; border: 2px solid #e5e5e5 !important; max-width: 600px !important; margin: 0 auto !important; } .zephr-form-login-link { margin: 0!important; } .zephr-form-checkmark { border-radius: 0px !important; border: 2px solid #e5e5e5 !important; } /* === FORM LAYOUT === */ .zephr-form-content { display: flex !important; flex-direction: column !important; gap: 1rem !important; margin: 0!important; background-color: var(--bs-body-bg) !important; } .zephr-form form { background-color: var(--bs-body-bg) !important; } /* === INPUT STYLING === */ .zephr-form-input, .zephr-form input[type="email"], .zephr-form input[type="text"], .zephr-form input[type="password"], .zephr-form input[type="number"], .zephr-form input[type="tel"], .zephr-form input[type="url"], .zephr-form textarea { border-radius: 0 !important; border: 1px solid #ddd !important; font-size: 16px !important; padding: 12px 16px !important; width: 100% !important; background-color: #fff !important; box-shadow: none !important; } /* === INPUT FOCUS === */ .zephr-form input:focus, .zephr-form textarea:focus { outline: none !important; border-color: #000 !important; box-shadow: none !important; } /* === LABEL STYLING === */ .zephr-form-input-label span { font-size: 14px !important; font-weight: 600 !important; color: #111 !important; margin-bottom: 0.25rem !important; display: inline-block !important; } .zephr-form-custom-text { color: var(--bs-body-color) !important; } /* === BUTTON STYLING === */ .zephr-form-button, .zephr-form button[type="submit"] { background-color: #111 !important; color: #fff !important; font-weight: 700 !important; font-size: 16px !important; text-transform: uppercase !important; border-radius: 12px !important; padding: 14px !important; width: 100% !important; border: none !important; cursor: pointer !important; } .zephr-form-button:disabled { background-color: #ccc !important; cursor: not-allowed !important; } .zephr-form-button:hover:not(:disabled) { background-color: #000 !important; } /* === PROMO TOGGLE LINK === */ .zephr-form-promo-activate-line { background: none !important; border: none !important; padding: 0 !important; font-size: 14px !important; font-weight: 500 !important; color: #000 !important; text-align: left !important; margin-top: 8px !important; cursor: pointer !important; } /* === SUMMARY SECTION === */ .zephr-form-summary, .zephr-payment-form-summary { background-color: #f9f9fb !important; border: none !important; padding: 0 0 1rem 0 !important; margin: 0 0 1rem 0 !important; border-radius: 0 !important; } .zephr-form-summary-line-title { font-size: 20px !important; font-weight: 700 !important; color: #111 !important; } .zephr-form-summary-line-price { font-size: 18px !important; font-weight: 600 !important; color: #111 !important; } /* === SMALL SCREEN PADDING TWEAKS === */ @media (max-width: 576px) { .zephr-form-max-width, .zephr-payment-form-max-width { padding: 24px !important; border-radius: 16px !important; } } /* === MAIN FLEX CONTAINER === */ .payment-options-container { display: flex !important; flex-direction: row !important; justify-content: stretch !important; align-items: stretch !important; flex-wrap: nowrap !important; gap: 0 !important; padding: 0 !important; margin: 0 auto 32px !important; border-radius: 31px !important; border: 2px solid #e5e5e5 !important; overflow: hidden !important; max-width: 960px !important; background: var(--bs-body-bg); } /* === WRAPPER: ENSURE NO MARGIN/BORDER/GAP === */ .payment-option-wrapper { flex: 1 1 0% !important; display: flex !important; flex-direction: column !important; margin: 0 !important; padding: 0 !important; border: none !important; min-width: 0 !important; } /* === REMOVE ANY INTER-BORDER SPACING === */ .payment-option-wrapper:not(:last-of-type) { border-right: 1px solid #e5e5e5 !important; } /* === CLEANUP CONTAINER === */ .box-container { display: flex !important; flex-direction: column !important; width: 100% !important; height: 100% !important; margin: 0 !important; padding: 0 !important; border: none !important; background: transparent !important; box-shadow: none !important; } /* === INNER BOX, NO GAPS OR MARGINS === */ .inner-box { display: flex !important; flex-direction: column !important; justify-content: space-between !important; height: 100% !important; padding: 32px 24px !important; margin: 0 !important; border: none !important; border-radius: 0 !important; background-color: var(bs-secondary-bg) !important; } /* === ROUND ONLY FIRST AND LAST === */ .payment-option-wrapper:first-of-type .inner-box { border-top-left-radius: 20px !important; border-bottom-left-radius: 20px !important; } .payment-option-wrapper:last-of-type .inner-box { border-top-right-radius: 20px !important; border-bottom-right-radius: 20px !important; } /* === PRICE === */ .inner-box h1 { font-size: 36px !important; font-weight: 700 !important; text-align: center !important; margin: 0 0 8px !important; } /* === PLAN NAME === */ .inner-box h3 { font-size: 16px !important; font-weight: 700 !important; text-transform: uppercase !important; text-align: center !important; margin: 0 0 12px !important; } /* === DESCRIPTION === */ .inner-box p { font-size: 14px !important; font-style: italic !important; color: #444 !important; text-align: center !important; margin: 0 0 24px !important; } /* === BUTTONS === */ .zephr-form-button { margin-top: auto !important; padding: 14px 0 !important; font-size: 14px !important; font-weight: bold !important; text-transform: uppercase !important; border: none !important; border-radius: 8px !important; width: 100% !important; background-color: #000 !important; color: #fff !important; cursor: pointer !important; } /* === RED CTA ON MIDDLE BOX === */ .box-container.highlighted .zephr-form-button { background-color: #f53c60 !important; } .zephr-form-button:hover:not(:disabled) { background-color: #f53c60 !important; } zephr-form-button:hover:disabled { background-color: #f53c60 !important; } /* === SAVE BADGE === */ .box-top-text { position: absolute !important; top: 15px !important; right: 15px !important; background-color: #ffff4c !important; transform: rotate(20deg); color: #000 !important; font-size: 12px !important; font-weight: bold !important; border-radius: 50% !important; padding: 19px 18px !important; text-align: center !important; line-height: 1.2 !important; width: 84px !important; height: 84px !important; box-shadow: 0 2px 6px rgba(0, 0, 0, 0.2) !important; z-index: 10 !important; } /* === CLEANUP EMPTY .box-top === */ .box-top { height: 0 !important; margin: 0 !important; padding: 0 !important; background: none !important; border: none !important; display: contents !important } .box-container { position: relative !important; } @media (max-width: 768px) { .payment-options-container { flex-direction: column !important; border-radius: 12px !important; overflow: hidden !important; } .payment-option-wrapper { border-right: none !important; border-bottom: 1px solid #e5e5e5 !important; } .payment-option-wrapper:first-of-type .inner-box { border-top-left-radius: 20px !important; border-top-right-radius: 20px !important; } .payment-option-wrapper:last-of-type { border-bottom: none !important; } .payment-option-wrapper:last-of-type .inner-box { border-bottom-left-radius: 20px !important; border-bottom-right-radius: 20px !important; } /* Remove left/right radius that only makes sense in horizontal layout */ .payment-option-wrapper .inner-box { border-radius: 0 !important; } } .zephr-form.svelte-jjl1p8, .zephr-form { color: var(--bs-body-color) !important; }

