Latest AI News
OpenAI taps Tata for 100MW AI data center capacity in India, eyes 1GW
OpenAI has partnered with India’s Tata Group to secure 100 megawatts of AI-ready data center capacity in the country, with plans to scale to 1 gigawatt. The move is part of a broader push to deepen the company’s enterprise and infrastructure footprint in one of its fastest-growing markets. OpenAIannouncedon Thursday that the partnership with the Tata Group is part of itsStargate project, which aims to build AI-ready infrastructure and expand enterprise adoption globally. OpenAI will become the first customer of Tata Consultancy Services’ HyperVault data center business, beginning with 100 megawatts of capacity. The deal also includes deploying ChatGPT Enterprise across Tata’s workforce and standardizing AI-native software development through OpenAI’s tools. The partnership, which falls under the “OpenAI for India” initiative, highlights the company’s expanding footprint in the country, which according to recent estimates from CEO Sam Altman hasmore than 100 million weekly ChatGPT usersspanning students, teachers, developers, and entrepreneurs. The scale of adoption has positioned India as one of OpenAI’s most important growth markets as it deepens enterprise and infrastructure investments in the country. The local data center capacity will allow OpenAI to run its most advanced models within India, reducing latency for users while meeting data residency, security, and compliance requirements for regulated sectors and government workloads. Hosting compute domestically is critical for enterprises that handle sensitive data and operate under data localization and digital infrastructure rules. These circumstances could widen OpenAI’s access to enterprise customers that require in-country processing. An initial 100 megawatts of capacity represents a substantial commitment in the context of AI infrastructure, where large-scale model training and inference require power-hungry clusters of graphics processing units, or GPUs. Scaling to 1 gigawatt over time would place the Tata facility among the largest AI-focused data center deployments globally, underlining the scale of OpenAI’s long-term ambitions in India. Beyond infrastructure, OpenAI and Tata Group will pursue a strategic enterprise collaboration aimed at accelerating AI adoption across Tata’s businesses. The conglomerate plans to roll out ChatGPT Enterprise to its workforce over the coming years, beginning with hundreds of thousands of employees at Tata Consultancy Services (TCS), in what would rank among the largest enterprise AI deployments globally. TCS also intends to use OpenAI’s Codex tools to standardize AI-native software development across its engineering teams. N Chandrasekaran, chairman of Tata Sons, said OpenAI’s partnership would help build “state-of-the-art AI infrastructure in India” while supporting efforts to skill the country’s workforce for the AI era. Financial terms of the deal were not disclosed, including whether OpenAI is making a capital investment in HyperVault or leasing capacity. In November 2025, TCSsecured backing from private equity firm TPGto develop AI-ready infrastructure in India under its HyperVault data center business. The platform is backed by about ₹180 billion (about $2 billion) in planned investment and is designed to support large-scale compute workloads for hyperscalers and enterprise customers. OpenAI will also expand its certification programs in India, with TCS becoming the first participating organization outside the United States. The certifications are designed to help professionals build practical AI skills across roles and industries, the company said. The move follows OpenAI’srecent partnerships with leading Indian institutionsin engineering, medicine, and design. OpenAI plans to open new offices in Mumbai and Bengaluru later this year, adding to itsexisting presence in New Delhias it deepens operations in the country. The expansion is expected to support enterprise partnerships, developer engagement, and local regulatory coordination as the company scales its footprint in India. The announcement comes as India hosts itsAI Impact Summitin New Delhi, where global AI leaders, including Sam Altman, Anthropic CEO Dario Amodei and Google CEO Sundar Pichai are participating alongside Indian startups and enterprises showcasing AI applications across sectors such as finance, healthcare, and education. OpenAI has been expanding its presence in India throughpartnerships with companies including Pine Labs, JioHotstar, Eternal, Cars24, HCLTech, PhonePe, CRED, and MakeMyTrip, as it seeks to embed its models across consumer platforms, enterprise systems and digital payments infrastructure in one of the world’s largest internet markets. Together, the data center build-out, enterprise deployments, and expanding partner ecosystem signal OpenAI’s most comprehensive push yet to anchor advanced AI infrastructure and applications in India.
