- October 20, 2020
Graphics giant – NVIDIA firstly introduced CUDA (Compute Unified Device Architecture) powered GPUs in 2006. This breakthrough enabled GPUs that originally focused on graphic processing to obtain general computing capabilities and to have more powerful performance in parallel processing than CPUs. Today, along with the booming of AI, which has higher requirement for general computing capabilities, NVIDIA is shaping up to be one of the most powerful leader in ‘Age of AI’. At this GTC 2020, NVIDIA is further expanding its ambition of becoming a full stack AI computing company by introducing a variety of chips and AI applications in data centers, edge AI, collaboration tools, and healthcare, and outlined a US$100bn TAM for its data center business by 2024, with US$10bn for HPC, US$45bn for AI platforms, US$30bn for enterprise AI, and US$15bn for edge AI, respectively.
