333 summarised stories about NVIDIA, each linking back to the original source. Browse all topics →
The Verge 1 month ago 5
Xiaomi launched the 18 Fold in mainland China with a custom Xring O3 chip that includes an Arm Mali G2-Ultra NX graphics processor. The GPU includes an AI gaming graphics accelerator after 5 years of development. Mobile games should run faster and support higher resolution and advanced lighting techniques without increasing power use.
finance.yahoo.com 1 month ago 51 ● 16 sources
NVIDIA CEO Jensen Huang said AGI has arrived, pointing to OpenAI’s newest ChatGPT model trained on Nvidia hardware. He cited training on about 100,000 Nvidia chips (after initially mentioning 300,000). The claim is prompting market focus on Nvidia’s GPU supply and compute revenue, while OpenAI has not said AGI has arrived and Huang indicated 400,000 more chips will be switched on soon.
Tech Funding News 1 month ago 40 ● 4 sources
Nscale is in talks to raise up to $3.5B pre-IPO, including $1.5B in convertible notes led by Third Point and about $2B from Nvidia, with Goldman Sachs advising. The company reports contracted deals of about $103B, up from about $51B a month earlier. Backlog growth and the planned financing would shape how the deal converts and thus how dilution is handled ahead of a US listing, with a key $30B valuation threshold affecting noteholder conversion.
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15 October 2026
Meta’s big move today wasn’t just another model release—it was a licensing-and-distribution statement. Muse Spark Open ships as an 816B-parameter, coding-optimized multimodal model with a 1 million–token context window and 42B active parameters per token, now available as downloads for developers (with restrictions) and deployable through Amazon SageMaker JumpStart into customer-controlled endpoints. The “open” part comes with strings: a custom Muse Model License, advance notification above $20 million revenue, and a required “Built with Muse Spark Open” attribution. Meta still keeps its top systems closed, but it’s clearly betting that more developers will build long-running agent workflows when they can run, fine-tune, and adapt the weights.
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