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Scientific AI


HPCg helps IOCB researchers put AI to work in their science. We run AI models locally on Aurum, so sensitive data stays in-house, and support projects from the first idea to validated results.

Services

Local Inference Service Testing

Use AI models hosted on Aurum through browser-based chat or an API for scripts and applications.

On-site
processed on Aurum GPUs
No training
on your prompts or files
Not stored
by the model backend
Up to 512k
tokens of context
Current models: Qwen3.8 27B Qwen3.8 Flash Next testing MiniMax-M3 GLM-5.3 GLM-5.3 Flash Compare models →

LLM chat

Chat in your browser with tools for research and documentation:

File Search for PDFs PubMed Aurum docs and issues Agents Web search opt-in Chat features →

LLM chat keeps your chat history, which you can delete at any time. For sensitive data, prefer the API and leave web search off.

Ask HPCg

Ask questions about the HPCg and AI documentation, including the IOCB AI policy. No login; answers link to their sources.

Document search for your group

A private, searchable collection of your group's PDFs, available in LLM chat. Set up on request.

AI solutions and workflow integration

Design and integrate AI tools, MCP servers, models, and data sources into scientific workflows.

Scientific AI project consulting

Assess feasibility, choose methods, identify data and computing needs, and plan scientific validation.

Advanced AI training

Domain-specific training on local models, workflow integration, evaluation, and reproducibility.

Personnel

Ondřej Ticháček

Scientific AI Lead

Also serves as IOCB AI Ambassador and AI Project Manager as defined in the IOCB AI policy.

Kiran Kumar Telukunta

AI Infrastructure Engineer (Aurum)

Petro Khoroshyy

Scientific Imaging and AI Specialist

What we cover

AreaWhat it includes
Scientific AI leadership and governanceSetting the direction for scientific AI and connecting research needs, technical delivery, policy, and institutional coordination.
AI solutions architecture and engineeringDesigning, building, and integrating AI tools, MCP servers, models, and data sources into scientific workflows.
Local AI infrastructure and platform engineeringDesigning, deploying, and operating local AI infrastructure on the Aurum cluster and the services hosted on it.
Scientific AI project planning and consultingHelping researchers define projects, assess feasibility, select methods, identify data and computing requirements, set validation criteria, and plan implementation.
Advanced scientific AI trainingDeveloping advanced and domain-specific training linked to scientific tools and services.

Examples of our work

  • Developed IOCB's AI policy and practical guidance for secure, responsible, and scientifically sound AI use.
  • Built MCP servers and integrated AI with approved scientific software, services, data sources, and research workflows.
  • Deployed locally hosted AI models and inference services on Aurum and made them available to IOCB researchers.
  • Helped research groups define feasible AI projects, select appropriate methods, and establish scientific validation criteria.
  • Delivered advanced and domain-specific training on local models, workflow integration, MCP servers, evaluation, and reproducibility.

Scope

HPCg supports advanced and scientific uses of AI. We do not provide general AI assistant support or routine end-user troubleshooting. ITS provides the mandatory introductory AI training; HPCg provides advanced and domain-specific training and coordinates with ITS where scientific AI services depend on shared institutional systems.