512-core AmpereOne Aurora processor with custom AI engine and HBM memory support announced

Ampere launched the 512-core AmpereOne Aurora with AI engine and HBM memory for cloud AI computing.

: Ampere Computing announced the 512-core AmpereOne Aurora processor for cloud-native AI computing. It integrates AI acceleration and High Bandwidth Memory for enhanced AI tasks. The chip employs a scalable mesh architecture and custom AI cores. It aims to compete with Intel and AMD in data centers.

Ampere Computing has introduced the 512-core AmpereOne Aurora processor, aimed at addressing the demands of cloud-native AI computing. The processor features an integrated AI accelerator and on-chip High Bandwidth Memory (HBM), providing notable efficiency and power.

The AmpereOne Aurora includes a scalable AmpereOne Mesh for seamless compute connections and custom AI IP cores, marking a first for Ampere products. The chip is designed to enhance workloads like RAG and vector databases, offering three times the performance per rack compared to prior AmpereOne CPUs.

Targeted at a variety of applications from public cloud to hyperscale data centers, the Aurora can be air-cooled, adding flexibility for deployment. Although it remains to be seen if Ampere can effectively compete with x86-64 chips from Intel and AMD, it aims to stand out with its focus on AI and cloud-native features.

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