Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.
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SurveyLegend is the next generation of online surveys — engaging, platform-independent, & beautiful. We empower companies - large & small - & individuals, to create mobile-friendly, gorgeous surveys.
Create great-looking surveys, forms, polls, voting, questionnaires, NPS, customer satisfaction, customer experience, employee satisfaction surveys... on your computer or tablet, customize the look of your survey however you like, & display collected data with eye-catching and insightful graphics.
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SurveyLegend has users all over the world, from amazing companies like L'Oréal, Universal, Harvard, Greenpeace, Airbnb, Sony, CocaCola, Roche, to awesome start-up companies and individuals.
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Nexthop NOS
Nexthop AI’s software portfolio is part of a broader infrastructure platform designed to build highly efficient networking systems for large-scale artificial intelligence and cloud environments. It focuses on creating tightly integrated networking hardware and solutions that support the demanding requirements of hyperscale data centers used for AI training and inference workloads. Rather than offering generic networking products, Nexthop works closely with cloud operators to co-develop customized infrastructure tailored to their specific deployments, including network operating systems, switching hardware, optical and electrical interconnects, and software components optimized for large AI clusters. Its stack is designed to integrate with open network operating systems such as SONiC while adding reliability, performance tuning, and operational features needed for hyperscale environments.
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