OpenAI has more than 100 million weekly active ChatGPT users in India, a huge chunk of whom are on the free or the lower-priced Go tiers.
NVIDIA has agreed to acquire AI model hosting platform Hugging Face for approximately $12.9 billion, which would become the largest acquisition in the GPU giant's history. The deal signals NVIDIA's strategic shift from selling chips to controlling the most critical model distribution gateway in the open-source AI ecosystem.
EVs account for under 10% of total new-vehicle sales in the US, and the numbers are declining. From a climate perspective, that’s pretty dismal, especially because the transportation sector is the single biggest source of greenhouse-gas emissions in the country.  One thing that could help turn that around? Slate Auto’s new truck—a vehicle that seems…
The Relay Q, due next year, is the latest attempt to reposition voice as the most seamless method for human-computer interaction.
You have questions about data centers, and WIRED has answers. Join our livestream on September 10 and our panel of experts will tell you everything you need to know.
Nvidia has put nearly US$50 billion into the AI labs that buy its chips, and has lined up commitments for more than $500 billion Colette Kress, the company’s chief financial officer, told analysts on August 26 that demand from the labs Nvidia backs with its own balance sheet will contribute toward roughly a quarter of its business […] The post A quarter of Nvidia’s business next year comes from labs it is financing appeared first on AI News.
Nvidia has reportedly agreed to buy Hugging Face, the popular open-source AI hub, for $12.9 billion in a move that would let Nvidia both protect its chip empire and jump back into the cloud business.
On August 26, 2026, OpenAI released the first performance data for its self-developed inference chip, Jalapeño, showing 1.5-1.9x higher throughput per kilowatt and 1.7-3.6x lower end-to-end latency than NVIDIA GB200 and GB300 rack systems on the InferenceX benchmark, marking the company's formal entry into hardware-level competition.
The UK’s energy regulator is using a variety of tricks to keep speculative data center projects from plugging into the power grid. The country’s AI ambitions hang in the balance.
Nvidia has joined forces with six top global asset management institutions to establish an independent computing power financing platform targeting over $500 billion in third-party capital. The move aims to reposition AI compute as an investable asset class, but critics warn of structural risks including GPU depreciation mismatches and the use of pension funds for AI infrastructure financing.
On August 26, 2026, Nvidia agreed to acquire Hugging Face for $12.9 billion, giving the chip giant control over the world's largest open-source AI model hosting platform. The deal raises questions about the platform's neutrality.
The startup is only a year old but it has already generated a massive amount of hype (and money) while also spurring privacy concerns.
Amazon is adding another 2 million Nvidia GPU chips to its data centers over the next two years. But this extended partnerships stretches beyond buying more chips.
Reuters report shows Meta's challenges replacing people with AI agents.
The new deal with the infrastructure provider is the latest example of Anthropic's white-hot compute-gobbling streak.
Google officially released Gemini 3.5 Transcribe via the Gemini API on August 26, 2026, achieving a 2.6% word error rate (ranked fifth) in non-streaming benchmarks and 4.0% in real-time streaming. The release splits into batch and streaming endpoints with three hard constraints, while Google's broader strategy extends from API access to embedding voice input directly into Chrome.
OpenAI unveiled the first public benchmark results for its self-developed AI inference chip, Jalapeño, at Hot Chips 2026, delivering 1.5–1.9x the per-watt inference throughput of Nvidia GB200/GB300 systems with end-to-end latency cut to 28–59% of comparison systems. The 700W chip comprehensively outclasses Nvidia's 1400W flagship in efficiency.
Beijing’s endlessly delightful Robot Games featured tons of impressive stunts. But the most mind-blowing tricks challenged the humanoid’s brain, not its brawn.
The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained to cheat and to communicate with each other, according to an OpenAI technical report released today. The hack, which a group of agents undertook to find solutions for a cybersecurity test that they were stuck on, has confirmed some experts’…
The report, which spans several discrete cybersecurity compromises, is the most complete accounting of the incident to date.
