AI is touted as the biggest disruptor since the internet. It has irreversibly transformed the world as we know it. According to Grand View Research the global Artificial Intelligence market has tremendous potential and is projected to reach $1,811.8 billion by 2030. However, to unlock the true potential of AI and ML technologies, businesses must look at harnessing the power of GPUs (Graphic Processing Unit). A crucial cog in AI and ML algorithms, GPUs are optimized for parallel tasks-an essential capability when dealing with the vast datasets typical of AI and ML models.
Tracing the evolution of GPUs and what they do Initially introduced in the early 1990s to enhance video game graphics, GPUs have undergone a remarkable transformation, evolving from simple graphics accelerators to powerful processors capable of handling complex computations across a variety of fields. The evolution of GPUs has been driven by increasing demand across various industries. According to Fortune Business Insights, the global GPU market is projected to grow from USD 61.58 billion in 2024 to USD 461.02 billion by 2032 exhibiting a CAGR of 28.6%. This growth is fueled by the rapid deployment of GPUs in sectors like automotive, healthcare, finance, and entertainment.
Real the full article: Gizbot
Vinay Chhabra is the Co-Founder & Managing Director of AceCloud (an RTDS brand), a leading provider of end-to-end cloud computing solutions to global enterprises across industries at scale. As a visionary leader, Mr. Chhabra plays a crucial role in shaping the company’s strategic direction and firmly believes that organizational success hinges on investing in talent and fostering a culture of innovation. His proactive approach involves continuously exploring new opportunities and integrating emerging technologies into AceCloud’s business framework to stay ahead in a dynamic market. Read More..