https://www.adweek.com/media/cartographai-helps-vendor-selection/




Google unveils two new TPUs designed for the “agentic era”

So the new chips allow for faster training, but Google also says you get more useful computation for every volt you pump into a TPU 8t. The company claims a “goodpute” rate of 97 percent, which means less waiting and wasted effort. With better handling of irregular memory access, automatic handling of hardware faults, and real-time telemetry across all connected chips, TPU 8t spends more time actively advancing model training.

When training is done, AI models run in inference mode to generate tokens—that’s the process happening behind the scenes when you tell a model to do something. This doesn’t require as much horsepower, so using the same hardware for both parts of the AI lifecycle is inefficient. That’s why inference is the purview of TPU 8i, which is designed to be more efficient when running multiple specialized agents, with less waiting time. TPU 8i chips also run in larger pods of 1,152 chips versus just 256 for the last-gen Ironwood inference clusters. That works out to 11.6 EFlops per pod, much lower than TPU 8t pods.

TPU 8i chip

The TPU 8i has less raw power than TPU 8t.

Credit: Google

The TPU 8i has less raw power than TPU 8t. Credit: Google

Google has tripled the amount of on-chip SRAM for each TPU 8i to 384 MB. This allows the company’s new chips to keep a larger key value cache on the chip, speeding up models with longer context windows. The eighth-gen AI accelerators are also the first from Google to rely solely on Google’s custom Axion ARM CPU host, featuring one CPU for every two TPUs. In Ironwood, each x86 CPU serviced four TPU chips. Google says this “full-stack” ARM-based approach allows for much greater efficiency.

An efficiency play

It makes sense that efficiency is a core part of Google’s new TPU setup. Training and running frontier AI models is expensive, and the return on investment is unclear. Companies are still burning money on generative AI in the hopes that efficiency will turn the corner at some point. Maybe Google’s new TPUs will help get there and maybe not, but the company has made notable improvements.

https://arstechnica.com/ai/2026/04/google-unveils-two-new-tpus-designed-for-the-agentic-era/




Google unveils two new TPUs designed for the “agentic era”

So the new chips allow for faster training, but Google also says you get more useful computation for every volt you pump into a TPU 8t. The company claims a “goodpute” rate of 97 percent, which means less waiting and wasted effort. With better handling of irregular memory access, automatic handling of hardware faults, and real-time telemetry across all connected chips, TPU 8t spends more time actively advancing model training.

When training is done, AI models run in inference mode to generate tokens—that’s the process happening behind the scenes when you tell a model to do something. This doesn’t require as much horsepower, so using the same hardware for both parts of the AI lifecycle is inefficient. That’s why inference is the purview of TPU 8i, which is designed to be more efficient when running multiple specialized agents, with less waiting time. TPU 8i chips also run in larger pods of 1,152 chips versus just 256 for the last-gen Ironwood inference clusters. That works out to 11.6 EFlops per pod, much lower than TPU 8t pods.

TPU 8i chip

The TPU 8i has less raw power than TPU 8t.

Credit: Google

The TPU 8i has less raw power than TPU 8t. Credit: Google

Google has tripled the amount of on-chip SRAM for each TPU 8i to 384 MB. This allows the company’s new chips to keep a larger key value cache on the chip, speeding up models with longer context windows. The eighth-gen AI accelerators are also the first from Google to rely solely on Google’s custom Axion ARM CPU host, featuring one CPU for every two TPUs. In Ironwood, each x86 CPU serviced four TPU chips. Google says this “full-stack” ARM-based approach allows for much greater efficiency.

An efficiency play

It makes sense that efficiency is a core part of Google’s new TPU setup. Training and running frontier AI models is expensive, and the return on investment is unclear. Companies are still burning money on generative AI in the hopes that efficiency will turn the corner at some point. Maybe Google’s new TPUs will help get there and maybe not, but the company has made notable improvements.

https://arstechnica.com/ai/2026/04/google-unveils-two-new-tpus-designed-for-the-agentic-era/