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Gnani.ai Unveils Vachana TTS, Zero Shot Voice Cloning Model for 12 Indian Languages
Gnani.ai has launched Vachana TTS, a foundational text to speech model with zero shot voice cloning across 12 Indian languages.
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TCS to Deploy OpenAI Codex, Build 100 MW AI Data Infra in Partnership with OpenAI
The partnership covers enterprise productivity, industry-focused AI solutions, joint go-to-market programs, and the development of large-scale AI infrastructure in India.
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Fei-Fei Li’s World Labs Raises $1 Billion to Scale Spatial AI
The round was led by a deep bench of industry heavyweights, with Autodesk contributing $200 million.
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OpenAI to Open New Offices in Mumbai & Bengaluru
The move comes as Anthropic announced its new office in Bengaluru.
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Not All Robots at the India AI Impact Summit were Chinese
Physical AI is finding its way into factories and fields. The emphasis throughout the summit was on usable deployments rather than speculative research.
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Netflix Achieves 4.7x Faster LLM Post-Training With New Distributed Platform
At Netflix, post-training includes personalisation, recommendation, and search.
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Macron Urges India to Join France in Banning Social Media for Children Under 15
“I know, Mr PM, you’ll join this club,” he said, calling India’s participation an important step to protect children.
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Google Cloud’s VP for startups on reading your ‘check engine light’ before it’s too late
Startup founders are being pushed to move faster than ever, using AI while facing tighter funding, rising infrastructure costs, and more pressure to show real traction early. Cloud credits, access to GPUs, and foundation models have made it easier to get started, but those early infrastructure choices can have unforeseen consequences once startups move beyond free credits and into real cloud bills. On this episode of TechCrunch’sEquitypodcast, Rebecca Bellan caught up withDarren Mowry, Google Cloud’s vice president of global startups who is right at the center of those tradeoffs. Together, they discuss what Mowry’s seeing across the startup ecosystem, how Google Cloud is competing for AI startups, and what founders should be thinking about as they scale. Listen to the full episode to hear about: Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.
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Is your startup’s check engine light on? Google Cloud’s VP explains what to do
Loading the player… Startup founders are being pushed to move faster than ever, using AI while facing tighter funding, rising infrastructure costs, and more pressure to show real traction early. Cloud credits, access to GPUs, and foundation models have made it easier to get started, but those early infrastructure choices can have unforeseen consequences once startups move beyond free credits and into real cloud bills. On this episode of TechCrunch’sEquitypodcast, Rebecca Bellan caught up withDarren Mowry, Google Cloud’s vice president of global startups who is right at the center of those tradeoffs. Watch as they discuss what Mowry’s seeing across the startup ecosystem, how Google Cloud is competing for AI startups, and what founders should be thinking about as they scale. Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.
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Kana emerges from stealth with $15M to build flexible AI agents for marketers
Marketing is one of the few operations no industry can afford to ignore, which is why we have a veritable host of AI-powered marketing tools being shoved into marketers’ faces today. All the social platforms, from Facebook and Instagram to TikTok, and major incumbents like Microsoft and Google, to content-generation startups like Jasper and Copy.ai, offer AI tools that claim to make marketers’ lives easier in uncountable ways. That was partly why I was confused to see yet another marketing AI startup entering the fray: San Francisco-based Kana just came out of stealth with a suite of AI agents that can do data analysis, audience targeting, campaign management, customer engagement, media planning, and optimizing for AI chatbots. The startup has raised $15 million in a seed funding round led by Mayfield. But Kana has something going for it that most marketing startups today don’t: Its co-founders, Tom Chavez (CEO; pictured above on the right) and Vivek Vaidya (CTO; pictured above on the left), have been building marketing tech for more than 25 years. Kana’s actually their fourth venture afterRapt(acquired by Microsoft in 2008),Krux(bought by Salesforce in 2016), and startup studiosuper{set}, which they incubated Kana in for nine months. Calling this a “wondrous” time to be building, Chavez said there was a clear opportunity to bring their experience and today’s AI tech to bear on this class of problems. “We see a market that’s crying out for solutions