News & Insights

The editorial hub for AI/HPC engineers, research labs, and industry partners.

Sections

• Reports: whitepapers, benchmark observations, annual trend reviews.
• Interviews: conversations with scientists, system architects, and engineering leaders.
• Policy Analysis: updates on compute infrastructure policy, data governance, and open-source compliance.

Editorial Principles

• Neutral and evidence-based.
• Actionable for research and engineering teams.
• Reusable through references, methods, and terminology.

QA Highlights

Real Q&A sessions with the AI-HPC Assistant (chat.ai-hpc.org), curated and expanded into searchable posts.

• QA Highlight: How to Design an InfiniBand Network for a 10K-GPU AI Training Cluster? —— Topology selection, rate/port planning, RDMA tuning, supporting design and acceptance (KB · Chapter 03-network).
• QA Highlight: How to Configure Slurm Heterogeneous Scheduling on a CPU/GPU Hybrid Cluster? —— GRES definitions, GPU resource management, MIG/vGPU multi-tenant sharing, and Docker submission templates (KB · Chapters 07/06).

Quarterly Review

• AI for Science Quarterly Review (2026 Q4 Kickoff): From Discovery to Verification —— Formal verification becomes the main battleground, MatBrain's lightweight route, Google RAISE open ecosystem, compute satellites in orbit, and science AI's "trust problem."
• AI for Science Quarterly Review (2026 Q3): From Prediction to Discovery —— Super-smart fusion compute, agentic science systems, real breakthroughs in materials/drugs/weather, and the verification bottleneck.