https://ow.ly/i4Mi50Xbgfc NVIDIA and Oracle announced they are deepening their collaboration to bolster sovereign #AI initiatives and accelerate government digital transformation worldwide.
NVIDIA and Oracle strengthen collaboration for AI and digital transformation
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https://ow.ly/i4Mi50Xbgfc NVIDIA and Oracle announced they are deepening their collaboration to bolster sovereign #AI initiatives and accelerate government digital transformation worldwide.
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https://ow.ly/i4Mi50Xbgfc NVIDIA and Oracle announced they are deepening their collaboration to bolster sovereign #AI initiatives and accelerate government digital transformation worldwide.
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NVIDIA and Oracle Unveil Breakthrough Sovereign AI Partnership to Drive Abu Dhabi’s AI-Native Government Transformation #AI #ML #AINews #MachineLearning #ArtificialIntelligence #Singularity https://lnkd.in/g9Jmmtqf
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The AI Inflection Point Isn’t in the Cloud, It’s at the Edge The AI story is about more than just the big data centers. Zach Shelby, of Edge Impulse, tells how agentic architectures can help bring AI capabilities to the edge. AI model development has reached an inflection point, bringing high-performance computing capabilities typically reserved for the cloud out to edge devices. It’s a refreshing perspective compared to the all-consuming nature of large language models (LLMs) and the GPUs needed to run them. “You’re gonna run out of compute, power, energy and money at some point,” said Zach Shelby, CEO and co-founder of Edge Impulse, a Qualcomm Technologies company. “We want to deploy [generative AI] so broadly. It’s not scalable, right? And then it runs into so many reliability issues. It runs into power issues.” At the edge, power matters differ, according to the device. The upshot, though? These devices can run a variety of language models, but LLMs pose a noteworthy challenge. https://lnkd.in/ecRKitN8 Please follow Baljeet Singh for such content. #DevSecOps, #SecureDevOps, #CyberSecurity, #SecurityAutomation, #CloudSecurity, #InfrastructureSecurity, #DevOpsSecurity, #ContinuousSecurity, #SecurityByDesign, #SecurityAsCode, #ApplicationSecurity, #ComplianceAutomation, #CloudSecurityPosture, #SecuringTheCloud, #SecurityDevOps, #RiskManagement, #SecureCode, #ThreatDetection, #SecurityTesting, #CyberResilience, #OracleRightNow, #OracleFieldServiceCloud, #MulesoftDeveloper, #CertifiedMulesoft, #ScrumMaster, #OracleB2B, #CloudSolutions, #DigitalTransformation, #EnterpriseArchitecture, #TechLeadership, #SolutionArchitect, #MulesoftIntegration, #AgileMethodology, #CloudComputing, #CyberSecuritySolutions, #ITConsulting, #B2BTech, #CloudIntegration, #TechInnovation
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Organisations building frontier AI are making very conscious decisions about the underlying infrastructure. It must scale efficiently, securely, reliably and adapt as requirements evolve. The OpenAI and AWS partnership announced today reflects a trend I’m seeing across financial services: as AI scales in production, infrastructure becomes a key decision point. Building the next generation of Agentic business processes requires systems and platforms purpose-built for AI workloads at enterprise scale. For Australian FSI, the same principles apply. Performance at scale, security in regulated environments, cost efficiency and flexibility as agentic AI capabilities evolve — these are the foundations that enable AI transformation at scale. Read more: https://lnkd.in/g2wE8qhx
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DDN launches a turnkey AI data platform with Supermicro and NVIDIA, delivering high efficiency and ROI for enterprise and sovereign AI - https://lnkd.in/gHRWZuH4 Sven Oehme, CTO at DDN, emphasized the business-centric approach, stating, “AI success isn’t about how many GPUs you buy, it’s about how well you use them. Enterprises are tired of wasted capacity and spiraling costs." #SovereignAI #Postgres #NVIDIA #GovernmentAI #DataSecurity #AI #FedRAMP #TechIntelPro
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AI inferencing at the edge just got a major upgrade. Cloudian’s HyperScale AI Data Platform is now available on AWS Local Zones, bringing GPU-accelerated performance, S3-compatible storage, and real-time RAG capabilities within milliseconds of end users. This means: 1/ Sub-10ms latency for AI agents and document retrieval 2/ Instant access to institutional knowledge via chatbot interfaces 3/ Local data processing for healthcare, public sector, and regulated industries 4/ Zero upfront infrastructure cost with pay-as-you-go pricing Whether you're enabling field teams, scaling customer support, or deploying AI in sensitive environments, this partnership removes the barriers to edge AI adoption. - Read the full announcement and let’s talk about how this can accelerate your AI roadmap. https://lnkd.in/gHTn7s7T
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"any model, any hardware, any cloud" Red Hat's AI 3.0 strategy is not just an update; it is a bold declaration of intent. By systematically building the open, foundational plumbing for inference, agentic development, and hardware management, Red Hat is positioning itself to be more than just a participant in the AI race. It is making a highly credible, strategic bid to become the 'Red Hat' of the AI era—the indispensable, trusted, and unifying platform that enterprises will rely on to run their most critical workloads. https://lnkd.in/esqcrh8t
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Public Review: Evaluation of Google’s Private AI Compute Innovations https://lnkd.in/gmKDW-Dp Unlocking the Future of AI with Enhanced Privacy In spring 2025, Google partnered with NCC Group to elevate its Private AI Compute system. This innovative cloud solution aims to amplify mobile AI capabilities while upholding unparalleled privacy standards for user data. Key Phases of the Review: Phase 1 (April-May): An in-depth architecture review of the Private AI Compute system. Phase 2 (June-September): Detailed analyses involving: Stage 1: Cryptographic security assessment of the Oak Session Library, focusing on attestation and encryption. Stage 2: Comprehensive security evaluations including: IP-blinding relay analysis T-Log system security assessment Outbound RPC Enforcement configuration review Source code evaluation of the front-end server A dedicated team of ten consultants contributed 100 person-days to ensure robust security and usability. Curious to learn more about how these advancements shape the future of AI? Share your thoughts or connect with us! Source link https://lnkd.in/gmKDW-Dp
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