Gcore, an international provider of cloud and edge solutions, has strengthened its global infrastructure by launching a new AI Cloud cluster in Amsterdam, the Netherlands.
As more companies begin to build Artificial Intelligence applications, investing in the infrastructure required to host such applications can be a roadblock to development. Gcore’s AI Cloud is an AI-Infrastructure-as-a-Service, providing even smaller companies with the IT resources of a tech giant, enabling them to develop AI with less investment and minimal technical set-up.
“We are excited to be the cloud provider which is building the first European AI infrastructure. With our British partner Graphcore, we’re making it easier to integrate innovations for all kinds of businesses, small or large. Our second AI Cloud cluster is an important step in this journey”, comments Andre Reitenbach, CEO of Gcore.
Gcore’s AI Cloud is built with Graphcore’s ground-breaking IPUs (Intelligence Processing Units), a completely new processor specifically designed for AI computing and Machine Learning processing. These processors are twice as powerful as regular central processing units (CPUs). The IaaS model means this hardware is now available for businesses of all sizes – speciality AI hardware, previously only available to enterprise companies, can be rented by a start-up on as little as a per-minute basis.
Alongside Gcore’s existing cluster in Luxembourg, the new cloud will allow enterprises to accelerate their AI and Machine Learning development across Western Europe. Gcore, which has already built a global cloud presence in over fifteen locations around the globe, plans on further expanding the locations of its AI Cloud in the future.
Gcore cloud services mean teams all over the world can innovate faster, managing requirements like setup, technical infrastructure, storage and security. The AI cloud also gives enterprises access to software tools and integrations to support work involving ML and AI such as TensorFlow, Keras, PyTorch, Hugging Face, Paddle and ONNX.
