https://ayedo.de/en/tags/gpu-infrastructure/ Recent content in Gpu-Infrastructure on ayedo Hugo en-US Thu, 19 Feb 2026 10:46:06 +0000 https://ayedo.de/en/use-cases/machine-learning/ Thu, 19 Feb 2026 10:46:06 +0000 https://ayedo.de/en/use-cases/machine-learning/ <p><img src="https://ayedo.de/use-cases/machine-learning/machine-learning.png" alt=""></p> <h2 id="from-gpu-bottlenecks-to-industrial-scale-mlops-how-ayedo-led-sensoriq-to-a-kubernetes-based-ml-platform">From GPU Bottlenecks to Industrial-Scale MLOps: How ayedo Led Sensoriq to a Kubernetes-Based ML Platform</h2> <p>Predictive Maintenance sounds like &ldquo;train a model and you&rsquo;re done.&rdquo; In practice, many projects fail not because of the model, but because of what comes after: data streams, inference SLAs, reproducible experiments, and an infrastructure that scales without each new customer project triggering a new operational project.</p> <p>Sensoriq develops AI-based solutions for the manufacturing industry. The software analyzes sensor data in real-time and predicts failures before they occur. The product consists of edge components at the machine, a streaming pipeline, and a cloud platform for training, inference, and visualization.</p>