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According to Bloomberg, NVIDIA CEO Huang Renxun's trip to Europe, on the 13th, announced an additional 2 billion dollar investment on top of the existing one. He revealed that NVIDIA has invested 8 billion dollars in Europe over the past year, and this time continues to increase investment. As the world's largest AI chip supplier, Huang Renxun has promised to invest billions of dollars worldwide, both to mature AI applications and to drive demand for its own chips. During this trip, he also met with French President Macron.
IDC: Nvidia's China data-center AI chip share fell to 34% in H1 2026. US export curbs limited supply, aiding local rivals. Its China AI accelerator shipments were 678k in Jan-Jun, down 44% YoY. CEO Jensen Huang criticized Washington, saying curbs cede a $50B market.....
OpenAI, Red Hat, NVIDIA, and others have jointly developed the open-source AI agent framework enterprise version OpenClaw Enterprise (OCE1.0), aiming to eliminate security concerns of governments and enterprises regarding self-driven AI agents. The community refers to it as a 'Kubernetes for Agents.' The project was initiated internally by OpenAI and has now been donated to the OpenClaw Foundation for coordination. OpenClaw was created by Peter Steinberger and is one of the earliest projects to use large models for email analysis and response, scheduling, and other autonomous tasks.
NVIDIA launched the software security tool OpenShell for AI agents on September 28, claiming it can prevent incidents similar to the AI attack on Hugging Face. Hugging Face is the world's largest open-source model hosting platform, which was acquired by NVIDIA for $12.93 billion this September. Justin Boytano, vice president of enterprise computing at NVIDIA, stated that if frontier laboratories had used this security platform during early model evaluations, they could have prevented the previous OpenAI intrusion into Hugging Face.
On Sept 27, NVIDIA released Nemotron3Diarization, a free ~100M-parameter AI model for speech segmentation and clustering. With open weights, it identifies speakers at any moment and handles up to 8 simultaneous voices in real time or recordings. It topped VoiceArena v1 with 14.72% error rate, far ahead of second place.....
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