Nvidia introduces Project G-Assist, an experimental AI assistant running locally on GeForce RTX GPUs. Offering contextual game help, system diagnostics, and optimization, it leverages on-device processing, unlike cloud-based alternatives. Available now for desktop RTX users via the Nvidia app, with laptop support planned.
H3C warns clients of 'significant uncertainties' and depleted stock for Nvidia's H20 AI chips, the most powerful allowed in China under US rules. Geopolitical tensions and supply chain fragility threaten China's AI development, highlighting reliance on restricted hardware amid soaring demand from tech giants like Tencent and Alibaba.
Nvidia is reportedly considering acquiring Lepton AI, a startup that rents AI servers equipped with Nvidia GPUs sourced from major cloud providers. This potential move, valued in the hundreds of millions, could push Nvidia into the AI infrastructure services market, capturing more value but potentially creating friction with its large cloud customers.
Nvidia's GTC keynote outlined its AI roadmap, introducing the Rubin architecture, emphasizing agentic AI's computational needs, and expanding into physical AI and robotics. Despite market fluctuations, Nvidia positions itself for continued leadership, betting on escalating demand for high-performance compute driven by increasingly complex AI applications and robotics.
Cognizant and Nvidia collaborate to accelerate enterprise AI adoption. Integrating Nvidia's full AI stack (NIM, NeMo, Omniverse) with Cognizant's Neuro AI platform, the partnership aims to move AI from pilots to production, focusing on multi-agent systems, industry LLMs, digital twins, and robust infrastructure to deliver scalable value faster.
Nvidia introduces Project G-Assist, an AI assistant for RTX GPU owners. Evolving from a joke to reality, it integrates into the Nvidia App, offering intelligent optimization, performance insights, and system control to simplify PC gaming and enhance user experience, requiring specific RTX hardware.
Nvidia's GTC showcased AI and robotics advancements, outlining CEO Jensen Huang's vision for automation. Topics included LLMs, autonomous systems, next-gen hardware, and AI's industry integration (healthcare, manufacturing), alongside challenges like energy use and ethics. Nvidia positions itself as the core engine driving this AI revolution.
NVIDIA's GTC conference showcased groundbreaking AI advancements, including humanoid robots in manufacturing and massive AI data centers. The expanded Microsoft partnership integrates NVIDIA's generative AI and Omniverse' technologies across Azure, Microsoft 365, and healthcare, accelerating AI deployments and solidifying Microsoft's position at the forefront of the AI revolution, boosting productivity and security.
At GTC 2025, Nvidia's CEO Jensen Huang unveiled the company's next-generation AI hardware, Blackwell Ultra and Vera Rubin, and outlined a vision of 'AI factories' powering a future driven by agentic AI and robotics. The keynote detailed advancements in computing, shifting from data centers to specialized AI infrastructure, and highlighted the transformative potential of AI across industries.
Nvidia's CEO, Jensen Huang, expressed surprise at publicly traded quantum computing companies, causing a stir in the market. His remarks highlighted the industry's early stage and the long road ahead for practical quantum computers, emphasizing the contrast between long-term potential and short-term investor expectations in this volatile, high-stakes field.
