AI + Simulation

How next-generation storage and data-path offloads solve KV cache bottlenecks, speed LLM inference, and enable large-scale quantum simulation workloads.

How exascale AI factories, hybrid HPC-AI-quantum workflows and Germany’s GCS are shaping research and applications ahead of ISC 2026.

How collaborative AI platforms accelerate AI simulation and quantum research using neural networks, data-driven insights, and expert ecosystems.

How AI agents, MLIPs and large standardized datasets like Open Catalyst speed catalyst discovery, bridge lab-to-industry scale-up, and point toward autonomous labs.

How AI-driven quantum simulation is changing drug discovery, materials design, and modeling. Clear explanation of the breakthrough, uses, and near-term outlook.

Nissan and Quemix used hybrid quantum-classical algorithms to run vehicle aerodynamic simulations in minutes instead of days, cutting development time and opening new AI-driven design possibilities.

Compal and partners unveil production-ready quantum AI tools for drug discovery and biopharma manufacturing, delivering large speed and accuracy gains.

NVIDIA’s AI Agent Toolkit pairs NemoClaw, Nemotron, OpenShell and CUDA-Q to power autonomous agents that speed enterprise simulation and quantum program development.

Quantum AI is coming. Leaders must align people, governance and decision design with quantum-powered machine learning. Market outlook, applications and readiness steps.

How AI and quantum computing converge, with security, data sovereignty, and infrastructure steps organizations must take now to prepare for Q-day.