Artificial intelligence (AI) is transforming the world and finding its place in many aspects of our life, like engineering, medicine and others. AI has made GPU servers useful for heavy-computing tasks such as machine learning – with MaxCloudON GPU servers it is fast and easy to do many jobs at the same time.
Machine learning (ML) is the use of algorithms to mimic the way humans learn. It is part of AI programs, and it helps with big data analytics and statistical models, speech and image recognition, data clustering and other workloads requiring fast and reliable differentiation of objects based on a set of characteristics. Machine learning makes it easy to collect vast amounts of data generated by systems and sensors, and with the help of MaxCloudON GPU servers, the collected information can be quickly evaluated using various models and algorithms. ML can be widely used in many industrial fields, it can help you to optimize your processes, transport or delivery operations, monitoring product quality, etc.
If you are new to machine learning you probably are wondering “What hardware specifications does my computer or server need to run machine learning?”.The short answer is “With a lot of GPUs and VRAM”. You need as many cores as possible at the best speed and the most VRAM you can afford. The more Cores you have, the more questions you can answer at the same time, and the faster they go, the more cycles you can do. The bigger the VRAM cache, the bigger the data massive you can work. For the longer and more detailed answer read our article ”What server do I need for machine learning”
We offer various configurations of GPU Servers, usually with 60 GB RAM, VRАМ depends on the number of video cards and up to 1000 GB NVMe SSD. There is no limit and fees about Bandwidth. Depending on your project and tasks you can choose the best GPU server for you. We can do customizations, but under certain terms and conditions, which usually includes prepayment for a longer time period of time.