Author

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.

2.3k

Articles

Likes

12.2k

Views

Comments

Latest from Architects' Tech Alliance

100 recent articles max

Architects' Tech Alliance

Jul 26, 2026 · Industry Insights

Deep Reverse‑Engineering of Huawei Kirin 9030: Architecture, PPA, and N+3 Process Insights

SemiAnalysis’s STEEL lab dissects the Kirin 9030 SoC built on SMIC’s N+3 node, revealing its die layout, CPU/GPU/NPU micro‑architectural changes, performance‑per‑area trade‑offs, and the impact of export‑control‑driven process choices compared with TSMC N6‑based competitors such as the Helio G99, Apple, and Qualcomm.

GPUKirin 9030N+3 process

0 likes · 14 min read

Deep Reverse‑Engineering of Huawei Kirin 9030: Architecture, PPA, and N+3 Process Insights

Architects' Tech Alliance

Jul 24, 2026 · Industry Insights

Ten Diagrams Unveil the Global Optical Module Supply Chain

The article maps the global optical‑module ecosystem as a dumbbell‑shaped chain, highlighting a high‑barrier upstream, Chinese‑dominated midstream packaging, and concentrated downstream demand driven by AI compute clusters, while noting emerging silicon‑photonic and CPO co‑packaging technologies.

AI computeChina manufacturingdata center

0 likes · 5 min read

Ten Diagrams Unveil the Global Optical Module Supply Chain

Architects' Tech Alliance

Jul 24, 2026 · Artificial Intelligence

Key Takeaways from Liang Wenfeng’s 2026 Investor Meeting on Large‑Model Strategies

The 2026 investor meeting led by Liang Wenfeng examined large‑model roadmaps, compute supply constraints, and commercialization pacing, stressing practical efficiency over sheer scale, domestic compute advancements, cost‑control measures, and a shift from parameter races to engineering and delivery capabilities as the core competitive frontier.

AI computeAI industryDeepSeek

0 likes · 4 min read

Key Takeaways from Liang Wenfeng’s 2026 Investor Meeting on Large‑Model Strategies

Architects' Tech Alliance

Jul 23, 2026 · Industry Insights

June 2026 GPU Performance Rankings: Which Cards Lead the Pack?

The article presents a detailed June 2026 GPU performance ranking, dividing graphics cards into five tiers—from flagship 300X‑200X models like RTX 5090 and RX 7900 XTX for 4K/8K gaming and AI workloads, down to legacy integrated GPUs for basic office tasks—while also summarizing the strengths of Apple/Intel, NVIDIA, AMD, and APU solutions.

AI workloadsAMD RadeonGPU

0 likes · 6 min read

June 2026 GPU Performance Rankings: Which Cards Lead the Pack?

Architects' Tech Alliance

Jul 22, 2026 · Artificial Intelligence

WAIC 2026: Dissecting Five Supernode Architectures and Their Trade‑offs

At WAIC 2026 the leading Chinese AI vendors showcased five distinct "supernode" solutions—Huawei, ZTE, Sugon, H3C and Alibaba—each prioritising a different engineering focus such as interconnect protocol, cabinet design, liquid‑cool density, full‑stack operations or cloud‑hardware co‑design, and the article analyses their specifications, advantages, limitations and the emerging metrics that will define future competition beyond raw card counts.

AI hardwareAlibabaHuawei

0 likes · 13 min read

WAIC 2026: Dissecting Five Supernode Architectures and Their Trade‑offs

Architects' Tech Alliance

Jul 21, 2026 · Industry Insights

A Visual Breakdown of NVIDIA’s Vera Rubin AI Cabinet

The article analyzes NVIDIA’s Vera Rubin NVL72 AI cabinet, detailing its 72 Rubin GPUs, 36 Vera CPUs, 260 TB/s internal bandwidth, 100% liquid cooling, cost breakdown, component upgrades, and the broader industry impact as AI compute moves toward system‑level efficiency.

AI hardwareGPUIndustry Analysis

0 likes · 7 min read

A Visual Breakdown of NVIDIA’s Vera Rubin AI Cabinet

Architects' Tech Alliance

Jul 20, 2026 · Artificial Intelligence

Supernode Architecture Explained: Definitions, Core Features, and Practical Use Cases

The whitepaper defines supernodes as high‑speed, tightly‑connected compute systems with unified memory addressing, microsecond‑level latency and terabyte‑per‑second bandwidth, outlines their physical, transaction, function and topology layers, demonstrates AI training and inference gains such as 80% communication reduction and 98.4% cluster scaling efficiency, and discusses industry impact, future scaling, standardization and green energy trends.

AI InfrastructureHardware‑software co‑designUnified memory

0 likes · 8 min read

Supernode Architecture Explained: Definitions, Core Features, and Practical Use Cases

Architects' Tech Alliance

Jul 17, 2026 · Artificial Intelligence

How the Sunway 8000 Achieves Full‑Precision, End‑to‑End, Fully Domestic AI Supercomputing

The Sunway 8000 supercomputer combines native super‑intelligent fusion architecture, a fully domestic chip and network stack, 20× cabinet density, sub‑microsecond networking, ultra‑efficient liquid‑immersion cooling and a nationwide supercomputing internet to deliver full‑precision AI and scientific computing at unprecedented scale.

AI supercomputingGridview schedulingParaStor storage

0 likes · 9 min read

How the Sunway 8000 Achieves Full‑Precision, End‑to‑End, Fully Domestic AI Supercomputing

Architects' Tech Alliance

Jul 15, 2026 · Industry Insights

Will ASICs Overtake GPUs? How AWS and Google Are Set to Win

The article forecasts ASIC shipments reaching 7.7 million units in 2026 (45% market share) and surpassing GPUs by 2027 (58% share), analyzes TSMC's CoWoS capacity growth, details AWS's Nitro‑Graviton‑Trainium roadmap and network redesign, examines Google's TPU v1‑v8 evolution, and compares Alibaba's Pingtouge chips and revenue impacts across the cloud AI market.

AI acceleratorsASICAWS

0 likes · 11 min read

Will ASICs Overtake GPUs? How AWS and Google Are Set to Win

Architects' Tech Alliance

Jul 14, 2026 · Artificial Intelligence

How Agents and Native Liquid Cooling Redefine AI Compute Architecture with Millisecond Latency

The article analyzes the shift from single-model inference to massive, continuously running AI agents, explains why CPU power now rivals GPU, describes Inspur's native liquid‑cooled 0.5U servers that pack 384 CPUs per rack, and shows how multi‑modal fusion cuts token latency to 4.77 ms, heralding an industrial‑scale, collaborative AI era.

AI AgentsInspurcompute architecture

0 likes · 11 min read

How Agents and Native Liquid Cooling Redefine AI Compute Architecture with Millisecond Latency