Lately in September 2022, when asked about the pricing for graphics cards by Digital Trends, NVIDIA CEO Jensen Huang stated "Moore's Law is dead. The idea that the chip is going to go down in price is a story of the past".
Due to the booming of a high-tech era, companies have undergone significant changes in computing and communication platforms. One of the most crucial steps in adopting AI is to decide which deployment mode is the most suitable one when setting up the IT infrastructure for the business. Therefore, when it comes to choosing between cloud deployment and on-premises deployment, decision makers must put a lot of forethought and be strategical about it.
Many organizations are turning to artificial intelligence (AI), machine learning (ML), and deep learning (DL) to provide higher levels of value and increased accuracy from a broader range of data than ever before. They are looking to AI to provide the basis for the next generation of transformative business applications that span hundreds of use cases across a variety of industry verticals.
Demystifying the AI Infrastructure and AI Orchestration Platforms for Enterprises and Organization by AI-Stack
The global AI infrastructure market is projected to grow 27.5% from 2022 to 2027 in a CACR forecast.
Written in Cool Vendors in Enterprise AI operationalization and Engineering (Gartner, 2021), half of the large enterprises will have implemented artificial intelligence (AI) orchestration platforms as enterprises are striving to become AI initiatives. The reported number shows that within only five years, the trend of adopting AI worldwide will go up by 40% compared to fewer than 10% in 2020.