Fortanix Armet AI + NVIDIA Nemotron: Secure Agentic AI Solution

Qualcomm unveils new AI accelerator chips to rival Nvidia & AMD, targeting AI inference for data centers. Stock surges 15%! Chips based on Hexagon NPUs, with AI200 (2026) & AI250 (2027) for full-rack systems. #AI #Tech #Qualcomm

Qualcomm announces AI chips to compete with AMD and Nvidia - CNBC Qualcomm is stepping into the competitive AI chip market dominated by Nvidia and AMD with their newly announced AI200 and AI250 data center chips, set for release in 2026 and 2027. Designed for AI inference tasks rather than model training, Qualcomm's chips aim to lower operational costs for clients, boasting advantages in power consumption and memory management. By leveraging their expertise in mobile processors, Qualcomm's Hexagon neural processing units now power these advanced rack-scale systems, offering scalable and cost-efficient solutions for cloud and AI-centric data centers. This marks a key development as industries continue to shift to AI-powered technologies. Learn more at: https://lnkd.in/gSQRfQ2A What are your thoughts on this? Don't hesitate to share your thoughts and ideas in the comments below. DevTech is always eager to hear from our community and learn about your experiences and perspectives. Looking forward to connecting with you! #devtech.pro #AI #technology #trending #news #innovation #technology This article is written and published by Doki. Doki is our documentation's and social media's AI Agent.

Palantir Technologies and NVIDIA Collaborate to Bring Operational AI to Enterprise Data Intelligence “Palantir and NVIDIA share a vision: to put AI into action, turning enterprise data into decision intelligence,” said Jensen Huang, founder and CEO of NVIDIA. “By combining Palantir’s powerful AI-driven platform with NVIDIA CUDA-X accelerated computing and Nemotron open AI models, we’re creating a next-generation engine to fuel AI-specialized applications and agents that run the world’s most complex industrial and operational pipelines.” Read More: https://lnkd.in/dat48jDS #AImodels #AITech365 #businesstechnology #Computing #decisionintelligence #news #NVIDIA #Palantir

The future of sovereign AI just got a $1 billion reality check. AMD and the U.S. Department of Energy just announced something that will reshape America's AI landscape forever. Two revolutionary supercomputers are coming to Oak Ridge National Laboratory. The Lux AI supercomputer arrives in early 2026 - America's first dedicated AI Factory for science. The Discovery supercomputer follows in 2028 with next-generation AMD "Venice" EPYC CPUs and MI430X GPUs. But here's what most people are missing: This isn't just about computational power. It's about technological sovereignty in an AI-driven world. While other nations race to build AI capabilities, America is building something different. An open, secure, and sovereign AI infrastructure that puts scientific innovation first. The Lux system will be powered by AMD Instinct MI355X GPUs and EPYC CPUs. But the real breakthrough is what this represents for public-private partnerships. For too long, AI development has been dominated by closed ecosystems. This initiative changes that narrative completely. It creates an open American AI stack that researchers and innovators can build upon. The implications extend far beyond supercomputing. We're witnessing the birth of a new model for AI development. One that prioritizes transparency, collaboration, and national competitiveness. At Koosai, we've always believed in "disrupting sensibly." This AMD-DOE partnership embodies that philosophy perfectly. It's not about building the biggest system. It's about building the right system for America's future. The convergence of sovereign AI, scientific computing, and open innovation creates unprecedented opportunities. For researchers pushing the boundaries of climate science. For innovators developing next-generation materials. For entrepreneurs building AI-powered solutions that matter. This $1 billion investment isn't just funding hardware. It's funding America's AI independence. And that changes everything. What does sovereign AI infrastructure mean for your industry? How will open AI stacks reshape innovation in your field?

In the fireside chat with Tomasz Bednarz of NVIDIA at the CEDA #AISummit2025, Dr Bednarz introduced the concept of ‘AI Factories’: “AI Factories are like data centres, but with a different language. Raw material goes in one end, and a more valuable product comes out the other. That product is knowledge, intelligence.” This concept reframes how we think about the infrastructure behind artificial intelligence. Dr Bednarz explained, “Whenever data is being changed to intelligence, that’s what we call AI Factories. It’s a system of conformance - components like GPUs, edge devices such as Jetson boards, all interconnected to transform data into actionable insights.” He also highlighted Australia’s opportunity: “This country needs to be a leader in AI. We have the talent and ambition to build factories here.” Lee Hickin summarised the idea perfectly: “When I heard it presented, I wasn’t sure why we were calling it a factory. Then it clicked - the raw material is data, and the output is intelligence. Tokens bring utility, intelligence adds value, and value creates economic growth. That’s why it’s a factory.” Just as steam powered the Industrial Revolution, AI Factories are fuelling a new era of transformation. They’re not just infrastructure - they’re the backbone of scalable AI development and the foundation for future innovation. An interesting discussion and concept - which I’ll take forward and consider in the context of the legal ecosystem and how we deliver legal services to our clients in the future. CEDA - Committee for Economic Development of Australia Herbert Smith Freehills Kramer Emily Coghlan Susannah Wilkinson Jenae Webb Alex Comyn Ryan Cimino #DigitalLegalDelivery #AI

AI Chip Wars: Qualcomm Takes On Nvidia 🤖 Qualcomm is shaking up the AI hardware landscape by launching new AI chips aimed at dethroning Nvidia's dominance. Meanwhile, Mercor just secured $350M to revolutionize AI talent acquisition. What does this mean for the future of AI innovation? Will Qualcomm's move disrupt the market, or is Nvidia too far ahead? Share your thoughts! ➡️ https://lnkd.in/d4dPzePe #AI #Semiconductors @Qualcomm @NVIDIA @MercorAI

Is the world finally moving away from NVIDIA GPUs? This edition (swipe) shows a massive push for "AI sovereignty." Swipe through to see: → PM Modi launching a ₹1 Lakh Cr. fund for AI & Deeptech R&D → US Gov’s $1 Bn partnership with AMD → Google providing 1 Mn+ TPU chips to Anthropic in a giant deal → Claude launching AI agents that can build DCF models and conduct due diligence And much more. If you are building in Finance x AI, or just curious, let's connect! #AIxFinance

Amazing validation of Fortanix #ConfidentialComputing technology by NVIDIA in their AI Factory reference design: "Customers can also secure their agentic AI applications by adding NVIDIA Confidential Computing to their hybrid and on-premises AI factories through data security platform partners such as Fortanix." Read more: NVIDIA announcement: https://lnkd.in/exKeYAvt Press release: https://lnkd.in/eF-abuCQ Joint solution blog: https://lnkd.in/e2rdGD4C Fortanix blog: https://lnkd.in/esPRyPx4