Telcos, get ready for the next wave of AI adoption that is pushing inference closer to where data is generated—at the edge. Learn about building an edge inference stack, multi-tenancy needs, and a reference architecture on NVIDIA + aarna.ml. 🔗Read the blog.
How Telcos Can Leverage Edge AI with NVIDIA and aarna.ml
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🚀 NVIDIA Blackwell: setting a new standard in GPU architecture The specs are nothing short of revolutionary: • 2.5× faster training and 4× inference efficiency vs Hopper • 192 GB HBM3e memory with 8 TB/s bandwidth • 208 billion transistors in a dual-die design (Hopper = 80B, single die) • Supports trillion-parameter models at unprecedented scale ⚡ Analysts estimate OpenAI could save $1.43M per o3 evaluation cycle on Blackwell. For engineers, researchers, and ML teams: Blackwell isn’t just an upgrade — it’s the new baseline for scaling AI. Blackwell will beat anything AI-related in terms of costs and efficiency. You can reserve a cluster right now: https://lnkd.in/dVi5EizB
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At AI Infrastructure Field Day, Mirantis delivered a clear message: owning GPUs isn’t the same as profiting from them. With k0rdent, the company introduced a composable, declarative platform that transforms idle GPU clusters into revenue-generating infrastructure. By combining Kubernetes orchestration, AI workload automation, and real-time observability, k0rdent enables enterprises to turn costly hardware into scalable AI services. The result is faster time-to-market, improved utilization, and a clear path from investment to impact. See how Mirantis is redefining AI infrastructure economics: https://buff.ly/gvjXoUf #AIInfrastructure #GPUCloud #Mirantis #TechFieldDay #AI
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More exciting news! Oracle and AMD expand their partnership to help customers achieve next-generation AI scale. The collaboration marks a major milestone in accelerating large-scale AI computing, with an initial deployment of 50,000 GPUs beginning in calendar Q3 2026 and expanding through 2027 and beyond! #AMDBrandAmbassador
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The Zettascale10 is built on Oracle's Acceleron RoCE networking infrastructure and uses Nvidia AI infrastructure, which is also the fabric underpinning the OpenAI Stargate cluster in Abilene, Texas. https://lnkd.in/gFhs_HEi
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Why the massive shift? AI workloads demand extreme scalability, portability for models, and efficient management of expensive hardware like GPUs. Kubernetes provides the perfect foundation for all three. It’s becoming the universal "operating system" for AI. Our recent inclusion in the Gartner® Magic Quadrant™, we feel, acknowledges our focus on providing the robust, automated, and scalable platform that is essential for building this AI-ready infrastructure. The future of AI is being built on Kubernetes, and we’re here to help you build it right. Get the full Gartner® Magic Quadrant report to understand the trends shaping AI infrastructure: https://hubs.li/Q03JWGCY0
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Day 1 of #OracleAIWorld redefines “AI changes everything.” ⚡ Zettascale10 Cluster: World’s largest cloud AI supercomputer, up to 800K NVIDIA GPUs, 10× zettascale performance. 🌊 Autonomous AI Lakehouse: Open multicloud platform combining Autonomous AI Database & Apache Iceberg. 🧠 AI Database 26ai: AI built into the core database with LLM, MCP, ONNX support & quantum-safe security. 🚀 AI Data Platform: Unites OCI, Autonomous AI DB & GenAI to turn enterprise data into production-grade AI. The future is here, and it’s running on Oracle. #oracle #aiworld
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