G-Core Labs, an international provider of cloud and edge solutions based in Luxembourg, has announced the launch of an artificial intelligence (AI) platform that helps speed up the development of AI-based applications.
The AI platform is part of the company's public cloud and allows business and development teams to significantly reduce the time-to-market of their applications based on AI. It supports a full machine learning cycle of any complexity, allowing users to organise continuous delivery of models, collaborate on them in real time and access a catalogue of ready-made templates and models.
The platform is currently based in Luxembourg. In the future, G-Core Labs plans to deploy it in all existing and promising regions of presence of the company's public cloud, including the USA, Germany, Russia, Singapore, Brazil and Australia.
Vsevolod Vayner, G-Core Labs head of cloud platforms, commented: "The G-Core Labs AI platform is a single comprehensive portal for the accelerated building, training and deployment of applications based on artificial intelligence. The platform works on the one-stop-shop principle so that any developer can fully concentrate on the development of their ML models and services without worrying about preparing infrastructure, purchasing necessary software, getting set up, and providing frameworks, data storage systems, and technical support for all these elements. Thanks to this, according to our estimates, companies and teams that work on products and models based on machine learning can speed up development 2–3 times in comparison to if they had to set up the entire infrastructure on their own".
The AI platform integrates all modern solutions for receiving and processing data: Kafka; Storm; Spark; PySpark; PostgreSQL; MS SQL; Oracle; MongoDB. It has data exploration and visualisation tools, such as Matplotlib, Seaborn and TensorBoard, along with several development tools: Jupyter, PyCharm, Visual Studio Code, GitLab, GitHub, RStudio, XCode and Airflow.
The G-Core Labs AI platform supports Python, R, Swift and JavaScript programming languages. It facilitates work involving Spark, Hadoop, PostgreSQL and Vertika data platforms, as well as machine learning and AI solutions including TensorFlow, TensorRT, OpenVINO, Keras, fast.ai, PyTorch and BigDL.
The platform is expected to open up opportunities for projects related to the recognition of people, images, objects and documents. Such applications could be useful in the retail, finance, insurance and media industries, in addition to the fields of healthcare and public safety.
Vsevolod Vayner added: "G-Core Labs development teams are currently working on AI-based products that allow an Internet user or a TV viewer, for example, to receive information in one click about the actors and landmarks in the frame, the players on a basketball court or football field, or the dress or watch an actor is wearing. This will provide great, new opportunities for advertisers".