BestHub
Sign in
Architects' Tech Alliance
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.

2.2k
Articles
0
Likes
4.0k
Views
0
Comments
Recent Articles

Latest from Architects' Tech Alliance

100 recent articles max
Architects' Tech Alliance
Architects' Tech Alliance
Aug 18, 2025 · Artificial Intelligence

How Large Model Training Dominates Compute and What New Techniques Can Change It

This article explains why pre‑training large AI models consumes 90‑99% of total compute, describes the full training and inference pipelines, introduces resource‑saving strategies such as PD‑separation, and reviews market trends and infrastructure challenges shaping the next generation of AI systems.

AI infrastructureAI trainingGPU Architecture
0 likes · 13 min read
How Large Model Training Dominates Compute and What New Techniques Can Change It
Architects' Tech Alliance
Architects' Tech Alliance
Aug 15, 2025 · Artificial Intelligence

How AI Compute Centers Structure Their Networks for Maximum Performance

This article explains the logical and physical architecture of AI compute centers, detailing the division into access, security, network, management, out‑of‑band, AI compute cluster, and general compute zones, and describes the four network planes—parameter, sample, business, and management—required for high‑performance AI workloads.

AICompute clusterNetwork Architecture
0 likes · 7 min read
How AI Compute Centers Structure Their Networks for Maximum Performance
Architects' Tech Alliance
Architects' Tech Alliance
Aug 13, 2025 · Artificial Intelligence

How Huawei’s Ascend 910D Stacks Up Against Global AI Chip Leaders

The article examines Huawei's Ascend 910D AI processor, highlighting its architectural upgrades, liquid‑cooling power efficiency, and 4 TB/s inter‑chip bandwidth, then compares its performance, cost and ecosystem advantages against domestic rivals such as Cambricon and Kunlun and against foreign powerhouses like NVIDIA H100, AMD MI300 and Google TPU v4.

AI chipAI hardwareAscend 910D
0 likes · 16 min read
How Huawei’s Ascend 910D Stacks Up Against Global AI Chip Leaders
Architects' Tech Alliance
Architects' Tech Alliance
Aug 13, 2025 · Artificial Intelligence

Can DeepSeek Survive the AI Arms Race? A Deep Dive into Its Challenges

DeepSeek, a fast‑rising large‑model contender, boasts impressive NLP and code‑generation capabilities, yet faces steep hurdles—including security concerns, industry‑specific customization gaps, slowing innovation, fierce competition from OpenAI, Google, and Alibaba’s Qwen3, and fragmented open‑source ecosystems—that cast doubt on its long‑term prospects.

AI competitionDeepSeekmodel evaluation
0 likes · 12 min read
Can DeepSeek Survive the AI Arms Race? A Deep Dive into Its Challenges
Architects' Tech Alliance
Architects' Tech Alliance
Aug 10, 2025 · Artificial Intelligence

How Huawei Ascend 910 Redefines AI Training Performance

The Huawei Ascend 910 AI processor, built on the Da Vinci architecture with 7nm+ EUV technology, delivers 256 TFLOPS FP16 and 512 TOPS INT8 performance, superior energy efficiency, and a full-stack software ecosystem, making it ideal for large‑scale AI training, HPC, and cloud AI services.

AI processorAscend 910Da Vinci architecture
0 likes · 13 min read
How Huawei Ascend 910 Redefines AI Training Performance
Architects' Tech Alliance
Architects' Tech Alliance
Aug 10, 2025 · Artificial Intelligence

From Volta to Blackwell: How NVIDIA GPUs Evolved for Deep Learning

This article traces the evolution of NVIDIA's GPU architectures—from Volta's pioneering Tensor Cores through Turing, Ampere, Hopper, and the latest Blackwell—highlighting key innovations such as mixed‑precision support, NVLink, and specialized Tensor Core designs that have dramatically boosted AI training and inference performance.

AI hardwareGPU ArchitectureNVLink
0 likes · 10 min read
From Volta to Blackwell: How NVIDIA GPUs Evolved for Deep Learning