Dongfang Computing Core’s DF1000 chip claims 520 TFLOPS BF16 and 6.4 TB/s bandwidth
teortaxesTex · x · 2026-07-22
A post with images breaks down Dongfang Computing Core’s DF1000 AI chip: a mature 14nm design that claims 520 TFLOPS BF16 peak compute, 6.4 TB/s memory bandwidth, and 900 GB/s inter-card bandwidth.
What the company is claiming
- The chip uses a software-defined, reconfigurable architecture with a three-level dataflow model.
- It relies on 3D hybrid bonding / near-memory design to reduce the memory wall.
- The company says the effective performance gap versus newer 4nm chips is narrowed by higher utilization, not just transistor count.
Product lineup
- DF1000 accelerator cards come in air-cooled and liquid-cooled versions.
- The single-card server BF16 performance is listed at 4.16 PFLOPS for light inference and small-scale fine-tuning.
- The chip is positioned as compatible with mainstream domestic AI servers via the OAM 2.0 standard.
Related event: Domestic DF1000 Chip Claimed to Rival Hopper Performance(3 posts)→
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