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NVIDIA and Google Cloud Partner to Advance Secure Agentic AI Deployment

NVIDIA and Google Cloud Partner to Advance Secure Agentic AI Deployment
NVIDIA and Google Cloud are collaborating to bring secure, on-premises agentic AI to enterprises by integrating Google’s Gemini models with NVIDIA’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 Releases Open Source KAI Scheduler for Enhanced AI Resource Management

Nvidia Releases Open Source KAI Scheduler for Enhanced AI Resource Management
Nvidia has open-sourced the KAI Scheduler, a key component of the Run:ai platform, to improve AI and ML operations. This Kubernetes-native tool optimizes GPU and CPU usage, enhances resource management, and supports dynamic adjustments to meet fluctuating demands in AI projects.

Nvidia’s AI Consortium Drives AI-Driven Energy Management

  • Tech News & Insight
  • March 23, 2025
Utilities - TeckNexus
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 Launches AI-Powered Large Telecom Model for Network Automation

SoftBank Launches AI-Powered Large Telecom Model for Network Automation
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 SoftBank’s operational data, the model supports rapid configuration, predictive insights, and integration with SoftBank’s AITRAS orchestration platform. LTM marks a major step in SoftBank’s AI-first strategy to build autonomous, scalable, and intelligent telecom infrastructure.

Nvidia GTC 2025: AI Breakthroughs with Blackwell Ultra, Agentic AI and Robotics

Nvidia GTC 2025: AI Breakthroughs with Blackwell Ultra, Agentic AI & Robotics
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.

AI Factories: How NVIDIA is Transforming Data Centers for the AI Era

AI Factories: How NVIDIA is Transforming Data Centers for the AI Era
NVIDIA is redefining data centers with AI factories, purpose-built to manufacture intelligence at scale. Unlike traditional data centers, AI factories process, train, and deploy AI models for real-time insights, automation, and digital transformation. As global investments in AI infrastructure rise, enterprises and governments are prioritizing AI-powered data centers to drive innovation, efficiency, and economic growth.

NVIDIA Unveils Halos: AI-Powered Safety System for Autonomous Vehicles

NVIDIA Unveils Halos: AI-Powered Safety System for Autonomous Vehicles
NVIDIA has launched Halos, a full-stack AI-powered safety system designed to enhance autonomous vehicle (AV) development. By integrating AI models, simulation tools, and compliance frameworks, Halos ensures AV safety from cloud to car. With industry partners like Continental, onsemi, and OMNIVISION, NVIDIA is setting new safety benchmarks for self-driving technology.

GM and NVIDIA Partner to Bring AI to Factories, Robots, and Self-Driving Cars

GM and NVIDIA Partner to Bring AI to Factories, Robots, and Self-Driving Cars
General Motors (GM) is strengthening its AI collaboration with NVIDIA to revolutionize manufacturing, vehicle design, and autonomous technology. By leveraging AI-powered digital twins, intelligent robotics, and advanced driver-assistance systems, GM aims to enhance efficiency, safety, and innovation across its operations. This partnership marks a major step toward smarter factories, faster vehicle development, and the future of AI-driven transportation.

NVIDIA & Telecom Leaders Partner to Build AI-Powered 6G Networks

NVIDIA & Telecom Leaders Partner to Build AI-Powered 6G Networks
NVIDIA is partnering with telecom leaders like T-Mobile, Cisco, and MITRE to develop AI-powered 6G networks, integrating artificial intelligence into next-gen wireless infrastructure. Announced at NVIDIA GTC, this initiative leverages AI-RAN and Open RAN technologies to enhance spectral efficiency, optimize network performance, and enable seamless 6G connectivity.

Moving beyond networks – the connected industries opportunity for telcos

Private Wireless Networks: A Catalyst for Industry Evolution
As telcos seek growth beyond connectivity, a $400 billion enterprise opportunity awaits. At MWC25’s Connected Industries, leaders from NVIDIA, 5GAA, and Accenture will explore how 5G, AI, IoT, and private networks are reshaping industries like manufacturing, fintech, smart mobility, and entertainment. Learn why GSMA’s Connected Communities is key to unlocking new revenue streams and driving digital transformation.

AI Adoption in Telecom Hits Record High: Nvidia Report

AI Adoption in Telecom Hits Record High: Nvidia Report
Nvidia’s latest State of AI in Telecommunications report reveals that 97% of telcos are investing in AI, with 49% actively using it. AI is driving cost savings, revenue growth, and network automation, with applications spanning customer service, security, and AI-RAN integration. As telcos prepare for 6G and AI-driven networks, challenges like AI expertise gaps and ROI measurement remain key hurdles.

Why AI Agents Can’t Scale Without LLMs: Essential Guide & Free Resources

Why AI Agents Can't Scale Without LLMs: Essential Guide & Free Resources
AI agents are transforming industries in 2025, but scaling them efficiently without Large Language Models (LLMs) is impossible. LLMs provide critical capabilities such as reasoning, knowledge retrieval, and contextual understanding that power AI automation. This detailed article explores why LLMs are essential for AI agents, the role of Retrieval-Augmented Generation (RAG), optimization strategies, and the best free resources to master LLMs.

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