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Architects' Tech Alliance
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Architects' Tech Alliance

Sharing project experiences, insights into cutting-edge architectures, focusing on cloud computing, microservices, big data, hyper-convergence, storage, data protection, artificial intelligence, industry practices and solutions.

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Latest from Architects' Tech Alliance

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Architects' Tech Alliance
Architects' Tech Alliance
Sep 30, 2026 · Artificial Intelligence

YuanNao Web Agent Review: 5 Enterprise-Ready Design Patterns from a Hands-On Test

A hands-on test of YuanNao Web Agent reveals five key design patterns — unified multi-agent portal, model-agent decoupling, transparent metering, enterprise usage dashboards, and layered security — that transform personal AI agents into a centrally managed, cost-trackable, and secure enterprise asset.

AI AgentsEnterprise AIModel Decoupling
0 likes · 8 min read
YuanNao Web Agent Review: 5 Enterprise-Ready Design Patterns from a Hands-On Test
Architects' Tech Alliance
Architects' Tech Alliance
Sep 27, 2026 · Industry Insights

Tencent Kills QClaw 'Lobster' After 6 Months: Why WorkBuddy Won the AI Agent Race

Tencent shut down its QClaw AI agent after six months, migrating millions of users to WorkBuddy, which captured 20.97M monthly visits in June 2026, revealing how the AI agent race has shifted from rapid market positioning to consolidating resources behind the only product achieving scalable commercialization.

AI AgentsCommercializationOpenClaw
0 likes · 13 min read
Tencent Kills QClaw 'Lobster' After 6 Months: Why WorkBuddy Won the AI Agent Race
Architects' Tech Alliance
Architects' Tech Alliance
Sep 26, 2026 · Industry Insights

Breaking the Scale Barrier: Sugon 8000's 100K-Card AI Supercluster Engineering Battles

The article details how Sugon 8000 overcame engineering challenges to build China's first fully domestic 100,000-card AI supercluster, covering chip architecture, mechanical structure, high-speed networking, storage, and liquid cooling innovations through cross-team collaboration and iterative testing.

100K-card clusterAI superclusterSugon 8000
0 likes · 15 min read
Breaking the Scale Barrier: Sugon 8000's 100K-Card AI Supercluster Engineering Battles
Architects' Tech Alliance
Architects' Tech Alliance
Sep 22, 2026 · Industry Insights

One Chip Isn't Enough: Alibaba T-Head's Zhenwu V900 and Full-Stack AI System Strategy

Alibaba's T-Head unveils Zhenwu V900 with 3x performance over its predecessor, 216GB VRAM, and 1200GB/s chip-to-chip bandwidth, alongside a coordinated compute-network-storage chip family and open-source SAIL software stack, marking a shift from single-chip leadership to system-level AI infrastructure competition.

AI ChipsAlibabaSAIL software stack
0 likes · 6 min read
One Chip Isn't Enough: Alibaba T-Head's Zhenwu V900 and Full-Stack AI System Strategy
Architects' Tech Alliance
Architects' Tech Alliance
Sep 21, 2026 · Industry Insights

2026 Q2 Ethernet Switch Market Hits $18.9B, Up 43% as AI Backend Networks Overtake Frontend

In Q2 2026 the global Ethernet switch market reached a record $18.91 billion, up 43.4% year-over-year, driven by AI backend network demand surpassing frontend for the first time, with NVIDIA overtaking Cisco in data center switch revenue share amid a shift toward integrated AI platforms and accelerating 800G-to-1.6T migration.

1.6T Ethernet800G EthernetAI infrastructure
0 likes · 7 min read
2026 Q2 Ethernet Switch Market Hits $18.9B, Up 43% as AI Backend Networks Overtake Frontend
Architects' Tech Alliance
Architects' Tech Alliance
Sep 21, 2026 · Artificial Intelligence

One Storage Array Powers an Entire Inference Cluster: FN Neo's KV Cache Architecture

Sugon's FN Neo redefines centralized all-flash storage for AI inference by turning KV Cache into a shared cluster-level asset, delivering native KV semantics with sub-millisecond latency, super-tunnel contention-free data paths, and three-tier load balancing that yields 6–12× context-length speedups on DeepSeek-R1 and Qwen-2.5 across single-node, multi-node, and real-world AI coding workloads.

AI inferenceFN NeoKV cache
0 likes · 11 min read
One Storage Array Powers an Entire Inference Cluster: FN Neo's KV Cache Architecture