SpiNNcloud’s Post

Live from #IBMThink 2026 in Boston, RedMonk’s co-founders James Governor and Stephen O'Grady share their key takeaways from the event. They discuss the growing case for matching the right model to the right task, noting that enterprises won’t sustain the “token-maxxing” mentality of spending thousands per day on frontier models. They unpack IBM’s #AI operating model as a useful framework for organizing the sprawl of projects, libraries, and components shaping enterprise AI. They also highlight quantum computing’s emerging real-world impact, including Cleveland Clinic’s work with IBM quantum systems to advance biomedicine. https://lnkd.in/ekgUQm4v

The future of computing is moving beyond traditional architectures. In-memory computing is redefining high-speed processing by minimizing data movement, reducing latency, and unlocking unprecedented efficiency for AI, machine learning, and data-intensive applications. #InMemoryComputing #AIHardware #HighPerformanceComputing #MachineLearning #ArtificialIntelligence #Semiconductor #TechInnovation #FutureOfComputing #HardwareArchitecture 🔗 https://lnkd.in/gBWpGTVu

Owning the Next Layer of AI Infrastructure Kopin CEO Michael Murray sat down with Ryan Faloona of Benzinga to discuss the shift redefining AI at scale. As workloads grow, the constraint is no longer compute. It’s how data moves. In the conversation, Michael breaks down how Neural I/o™, co-developed with Fabric.Ai, is designed to address this challenge, using MicroLED-based optical interconnects to enable faster, more efficient, and more scalable data movement across AI systems. From infrastructure bottlenecks to next-generation architectures, this is about more than performance. It’s about reshaping how AI is built. Watch the full conversation: https://shorturl.at/SjxHv #KopinTech #ArtificialIntelligence #AIInfrastructure #DisruptiveTech #AugmentedReality

#DropMeAMessage #LetsMeetUp At Computex this year, the Compal ISBU team is thrilled to showcase how we are powering the next generation of high-performance AI factory. We are moving beyond standalone hardware to deliver a fully integrated turnkey solution for the AI era. ❄️ Next-Level Cooling Innovations: State-of-the-art liquid and thermal management solutions designed to keep your high-density racks running efficiently at peak performance. ⚡ Advanced Power Delivery: Engineered to meet the extreme, high-density wattage demands of tomorrow's accelerators. 🚀 The AI revolution isn’t just about the silicon—it’s about the underlying architecture that brings it to life. #Computex2026 #AI #AIInfrastructure #Compal #DataCenter #LiquidCooling #ContainerDC

Tomorrow, we’ll be at DeepTech.build. While much of the industry is racing to build larger models, we’re focused on something different: AI infrastructure that works under real-world constraints. At nextX AG, we develop deterministic systems designed for environments where: • compliance matters • outputs must be reproducible • black boxes are not acceptable • cloud access isn’t guaranteed • scaling cost linearly is not sustainable Here’s what we’re bringing to the conversation: CORE™ — deterministic knowledge infrastructure Auditable reasoning. Reproducible outputs. No hallucination-driven workflows. COMPRESS™ (AQEA) — semantic compression & steering Up to 320× embedding compression without losing structural meaning. Control over retrieval behavior through semantic lenses. CRONOS™ — zero-training temporal intelligence Deterministic time-series analysis. Validated across 13 domains. Edge-ready. Air-gapped deployable. SCIENTIFIC™ — reproducible AI research & discovery Evidence-backed computation. Signed knowledge bundles. Infrastructure for serious research environments. We are not building another model. We are building the layer beneath models. If you’re at DeepTech.build and working on regulated AI, industrial systems, edge deployment, or infrastructure-grade intelligence — let’s connect. Deep tech isn’t about more parameters. It’s about better structure. https://lnkd.in/e-ftEEnV #DeepTech #nextX #AQEA #CRONOS #DeterministicAI #EdgeAI #AIInfrastructure

The Future of the Internet: AI, Edge Computing, and Web3 The internet is evolving with technologies like artificial intelligence, edge computing, and decentralized systems. Discover how these innovations may shape the next generation of web platforms and di Read more → https://lnkd.in/daEdex86 #TheCampusCoders #Tech #Developers #WebDev

The Future of the Internet: AI, Edge Computing, and Web3 The internet is evolving with technologies like artificial intelligence, edge computing, and decentralized systems. Discover how these innovations may shape the next generation of web platforms and di Read more → https://lnkd.in/daEdex86 #TheCampusCoders #Tech #Developers #WebDev

🌐 Exciting news for the AI community! 🚀 A new research paper from NVIDIA Research has made a groundbreaking discovery that could revolutionize the way we handle large-scale AI models. By integrating speculative decoding directly into NeMo RL with a vLLM backend, they've achieved lossless rollout acceleration at both 8B and projected 235B model scales! 💥 This means faster training times, reduced costs, and quicker deployment of AI models in business operations. Imagine cutting your end-to-end training time by up to 2.5x with a single innovation! This breakthrough could be a game-changer for tech leaders looking to scale their AI initiatives efficiently. 📈 Stay ahead of the curve and read more about this groundbreaking research on <a href="https://lnkd.in/dvcR4EeK">MarkTechPost</a>. 🔗 #AIInnovations #NVIDIA #NeMoRL #MachineLearning #DeepLearning #TechLeadership #ScalingAI #PerformanceBoost #ArtificialIntelligence

Why Humans Are Still More Cost-Effective Than AI Compute...The economics of AI don’t always match expectations. High compute, infrastructure, and reliability costs mean human labor remains the more cost-effective option across many real-world tasks. https://ow.ly/gtJU50YUFRS