Byte volcano engine releases large model training cloud platform: supports Vanka training and improves cluster performance by three times

CTOnews.com, April 18 news, today, Volcano engine launched a series of cloud products such as self-developed DPU at its "momentum Conference", and launched a new version of machine learning platform: it supports 10,000-card-level large model training, microsecond delay network, and flexible computing can save 70% of computing costs.

According to Volcano engine, the performance of GPU instances based on self-developed DPU is more than three times higher than that of the previous generation of clusters. Tan Dai, president of the volcano engine, revealed that "more than 70% of the dozens of domestic enterprises in the field of large models are already on the volcano engine cloud."

Photo: Tan, president of the volcano engine, announced that the volcano engine will pool with the byte beat domestic business. According to CTOnews.com, based on the internal and external unified cloud native infrastructure, the idle computing resources of Douyin and other businesses can be quickly scheduled for volcano engine customers to use. Offline business resources can be scheduled at a minute level of 100,000 core CPU, and online business resources can also be reused in tides. Elastic computing preemptive instances offer a maximum discount of more than 80% compared with conventional products.