Reports
AI-generated structured vendor updates
DeepSeek Claims China Will Phase Out NVIDIA in One Year with Huawei Ascend 950 and Self-Developed Tile Language
DeepSeek founder claims China will phase out NVIDIA within a year, with Huawei Ascend 950 SuperPod matching GB200/GB300 performance. DeepSeek is developing its own inference chips and Tile Language to reduce CUDA dependency, marking a critical shift from import substitution to an independent AI compute ecosystem.
Alibaba Cloud Unveils Agent-Native Suite and Open-Source SAIL Stack to Rival CUDA
At WAIC 2026, Alibaba Cloud launched its Agent-Native cloud suite (AgentLoop, AgentTeams, AgentRun, TokenWorks), open-sourced the T-Head SAIL AI software stack, and unveiled the 2.4T-parameter Qwen 3.8-Max-Preview model and Zhenwu M890 supernode, marking a comprehensive push into agent-native cloud and open-source AI ecosystem.
AMD Unveils Zen 6 Venice, MI455X, and Helios Rack-Level Design to Challenge NVIDIA
At Advancing AI 2026, AMD launched Zen 6 EPYC Venice (2nm, up to 256 cores) and MI455X (CDNA5, 432GB HBM4, 40 PFLOPS FP4), along with Helios rack reference design (2.9 exaFLOPS FP4 per rack), claiming a 1000x AI performance roadmap, with major commitments from Meta, OpenAI, and others.
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.
HPE Expands Private Cloud AI with NVIDIA Vera Rubin, Enabling Agent-Native AI Factory
HPE expands its Private Cloud AI line with NVIDIA Vera Rubin NVL72 and HGX Rubin NVL8, introducing Compute XD700, Cray GX240 blade with Vera CPU, and Quantum-X800 InfiniBand. New software includes Agent Toolkit and NemoClaw for agent-native AI, with Alletra Storage MP X10000 in Q4 2026.
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 950 SuperPoD: 1024 NPUs with 256TB Unified Memory Redefines AI Compute
Huawei unveiled the Ascend 950 SuperPoD at WAIC 2026, featuring 1024 NPUs per cabinet with 256TB unified memory and 3μs latency. This system-level innovation compensates for process limitations, scaling to 500,000 NPUs for trillion-parameter model training, shifting the compute race from single-chip to system efficiency.
Huawei Ascend 10K-Card Cluster Goes Live, UnifiedBus Protocol Pools All Resources
Huawei launched an Ascend 10,000-card AI cluster in Shaoguan, Guangdong, and showcased the Atlas 950 SuperPoD with its proprietary UnifiedBus interconnect supporting 8,192 NPUs at 16.3 PB/s. Huawei Cloud also entered the Gartner 2026 Cloud AI Infrastructure Leaders quadrant, reinforcing its push for a self-contained AI ecosystem.
Huawei and Hubei Mobile Validate AI Inference Acceleration: External KV Cache Boosts Throughput 372%
Huawei and Hubei Mobile completed the first operator AI inference acceleration trial, using OceanStor A800 storage and Ascend A3 supernode with UCM to externalize KV Cache to PB-level storage, achieving up to 372% TPS improvement for long-context inference on GLM-5.1 and MiniMax M2.5 models.
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.