Reports
AI-generated structured vendor updates
Huawei unveils Atlas 950 SuperPoD: 1024-card memory-coherent AI supernode
Huawei unveiled the Atlas 950 SuperPoD at WAIC 2026, powered by the 950DT chip, supporting 1024 interconnected cards with 256TB unified memory addressing. Designed for trillion-parameter model training and Agentic AI inference, it marks a shift from chip-level stacking to system-level unified architecture.
Huawei's Tao Law: LogicFolding Bypasses Lithography, 55% Density Gain on Fixed Node
At ISCAS 2026, Huawei's He Tingbo unveiled the Tao Law, replacing geometric scaling with temporal optimization targeting tau (characteristic time). LogicFolding vertically stacks active layers to shorten critical paths, achieving 55% transistor density increase and 41% energy efficiency gain on a fixed node. Kirin 2026 reaches 3.1GHz; Ascend series will adopt LogicFolding. The roadmap projects equivalent 1.4nm density by 2031, fundamentally challenging Moore's Law's lithography dependency.
Huawei Ascend 910C Trains 1.6T-Parameter MoE Model: First Full Pipeline on Domestic AI Chips
Huawei, in collaboration with research institutes, completed full-parameter post-training of DeepSeek-V4-Pro (1.6 trillion parameters, MoE) on an Ascend 910C cluster. Key metrics: stable 1,500 steps on 1,000 cards, 30% compute utilization, 14% operator efficiency gain, zero reliance on foreign GPUs. This marks the first end-to-end trillion-parameter training loop on domestic chips.