By eu.36kr.com
Publication Date: 2026-01-06 00:00:00
The advent of the large – model era has made GPU computing power a more scarce hard currency than gold. However, on one hand, enterprises are starving for computing power, while on the other hand, computing power resources are being wasted. Due to the lack of efficient virtualization management tools, the average utilization rate of GPUs globally often hovers between 10% and 20%. A large amount of video memory and computing power remains idle under the “static allocation” model.
36Kr recently learned that Dynamia.ai, a platform for heterogeneous computing power virtualization, efficient scheduling, and management, has completed its angel – round financing. This round was led by Fosun Capital, with Zhuopu Capital and seed – round investors following up. It is reported that the angel – round financing amount is several thousand yuan, and the funds will be mainly used for the construction of the HAMi open – source ecosystem and the industrialization of the heterogeneous computing power scheduling platform.
The “Fragmentation” Dilemma of Heterogeneous Computing Power
With the continuous development of domestic computing power and diverse AI chips, the internal computing power environment of enterprises has become more diverse and complex. GPUs and AI accelerator chips with different architectures and from different manufacturers coexist in the same infrastructure, posing new challenges in the management, scheduling, and utilization of computing power resources.
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