Nvidia

At THINK 2025, IBM accelerates GenAI adoption with new enterprise-ready toolsโ€”from watsonx AI agents to secure LinuxONE infrastructure and hybrid cloud automation. The companyโ€™s latest updates aim to move businesses from GenAI pilots to full-scale deployments with enhanced integration, accuracy, and performance.
Huaweiโ€™s new AI chip, the Ascend 910D, has raised concerns about Nvidiaโ€™s China business, but analysts say it lacks the global performance, ecosystem, and efficiency to compete with Nvidiaโ€™s H100 GPU. Built on 7nm technology with limited software support, Huaweiโ€™s chip may gain local traction but poses no major international threatโ€”yet.
Indian telecom companies such as Jio and Airtel are moving beyond internal AI use cases to co-develop monetizable, India-focused AI applications in partnership with tech giants like Google, Nvidia, Cisco, and AMD. These collaborations are enabling sector-specific AI tools across healthcare, education, and agriculture, boosting operational efficiency, customer experience, and creating new revenue streams for telecom operators.
NVIDIA has launched a major U.S. manufacturing expansion for its next-gen AI infrastructure. Blackwell chips will now be produced at TSMCโ€™s Arizona facilities, with AI supercomputers assembled in Texas by Foxconn and Wistron. Backed by partners like Amkor and SPIL, NVIDIA is localizing its AI supply chain from silicon to system integrationโ€”laying the foundation for โ€œAI factoriesโ€ powered by robotics, Omniverse digital twins, and real-time automation. By 2029, NVIDIA aims to manufacture up to $500B in AI infrastructure domestically.
In Technology Game Changers, leaders from Agility Robotics, Lenovo, Databricks, Mistral AI, and Maven Clinic showcase how AI and robotics are moving from novelty to necessity. From Peggy Johnsonโ€™s Digit transforming warehouse labor, to Lenovoโ€™s hybrid AI ecosystem, Databricks’ frictionless AI UIs, Mistralโ€™s sovereignty-focused open-source models, and Mavenโ€™s virtual womenโ€™s health platform, this article explores the intelligent, personalized, and responsible future of tech. The next frontier of innovation isnโ€™t just smartโ€”itโ€™s human-centered.
NVIDIA and Google Cloud are collaborating to bring secure, on-premises agentic AI to enterprises by integrating Googleโ€™s Gemini models with NVIDIAโ€™s Blackwell platforms. Leveraging confidential computing and enhanced infrastructure like the GKE Inference Gateway and Triton Inference Server, the partnership ensures scalable AI deployment without compromising regulatory compliance or data sovereignty.
Nvidia’s Open Power AI Consortium is pioneering the integration of AI in energy management, collaborating with industry giants to enhance grid efficiency and sustainability. This initiative not only caters to the rising demands of data centers but also promotes the use of renewable energy, illustrating a significant shift towards environmentally sustainable practices. Discover how this synergy between technology and energy sectors is setting new benchmarks in innovative and sustainable energy solutions.
SoftBank has launched the Large Telecom Model (LTM), a domain-specific, AI-powered foundation model built to automate telecom network operations. From base station optimization to RAN performance enhancement, LTM enables real-time decision-making across large-scale mobile networks. Developed with NVIDIA and trained on SoftBankโ€™s operational data, the model supports rapid configuration, predictive insights, and integration with SoftBankโ€™s AITRAS orchestration platform. LTM marks a major step in SoftBankโ€™s AI-first strategy to build autonomous, scalable, and intelligent telecom infrastructure.
Nvidia GTC 2025 introduced AI advancements, including Blackwell Ultra AI chips, agentic AI, and AI Factories. With innovations in robotics, generative AI, and AI-driven cloud computing, Nvidia is shaping the future of AI-powered industries. Discover how these technologies are transforming healthcare, finance, automotive, and enterprise applications.

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