3Q
Designed by developers for developers, 3Q is an API-first video infrastructure platform that eliminates unnecessary marketing and gives you direct control over your media backend. Whether you're developing video portals, streaming apps or custom OTT solutions, 3Q provides the programmable backbone you need. Our comprehensive REST API and native SDKs let you automate workflows, from ingestion and transcoding to AI-driven metadata extraction (speech-to-text conversion and automated chapter creation) and deployment. The 3Q HTML5 player is barrier-free and fully customisable, operating entirely without cookie consent requirements. We natively support mixed codec streaming (HEVC + AVC) in both HLS and DASH, dynamically falling back based on client capabilities. Hosted entirely on our own European bare-metal servers, 3Q helps you to avoid US vendor lock-in and privacy issues, providing a scalable, programmable video pipeline that integrates seamlessly into your existing CI/CD environments.
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RunPod
RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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AT&T Smart Cities
Fostering advancements in essential areas such as transportation, lighting, parking, security, environmental sustainability, and infrastructure is crucial. By harnessing IoT innovations, cities can significantly enhance service delivery and improve the quality of life for their residents. The application of data analytics in smart city technology plays a vital role in shaping urban planning and future developments. A strategic technological integration allows cities to minimize energy consumption, waste, and costs while promoting sustainability. This approach can lead to reduced energy usage across the entire asset portfolio. Furthermore, leveraging near-real-time IoT data can enhance operational flexibility. Through the use of big data analytics, actionable insights can be generated to inform decisions. Reliable maintenance of buildings and facilities can be achieved through predictable scheduling. Additionally, transitioning to LED lighting can significantly lower energy consumption and CO2 emissions. Centralized management, supported by near-real-time data across facilities, can streamline operations. Ultimately, a comprehensive and customizable program empowers building operators to proactively monitor and enhance efficiency, ensuring long-term sustainability and operational effectiveness. By prioritizing these strategies, cities can pave the way for a smarter and more sustainable future.
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SQLstream
In the field of IoT stream processing and analytics, SQLstream ranks #1 according to ABI Research. Used by Verizon, Walmart, Cisco, and Amazon, our technology powers applications on premises, in the cloud, and at the edge.
SQLstream enables time-critical alerts, live dashboards, and real-time action with sub-millisecond latency. Smart cities can reroute ambulances and fire trucks or optimize traffic light timing based on real-time conditions. Security systems can detect hackers and fraudsters, shutting them down right away. AI / ML models, trained with streaming sensor data, can predict equipment failures.
Thanks to SQLstream's lightning performance -- up to 13 million rows / second / CPU core -- companies have drastically reduced their footprint and cost. Our efficient, in-memory processing allows operations at the edge that would otherwise be impossible.
Acquire, prepare, analyze, and act on data in any format from any source. Create pipelines in minutes not months with StreamLab, our interactive, low-code, GUI dev environment. Edit scripts instantly and view instantaneous results without compiling. Deploy with native Kubernetes support.
Easy installation includes Docker, AWS, Azure, Linux, VMWare, and more
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