Shanghai, China, December 12, 2019, Enflame Technology announced their first product CloudBlazer T10. At the same time, a new high-performing deep learning accelerator solution for data center training is available. The accelerator’s core Deep Thinking Unit (DTU) is designed to deliver fast, power-efficient data processing for cloud-based AI training platforms. Previously, China Zhongji Investment joined the firm's Series A round.

The Enflame Cloudblazer T10 uses a Deep Thinking Unit (DTU) on GF’s 12LP FinFET platform with 2.5D packaging, and has more than 14 billion transistors. It uses PCIe 4.0 and Enflame Smart Link for communication. The AI accelerator supports a wide range of data types, including FP32, FP16, BF16, Int8, Int16, Int32 and others.

Based on a reconfigurable chip design approach, Enflame’s DTU computing core features 32 scalable intelligent processors, with 8 SIPs combined into 4 scalable intelligent clusters (SICs). The enhanced technology offers high bandwidth memory (HBM2) integrated through 2.5D packaging, with an on-chip configuration algorithm to achieve fast, power-efficient data processing.