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On May 7th, the AI software company InfinitiesSoft announced the completion of a new funding round totaling NT$120 million. Investors include Compal Electronics, Delta Electronics subsidiary Delta Capital, Industrial Technology Research Institute (ITRI) subsidiary Industrial Technology Investment Corporation (ITIC), and Hsin Sheng Capital.
InfinitiesSoft CEO Wen Yu Chen stated that this round of funding will be utilized to accelerate collaborations with international industry leaders, thereby expanding market presence across Asia and globally.
The emergence of Generative AI accelerates the rapid development of the AI industry. However, GPU productivity and computing power are the key components determining AI development, and InfinitiesSoft’s product AI-Stack is the solution.
The AI-Stack possesses software technologies for AI development to deployment, along with self-developed techniques such as GPU slicing, GPU fusion, and multi-node GPU computing, enabling enterprises to quickly get started and seamlessly integrate development tools, saving time in deploying AI environments. Its most significant feature lies in its ability to intelligently allocate GPU computing power.
For example, in the past, it required manual arrangement of GPUs to run three sets of AI models, A, B, and C, at different times. However, AI-Stack automates this workflow, scheduling subsequent operations for B and C immediately after the computation of the A model, maximizing GPU efficiency. The practical benefits include a threefold increase in GPU utilization, enabling a single GPU to run over 20 workloads simultaneously, reducing deployment time to 1%. As a result, it became the first NVIDIA Solution Advisor certified partner in Taiwan, serving clients across semiconductor, finance, manufacturing, healthcare, transportation, research institutions, and data centers.
At this point in time, securing investment reflects the keen interest of major investors in AI and their optimism towards digital infinity. Wen Yu Chen hopes that through AI-Stack, enterprises can significantly save time and costs, aiding them in achieving AI transformation.
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