RPCS3 developers publicly criticized Nvidia's unreleased DLSS 5 technology after modders leaked and tested the DLL on games and the PS3 emulator itself, calling the results 'slop' and accusing the industry of using upscaling and frame generation to mask poor optimization. Some users pushed back, arguing that DLSS and FSR frame generation can work alongside optimization efforts, with Reflex helping offset added latency. RPCS3 says it won't adopt such techniques, noting PS3-era games lack the motion-vector data needed for modern temporal upscalers.
Nvidia has agreed to acquire Hugging Face, the open-source AI model repository used by over 18 million developers hosting more than 3 million models, in a deal valued at roughly $12.93 billion. Nvidia says Hugging Face will keep operating as an independent, open platform, allowing developers to use any framework, cloud or hardware, not just Nvidia's own chips.
Nvidia has released Personal AI Router (PAIR), a free open-source tool that finds compatible computers on a home network and links them together to run local AI inference tasks through apps like Ollama and LM Studio. It supports Nvidia RTX 20-series and newer GPUs, RTX Pro and DGX Spark systems, plus Apple M4 chips or later, and only taps machines when they're idle so it doesn't interfere with other use.
Nvidia has detailed two variants of its Arm-based N1X chip that will power RTX Spark laptops arriving next month. The higher-end version pairs a 6144-core Blackwell RTX GPU with a 20-core Grace CPU and up to 128GB of unified memory, while the scaled-down laptop version uses a 5120-core GPU, an 18-core CPU, and up to 32GB of memory. Devices from Asus, Dell, HP, Lenovo, Microsoft, and MSI are expected to launch in October, alongside mini PCs like Microsoft's Surface RTX Spark Dev Box.
Nvidia announced a deal to purchase Hugging Face, the widely used open-source hub for AI models, datasets and developer tools, for roughly $12.93 billion. CEO Jensen Huang said the platform will stay open to all developers regardless of hardware or cloud provider, and that Nvidia compute won't be a requirement to use it. The acquisition follows weeks of reports that Hugging Face was exploring a sale near this valuation.
Dell has unveiled the Alienware AW2527HX QD-OLED monitor, a 25-inch display with a 560Hz refresh rate and 0.03ms gray-to-gray response time, making it the quickest monitor the company has built. The panel was developed with input from esports organization Team Liquid and features 99% DCI-P3 color coverage, infinite contrast, V-stripe subpixels, and a matte anti-glare coating. It supports DisplayPort 2.1 and NVIDIA G-Sync, includes a telescopic stand, narrow bezels, a rear headset hanger, and a 3-year warranty covering OLED burn-in, with launch expected in early 2027.
Equinix, a colocation data center provider dating back to 1998, has signed a deal with Nvidia enabling customers to run AI workloads flexibly on the Together AI cloud platform. The company's shares have climbed 33% this year, outperforming major tech stocks and pushing its market capitalization to roughly $100 billion, making it the largest data center REIT ahead of Digital Realty's $68 billion valuation.
TechCrunch Disrupt 2026, set for October 13-15 at San Francisco's Moscone West, will split its AI programming into two stages, adding a new Real World AI Stage alongside the existing AI Stage. The new stage focuses on physical applications of AI, including autonomous hardware, robotics, defense systems, and de-extinction science, with confirmed speakers from Nvidia, Shield AI, Colossal Biosciences, FieldAI, and Foxglove.
VentureBeat's July VB Pulse survey of 170 AI infrastructure buyers found 39.4% plan to evaluate non-Nvidia accelerators like AWS Trainium, Google TPU, AMD Instinct or Intel Gaudi over the next year, versus 25.3% who plan to evaluate Nvidia's next-gen Blackwell GPUs. Despite this evaluation gap, the share of respondents expecting to switch platforms within three months actually dropped from 38.3% to 28.8%, even as usage and infrastructure activity rose across the board.
At a G20 gathering, leaders from OpenAI, Anthropic, Nvidia and Palantir urged world leaders to embrace rapid AI development and avoid heavy regulatory constraints. The executives framed AI adoption as essential and non-negotiable, echoing the deregulatory stance favored by the Trump administration.
At the G20 Innovation Ministerial in Chapel Hill, North Carolina, top AI executives including Nvidia's Jensen Huang, Anthropic's Tom Brown and OpenAI's Sam Altman joined a session led by Commerce Secretary Howard Lutnick and OSTP Director Michael Kratsios. Treasury Secretary Scott Bessent separately said AI firms have done a poor job explaining themselves to the public, reflecting growing scrutiny of the sector and its data center footprint. Separately, Lutnick told CNBC the administration is drafting a framework for semiconductor tariffs.
Multiverse Computing has launched Quasar 438B, a reasoning model for enterprise agents and coding that operates in English and Spanish. It scored 43 on the Artificial Analysis Intelligence Index, the highest mark of any European model, surpassing Mistral Medium 3.5, NVIDIA Nemotron 3 Ultra and Inkling, though still trailing global leader Claude Opus 5 at 63. It also responds quickly, generating 500 tokens including reasoning time in 15.3 seconds, and is accessible via the CompactifAI API.
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