Oriental Compute Core Debuts DF1000 AI Chip With 6.4 TB/s Memory Bandwidth on July 13

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According to Security Times, Oriental Compute Core launched the DF1000 software-defined 3D AI chip in Shanghai on July 13. The chip delivers 520 TFLOPS at BF16 and reaches 6.4 TB/s of memory bandwidth, exceeding Nvidia H200's 4.8 TB/s. It uses DRAM-logic hybrid-bonded 3D packaging to address AI computing bottlenecks in memory, bandwidth, and power consumption. The company also announced server and cluster products based on DF1000 and said its software stack is compatible with mainstream deep learning frameworks. Oriental Compute Core completed an A+ funding round in April 2026 with a post-money valuation of approximately 12.3 billion yuan (US$1.82 billion).
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