Björn H. Klinzing’s Post

AI shouldn't be a "CUDA-only" club. 🔓💻 For too long, high-performance AI development has been synonymous with a single hardware ecosystem. But the future of Synthetic Intelligence belongs to flexibility, not vendor lock-in. I’ve been heads-down building AzerClaw, it’s not a fork of the OpenClaw project. My focus? Creating a seamless bridge for serving high-throughput models on AMD hardware or NVIDIA GTX or RTX using OpenCode. By optimizing the stack for AMD’s Developer Cloud, we’re proving that you can achieve enterprise-grade inference without the standard bottlenecks. No-Cost and secure.🔒 The goal: True hardware-agnostic AI orchestration. Because the best model in the world is useless if you can't run it where you want, how you want. #OpenSource #AMD #vLLM #ArtificialIntelligence #AzerClaw #CloudEngineering

Just published on AI Tech Connect 👇 📌 Neysa's $1.2B Series B: India's CoreWeave Moment Has Arrived Blackstone leads a $600M equity stake in Neysa, the Indian AI GPU cloud deploying 20,000+ NVIDIA GPUs — India's first sovereign-scale compute infrastructure play. Read → https://lnkd.in/gBzgyxGP #AINews #ArtificialIntelligence #AIBuilders #VerifiedBuilders

NVIDIA just dropped 3 AI models in 1 open checkpoint — 360x cheaper to train,2.4x faster inference ⚡ No fine-tuning. No cloud bill. Runs on a desktop GPU. 👉 Follow + comment 'ELASTIC' for the full breakdown & HuggingFace link 🔥 #ai #opensource #aitools #nvidia #llm #sovereignai #fyp

Nvidia's earnings are dropping Wednesday! Their data center GPUs, like the H100 and A100, are basically flying off the shelves. Cloud providers and AI builders can't get enough, leading to 100%+ year-over-year revenue growth. This isn't just growth; it's a "constantly re-rated upwards" kind of growth! 🚀💰📈 #nvidia #nvda

AI sales assistants can already analyse customer data, market trends and competitor insights in seconds. The real challenge? Moving from idea… to something your teams can actually use. Dell Pro Max with GB10, built on the NVIDIA Grace Blackwell superchip, lets your developers build and refine AI models locally — with speed, control and no reliance on cloud GPUs. And with Dell AI Factory with NVIDIA, those models scale seamlessly into your enterprise. See how it works https://del.ly/6045BBllN9 #iwork4dell

AI sales assistants can already analyse customer data, market trends and competitor insights in seconds. The real challenge? Moving from idea… to something your teams can actually use. Dell Pro Max with GB10, built on the NVIDIA Grace Blackwell superchip, lets your developers build and refine AI models locally — with speed, control and no reliance on cloud GPUs. And with Dell AI Factory with NVIDIA, those models scale seamlessly into your enterprise. See how it works https://del.ly/6048BBtMBo #iwork4dell

AI Landscape Decoded: From NVIDIA Chips to Node Mastery: The AI world is moving fast from local "Offline" models to the new "Omni" multimodal era. But why do we need high-end GPUs, and why is NVIDIA the undisputed king?In this carousel, I break down: •Offline vs. Cloud: Why privacy is the new luxury. •The GPU Crisis: What’s driving the prices and the power of CUDA. •One-Click vs. Nodes: Why tools like ComfyUI offer the "Total Control" that Midjourney can't. Whether you're a creator or a consumer, understanding the hardware and the workflows is the key to staying ahead. 🚀 #AI #NVIDIA #GenerativeAI #ComfyUI #TechTrends #MachineLearning

Why "Renting" Intelligence is a 2024 Strategy. 📉 ➡️ 🏠 As we move into mid-2026, the cost of scaling AI "Agent Swarms" in the cloud has become the new "Cloud Tax." If your organization is running production-level inference, the math has changed. Our On-Premises LLM Server, now powered by the NVIDIA RTX 5060 (Blackwell), offers a definitive path to AI sovereignty. 💡 The Blackwell Advantage for Enterprise: 📈 Native NVFP4 Support: Leveraging Blackwell’s 5th Gen Tensor Cores, we run 4-bit quantization natively. This delivers a 1.6x throughput boost over previous generations with zero "intelligence" loss. 💰 Predictable ROI: At current 2026 token rates, high-volume users hit the hardware breakeven point in just 4 months. After that, your cost per 1M tokens drops by up to 200x (electricity only). 🧠 GDDR7 Memory: Higher bandwidth means your local models (like Llama 4 or Mistral) respond with the snappiness of a local app, not a buffered web service. ✅ Agentic Ready: Built for multi-step reasoning loops that require low-latency, high-concurrency processing without the "internet hop." Ownership is the ultimate competitive advantage. Move your AI from a variable expense to a strategic asset. Ready to see the 2026 Benchmarks? Let's connect. 🤝 #Blackwell #AIInfrastructure #OnPrem #RTX5060 #DataSovereignty #Llama4

Neoclouds and sovereign AI cloud operators using the Rafay Platform can deliver token-metered access to NVIDIA NIM microservices on multi-tenant GPU infrastructure from day one. This is what separates AI factories from commodity GPU providers. With the Rafay Platform's NVIDIA AI Cloud-Ready validation and NVIDIA Infra Controller, operators get an API-driven stack to turn GPU capacity into token-based revenue as soon as infrastructure comes online. Read the full announcement: https://lnkd.in/gRwdGvpW

NVIDIA Nemotron 3 Nano Omni is now live on Jetson AI Lab! This new multimodal model brings vision, audio, and language together in one powerful system — all running locally, no cloud needed. You can run it with Ollama, vLLM, and other inference tools on NVIDIA Jetson hardware. https://bit.ly/4n56kFw