最新 AI 资讯
Nscale buys Anyscale as it seeks to own more of the AI compute stack
In a bid to capture more of its customers’ AI spending, British AI neocloudNscaleis buying software startupAnyscale, which helps companies scale their AI workloads across data centers and servers. Nscale is paying $1.65 billion for Anyscale, Bloombergreported, citing an anonymous source. Founded by the same team that built the open-sourceProject Raydistributed programming Python framework, Anyscale started by building a platform that allowed people to run projects that needed large amounts of computing power. But after the launch of GPT-3 in 2022 brought AI into the spotlight, the company pivoted to offer scaling services for serving and training large language models, data curation, inferencing, reinforcement learning, and other tasks. The company’s platform is built around Ray, offering developer tools, observability and orchestration. A deal to buy Anyscale would fall neatly into Nscale’s focus on building vertically to serve compute needs. The neocloud has set up business lines across energy, data centers, orchestration software, and now, with Anyscale, it will also offer workload management and scaling. “Together, Anyscale and Nscale can co-design the software layer and infrastructure beneath it, something that neither company could do as effectively by optimizing its layer alone,” Anyscale said in astatement. Nscale this March raised$2 billionin a Series C round that saw it valued at $14.6 billion. Its investors include Nvidia, Nokia, Blue Owl, Dell, and Norwegian industrial giant Aker. The neocloud has been busy putting that money, as well asvariousdebtraises, to work, securing compute and data center partnerships with the likes ofMicrosoft,British Telecom, andNordcraft. Anyscale, which was valued at $1.38 billion in a 2022Series C round, said its revenue increased by 70% in its most recent quarter, compared to the previous sequential quarter. Nscale said Anyscale will continue to operate under its own branding and serve its existing customers. The startup’s about 200 employees are all joining Nscale.
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Marvell to Invest $250 Million in India, Double Workforce as AI & Semiconductor Demand Surges
Marvell also recently launched the Marvell Scholarship for Technical and Engineering Merit (MSTEM) programme, which aims to strengthen India’s future semiconductor and AI talent pipeline.
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Cognizant Takes OpenAI Codex Training to 10,000 Employees in India in AI Skills Push
The company has launched its first global OpenAI Codex hackathon across six Indian cities, with plans to expand participation to over 50,000 employees as it deepens investments in AI engineering talent.
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Sarvam AI Hires Former xAI Researcher Devendra Chaplot to Build Frontier AI Models
The AI startup is also opening a new office in San Francisco.
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Elon Musk’s SpaceXAI Launches Grok Voice Think Fast 2.0 AI Model With Improved Speech Reasoning and More
Grok Voice Think Fast 2.0 was unveiled by the Elon Musk-led SpaceXAI on Wednesday as the tech giant's most advanced voice model yet. The new AI model succeeds the Grok Voice Think Fast 1.0, which was launched globally earlier this year, in April. The tech giant claims that its latest Grok Voice Think Fast 2.0 AI model outperformed rivals from Google and OpenAI on various benchmarking tests. Building on the Grok Voice Think Fast 1.0, the new AI model is claimed to offer enhancements on various fronts, including speech reasoning, transcription accuracy, conversational ability, and tool use reliability.
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OpenAI Confirms Plans for a Family of AI Hardware Products
OpenAI is preparing a wider hardware push centred on its artificial intelligence technology, according to comments made by the company's president. During a recent interview, Greg Brockman said OpenAI is developing a family of AI devices instead of a single hardware product. He did not reveal the form factor or launch schedule of the upcoming devices but indicated that the first products are not far away. Brockman also discussed OpenAI's desktop app redesign, voice-first computing, privacy efforts and the company's broader hardware vision.
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Google Rolls Out Lyria 3.5 AI Music Model in Flow Music With Richer Melodies and Vocals
Google has introduced Lyria 3.5, the latest version of its AI music generation model, with improvements aimed at making AI-created songs sound more natural and expressive. The update enhances melody generation, lyric quality, vocal performance and creative controls while expanding the ways users can shape their music. Lyria 3.5 is rolling out through Google Flow Music from today. The release builds on the company's earlier Lyria models and continues its efforts to improve AI-powered music creation.
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Sarvam Takes Aim at Every Layer of the AI Stack
Alongside new AI models and products, Sarvam said it has built one of India’s largest Blackwell GPU deployments.
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AI is Coming for Test Engineers, But This GCC Says Humans Aren’t Going Anywhere
Emerson believes the engineer is still ultimately the one responsible and sees no future where the engineer is out of the loop.
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Google Upgrades Gemini for macOS With Ability to Transcribe, Refine Natural Language Voice Inputs, and More
Google upgraded the Gemini for macOS with the introduction of Gemini Spark, the personal AI agent for Apple desktops and laptops, which was first showcased during the keynote presentation of this year's Google I/O. The dedicated Gemini AI app for the platform was launched earlier this year in April, making it relatively new compared to its rivals. Now, the Mountain View tech giant has released a new update for the Gemini for macOS app. Rolling out to all users globally, the update lets Gemini for macOS transcribe natural-language voice inputs and use on-screen context to generate better responses.
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Azure Hits $100 Bn Revenue in FY26 as Microsoft Pushes Multi-Model AI Strategy
Pushing full-year revenue past $331 billion, Microsoft is expanding data centre capacity and decoupling enterprise context to give customers model flexibility.
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AICTE Partners with Pega to Launch National AI Internship Programme for Engineering Students
The programme attracted more than 10,000 registrations, eventually expanding to nearly 75,000 students across over 1,500 colleges nationwide.
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