that meet this moment […] We understand the space deeply, having wallowed in it arguably a little too long; having really stood in our customers’ pain,” he told TechCrunch. The solution, as Kana pitches it, involves “loosely coupled” AI agents that can be tailored “on the fly,” integrated into legacy marketing software, and can simultaneously work on different operations. So a marketer could, for example, upload a media brief that Kana’s agents would analyze to figure out the campaign goals, search for the audience to target, and pull in data from inventory and market research to further tweak the plan. The platform bakes in autonomous campaign tracking, optimization, and reporting. Alongside agents, Kana offers synthetic data generation to augment third-party data sources for activities like market research and audience targeting. This, Chavez argued, could help companies reduce the costs of using third-party data, fill in gaps in the data, and help marketers run tests on various platforms faster and narrow down strategies. Kana says this is all done while keeping humans in the loop so that marketers can approve the AI agents’ actions, give feedback, and customize what the agents do as their needs change. Chavez and Vaidya emphasized the importance of the platform’s flexibility, arguing that the ability to deploy, tailor, and build new agents in real time would let marketers see results on their campaigns faster than they would with legacy systems. Going forward, the startup sees that very flexibility to customize its platform for customers, doubling as its moat against incumbents and other startups building similar products. “We have the opportunity not to create bespoke solutions, but to highly tailor and configure these solutions to meet customers where they are. Larger companies just are never going to get there,” Chavez said. “We live in a world which allows us to explore a third option [with customers]: not build, not buy, but build with — build with in a way which is supported,” Vaidya added. “We can move with insane speed that these big companies just cannot. And that’s our advantage.” Kana will use the fresh cash to expand hiring across engineering, product, and go-to-market. Mayfield managing partner Navin Chaddha is joining the company’s board.
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Google adds music-generation capabilities to the Gemini app
Google announced on Wednesday that it’s adding a music-generation feature to the Gemini app. The company is usingDeepMind’s Lyria 3 music-generation modelto power the feature, which is still in beta. To use the feature, you’ll describe the song you want to create, and the app will generate a track along with lyrics. For instance, you could ask Gemini to create a “comical R&B slow jam about a sock finding its match,” and the app will generate a 30-second track along with cover art made by Nano Banana. Google said that you can even upload a photo or a video, and the AI-powered tool will create a song to match the mood of the media file. Loading the player… The company said that Lyria 3 improves onthe previous generation of models, creating more realistic and complex music tracks. Users can also change and control other elements like style, vocals, and tempo. Along with rolling out Lyria 3 to the Gemini app, Google is making the model available to YouTube creators through the Dream Track feature on YouTube,a toolthat helps creators make AI-generated tracks. The option was only available to YouTube creators in the U.S. until now. But with this release, Google is expanding Dream Track availability globally. Google said that you can’t mimic an artist outright, but if you add an artist’s name to your prompt, Gemini will create a track in a similar style or a mood. (It’s not clear if generation will make it easier for others to decode the music style of a particular artist.) “Music generation with Lyria 3 is designed for original expression, not for mimicking existing artists. If your prompt names a specific artist, Gemini will take this as broad creative inspiration and create a track that shares a similar style or mood. We also have filters in place to check outputs against existing content,” the company said in ablog post. Google noted that all songs created with the Lyria 3 model will have a SynthID watermark to identify AI-generated content. The company said that it’s alsoadding capabilities to identify AI-generated musicwith SynthID within Gemini. Users will be able to upload tracks and ask Gemini if it is AI-generated. Music generation is rolling out to all 18+ Gemini users across the world with support for English, German, Spanish, French, Hindi, Japanese, Korean, and Portuguese. AI-generated music has created mixed sentiments among artists and listeners. On one hand, companies like YouTube and Spotify are adopting AI and signing contracts with music labels to monetize AI-generated music. On the other hand, AI model and tooling companies are facing lawsuits from the music industry over copyrights of the training material. Platforms likeDeezer have published tools to mark AI-generated musicto curb fraudulent streams of this kind of music.
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