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Build a cost effective machine-learning model quickly and easily AI-based applications and services continue to gain traction in the market, and this is just the tip of the iceberg. Within this revolution, the demand for AI computing environments and frameworks is significantly high. QNAP now provides a groundbreaking AI computing platform based on QNAP NAS called QuAI (pronounced "Q A I" ) - QNAP's AI Developer Package.
QNAP NAS can do more for professionals QuAI enables data scientists and developers to quickly build, train, optimize, and deploy machine-learning models with high-performance machine-learning algorithms that come with a wide range of supported AI frameworks on top of QNAP's robust NAS.
QuAI in a nutshell
QuAI is here to help QuAI is an integrated platform to empower your AI-related computing needs. QNAP NAS now supports graphics cards to provide additional computational power to help run your tasks more efficiently. On top of that, software enhancements are also provided (including NVIDIA GPU Driver and the QuAI utility) to help you deploy your solutions faster than ever.
Major frameworks and libraries are supported through Container Station (1.8 and later), such as Caffe, MXNet, TensorFlow, CNTK and NVIDIA CUDA. You can easily migrate existing containerized solutions to the QuAI platform, or start a new one with QuAI, to fully realize benefits of cognitive technologies.
Advantages of QuAI In lieu of traditional solutions, QuAI provides powerful hardware/software support and better cost controls. You can achieve a lower total cost of ownership (TCO) and attain higher flexibility by deploying QuAI for your AI projects.
QuAI offers a reduced TCO compared with conventional workstations and public cloud services. Overall you'll get higher cost efficiency and easier control of your spending.
With QNAP NAS, you can easily set up your storage in no time and deploy ML/DL solutions with guidance offered by the QuAI app*.
*The QuAI app is a utility that guides users through setup processes of the QuAI platform.
QNAP NAS supports high storage capacities with flexible scalability. As your training data is also stored inside the processing unit, you also save on bandwidth and other associated costs.
By using Qtier, QNAP's exclusive auto-tiering storage solution, disk access efficiency can be greatly improved to accelerate your data analysis and training processes.
By using Container Station to deploy your ML model, you can easily create a new one or quickly migrate your existing one onto QNAP NAS, and get started with AI right away.
QNAP NAS offers a complete app-driven ecosystem to help you in the training process. This includes data ingestion, image capturing, IoT connectivity, and much more.
Buy Qnap NAS for AI & Machine Learning from NAS Experts in UK with Global shipping- FREE ✓BUILD ✓RAID ✓TEST ✓BUSINESS QUOTES | SPAN.COM ☎Call for pricing 020 8288 8555 firstname.lastname@example.org ✓Free Advice ✓Lowest Price often available