AI-HPC.orgAI × HPC · Dual-Stack Engineering Community

HPC for AI: from 10K-GPU clusters and high-speed interconnects to distributed training infrastructure; AI for HPC: accelerating scientific discovery with AI×Science. Reproducible, verifiable AI/HPC engineering practice, continuously open-sourcing scientific software.

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🤖 AI-HPC Assistant

Dual Value: HPC for AI × AI for HPC

HPC FOR AI · COMPUTE FOUNDATION

Expand the frontier of intelligence with an HPC foundation

Reproducible engineering for AI infrastructure, from a single GPU to 10K-GPU clusters for large-scale training and inference.

High-performance networking: IB / RoCE AI Fabrics
Distributed training: 3D parallelism & NCCL tuning
Inference optimization: vLLM / TRT-LLM engines

Enter the systems stack →

AI FOR HPC · SCIENTIFIC INTELLIGENCE

Accelerate scientific discovery with intelligent methods

AI×Science practice on real problems: from surrogate models to reproducible scientific workflows.

Scientific foundation model (SFM) distributed training
ML potentials for MD / DFT surrogate models
AI weather modeling & parallel genomics

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2026-11-03Accelerator Arithmetic: From Spec Sheet to Deliverable FLOPs→2026-11-03Collective Topology Quantified: ring, tree, and rail→2026-11-03Communication Ledger: All-Reduce Bandwidth Scaling→2026-11-03Distributed Inference Ledger: When the Model Doesn't Fit, Where Does State Go→2026-11-03Edge-Cloud Ledger: Local, Edge, or Cloud?→View all recent updates →

🎯 Core Entries

📚 Knowledge Base

14-chapter full-stack system: hardware / networking / storage / training / inference / AI×Science, continuously updated.

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🏭 Platform & Products

AI computing × HPC unified platform: scientific problems · software factory · AI-HPC engine.

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🔬 Scientific Cases

Closed-loop cases from real scientific problems to reproducible software tools.

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📦 Deliveries

10K-GPU cluster / AI-HPC delivery experience at leading universities.

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🔬 AI×Science · AI × HPC Convergence Featured

Scientific Intelligence: AI and Scientific Computing, Two-Way

From protein folding to weather forecasting, from CFD to materials screening — AI is reshaping the scientific computing paradigm. This is AI-HPC's unique perspective: AI compute and supercomputing share the same origin and reinforce each other.

AI4S Compute Infrastructure SFM Distributed Training Scientific Agents Reproducible Workflows ML Potentials for MD Quantum Chemistry × ML AI Weather Modeling Parallel Genomics

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📚 Engineering Knowledge Base Updated weekly

Full-stack AI/HPC engineering knowledge · 14 chapters, continuously updated from hardware to scientific computing. View learning paths →

01AI Hardware & Chips8 posts 02Cluster Architecture9 posts 03High-Performance Networking9 posts 04Parallel Storage9 posts 05Automated Provisioning8 posts 06Scheduling & Cloud-Native8 posts 07Heterogeneous Computing9 posts 08AI Compilers9 posts 09Deep Learning Frameworks9 posts 10Pretrained Models9 posts 11Distributed Training12 posts 12Inference Optimization10 posts 13Application Landing13 posts 14AI×Science14 posts

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By the Numbers

10K+GPU AI training cluster experience

Top UniversitiesLarge AI/HPC cluster deliveries

14Chapters in the AI/HPC knowledge base

3NVIDIA technical certifications

👤 Founder

AI-HPC Technical Expert

ZhangDonghao

An AI infrastructure engineer. Provided InfiniBand high-speed networking and cluster support for a carrier-grade 10K-GPU AI training cluster in Shanghai; led full-stack delivery of large AI/HPC clusters for leading universities and research institutes. Experienced in AI platform & toolchain development, Slurm heterogeneous scheduling, performance benchmarking and system tuning, cloud-native and DevOps automation.

AI ClustersInfiniBandSlurmLLM EngineeringCloud-native / SRE

Selected Works: AI-HPC.org · AI-HPC Assistant · AIInfra Knowledge Base · Technical Blog Series

Contact: openaihpc@gmail.com · github.com/openaihpc · Full profile →