Reports
AI-generated structured vendor updates
NVIDIA Vera Rubin NVL72 Enters Production, 10x Energy Efficiency Reshapes AI Infrastructure
NVIDIA has announced full production of the Vera Rubin NVL72 platform, with first shipments to CoreWeave, Microsoft, Amazon, and Oracle. Each rack integrates 72 Rubin GPUs and 36 Vera CPUs, delivering 10x improvement in energy efficiency and inference cost over Blackwell for agentic AI workloads, marking a new era of rack-scale AI infrastructure.
Tiered AI Chip Market Emerges as US Allows H200 Exports to China with 25% Levy
The US Commerce Department approved NVIDIA H200 exports to China with a 25% sales tax, while maintaining a ban on Blackwell. This formalizes a tiered AI chip market, making H200 the best available imported chip for China, but the performance gap and added tax burden increase deployment costs and complexity for Chinese AI infrastructure.
华为昇腾950超节点亮相WAIC 2026，单柜64卡支持8192卡高速互联
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Moonshot AI Launches Kimi K3: 2.8T Parameter Open-Source MoE Model at $3/$15
Moonshot AI unveils Kimi K3, a 2.8T parameter open-source MoE model with 896 experts (16 active), native vision, and 1M context. API pricing at $3/$15 input/output per million tokens undercuts rivals. Open weights release July 27. GPU capacity exhausted within 2 days. Arena score 1679 tops Fable 5.
Huawei Ascend 950 Supernode: Self-Developed HCCS Interconnect for Sovereign AI Compute Ecosystem
Huawei unveiled the Ascend 950 Supernode at WAIC, integrating 32 self-developed Ascend 950 AI processors with HCCS high-speed interconnect, achieving 2.5x compute density and supporting trillion-parameter model training, offering a sovereign AI compute alternative free from overseas supply chains.
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 Atlas 950 SuperPoD & 灵衢2.0: A Systemic Pivot in China's AI Compute from Chip to Cluster
At WAIC 2026, Huawei publicly demonstrated the Atlas 950 SuperPoD, a 1024-ascend NPU card cluster, and unveiled the 灵衢2.0 high-speed interconnect protocol. This signals a strategic shift in China's AI infrastructure from single-chip to system-level leadership, creating a closed-loop ecosystem that directly challenges NVIDIA's NVL series dominance.
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.