How to build license plate detection and recognition with DeGirum PySDK and Hailo

How much faster could your workload run?  Fujitsu’s AI computing broker (#ACB) plugs into your existing PyTorch/TensorFlow stack—no code modification needed—to monitor kernel calls and reassign GPUs in real time, whether on-prem or in the cloud. One workload saw 2.7x faster throughput.  🔗Discover how in our latest white paper:  Accelerating AI Development with Fujitsu’s AI Computing Broker-https://lnkd.in/gVjsNuyg

🚀 DECICE AI Scheduler heads to FTC 2025! We’re proud to announce that our paper, “Design and Implementation of Integrated AI Scheduler for Dynamic Cloud Workloads Allocation in Kubernetes Environments”, has been accepted for presentation at the Future Technologies Conference (FTC) in Munich this November. This innovation—developed within the DECICE project—introduces an AI-powered approach to smarter workload scheduling across the compute continuum, from edge to cloud to HPC. 🔗 https://lnkd.in/d8-YhH-P #AI #CloudComputing #Kubernetes #HPC #SmartScheduling #FTC2025 #DECICE #EUResearch #DigitalInfrastructure

🚀 Exciting news! Seeweb are now among the supported providers on SkyPilot! SkyPilot is an open-source framework that simplifies running workloads on distributed #GPUs, providing a unified interface to manage resources across multiple cloud providers. With SkyPilot, users can scale their machine learning models and #AI applications efficiently and seamlessly. 💡 Why SkyPilot? #Simplicity: SkyPilot makes using GPU as a Service (GPUaaS) incredibly easy, allowing users to focus on their work without worrying about infrastructure. #Flexibility: Supports multiple cloud providers, including us. #Efficiency: Optimizes resource usage, reducing costs and boosting performance. A special thanks to Francesco Massa for leading the integration, making this possible! We work hard every day to make #AI accessible and easy to use. Antonio Baldassarra Daniele Vona Chiara Grande Andrea Graziani Andrea Nardoni Alex Massaroni https://lnkd.in/dnfkVnRa #AI #CloudComputing #Innovation #SkyPilot #GPUaaS #GPU

#SkyPilot simplifies and optimizes the deployment and management of #machinelearning and #artificialintelligence workloads across multiple cloud environments. It acts as an abstraction layer and enables its users to manage ML models seamlessly across various cloud providers. 🔵 As a supported #provider, Seeweb can offer its cloud computing services through SyPilot, contributing to multi-cloud strategy projects implementation. 🔜 Soon, this integration will be visible on Skypilot's official documentation! Francesco Massa Marco Cristofanilli Zhanghao Wu Andrea Graziani Chiara Passarelli Daniele Vona

🚀 From Spinning Disks to NVMe: The Future of Storage Storage technology is evolving faster than ever. Traditional spinning disks served us well, but as data demands grow, businesses need solutions that deliver more speed, efficiency, and reliability. That’s where NVMe comes in. 💡 Key takeaways from our latest video: HDDs are cost-effective but becoming obsolete. NVMe delivers lightning-fast read/write speeds with no moving parts. Low latency makes NVMe ideal for real-time analytics, AI, and cloud workloads. Falling costs mean NVMe is set to become the new industry standard. 👉 If your business processes large amounts of data, NVMe isn’t just an upgrade — it’s the future. 📺 Watch the full video to sharpen your storage knowledge and stay ahead of the game: https://lnkd.in/gVDRnvk5 #NVMe #StorageSolutions #DigitalTransformation #EnterpriseIT #FastLaneTraining

n8n finally did it. Just released their own prompt workflow generator. Login to n8n, describe your automation or AI agent,  and it builds it for you, right there in the canvas. Before this, you needed Claude Code, Sonnet 4.5,  and the n8n MCP server to make it work. Now? Just type what you want. The AI builds your workflow on the canvas. Adds nodes. Configures connections. Lays out the structure. Refine it and go live. Update to version 1.115.0 or later on n8n Cloud at n8n.io to try it. (not available for self-hosting yet) What automation have you been putting off building? #n8n #Automation #AI 

Laboratories are no longer just physical spaces. They’re connected ecosystems powered by AI, cloud computing, and data-driven decision-making. In “25 Technologies Propelling the Lab of the Future,” R&D World explores the tools that are enabling everything from predictive diagnostics to real-time collaboration. If you're navigating digital transformation or future-proofing your infrastructure, this eBook is essential reading. Get it here: https://lnkd.in/eYABHmwf | maxon maxon USA

Laboratories are no longer just physical spaces. They’re connected ecosystems powered by AI, cloud computing, and data-driven decision-making. In “25 Technologies Propelling the Lab of the Future,” R&D World explores the tools that are enabling everything from predictive diagnostics to real-time collaboration. If you're navigating digital transformation or future-proofing your infrastructure, this eBook is essential reading. Get it here: https://lnkd.in/eYABHmwf | maxon maxon USA

The landscape of AI inference is rapidly evolving, with organizations seeking cost-effective solutions that don't compromise on performance or control. While cloud providers offer convenient managed services, they often come with premium pricing and limited customization options. On the other hand, on-premises deployments provide control but require significant hardware investments. A hybrid approach offers the best of both worlds: maintaining local control over your inference pipeline while leveraging cost-effective remote GPU resources. This blog post demonstrates how to implement such a system using LiteLLM as a local proxy and Vast.ai for remote GPU hosting.