GSI Technology announces publication of paper on APU CIM architectures

GSI Technology (GSIT) announced the publication of a paper led by researchers at Cornell University. Findings confirmed that GSI Technology’s APU CIM architectures can match GPU-level performance for large-scale AI applications with a dramatic reduction in energy consumption due to high-density and high-bandwidth memory associated with the CIM architecture. Key findings include: GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a GPU over various large corpora datasets, underscoring its efficiency and sustainability. Faster and more efficient than CPUs – The APU’s unique design allows it to perform retrieval tasks several times faster than standard CPUs, shortening total processing time by up to 80%.