AI-Powered HPC Support
Revolutionizing High-Performance Computing User Experience with AskHPC
A deep dive into AskHPC, an intelligent ChatBot leveraging Large Language Models (LLMs) within a Retrieval-Augmented Generation (RAG) framework to enhance user support and accelerate HPC software development.
AskHPC significantly improves user support efficiency and accuracy, reducing development cycles and resource waste.
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User Satisfaction Score (out of 5.0)
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Queries with Higher Accuracy than Direct LLM
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Answer Correctness (Multiline Code)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Introduction
System Design
Evaluation Results
The demand for intelligent, conversational AI in HPC is growing due to increasing system complexity. AskHPC addresses this by providing reliable, context-aware answers.
AskHPC uses a novel RAG framework with a modality-aware parsing pipeline and a dual-context strategy for high-fidelity information retrieval and response synthesis.
AskHPC consistently outperforms direct LLM queries and vanilla RAG systems in correctness and relevance across diverse HPC topics and model scales.
4.7/5.0
Mean User Satisfaction Score
A real-world user study involving 15 HPC experts demonstrated the tangible benefits and high user satisfaction with AskHPC.
AskHPC's Knowledge Base Flow
HPC Documentation Sources
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Modality-Aware Parsing
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LLM-based Semantic Captioning
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Text-based Embeddings
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Vector Database Storage
AskHPC's knowledge base construction process ensures accurate and comprehensive information through a multi-stage pipeline.
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The comparison highlights AskHPC's superior performance in key areas critical for HPC user support.
Example: Aurora Job Submission Script
GPT-4 Turbo provided an incorrect script for ALCF Aurora, using Cobalt instead of PBSPro, wrong conda module, and incorrect MPI process count. AskHPC delivered a fully accurate script with references.
AskHPC's RAG approach mitigates hallucinations and provides verifiable, correct solutions for complex HPC tasks.
Calculate Your Potential ROI
Estimate the efficiency gains and cost savings by integrating AI-powered support into your enterprise HPC operations.
Estimated Annual Savings
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Annual Hours Reclaimed
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Your Journey to AI-Powered HPC Support
A typical roadmap for integrating AskHPC into your enterprise, ensuring a smooth transition and maximum impact.
Discovery & Planning
Initial consultation, assessment of current HPC documentation and user support workflows. Define scope and custom integration requirements.
Knowledge Base Integration
Curate, parse, and embed your organization's specific HPC documentation (user guides, scheduler manuals, code examples).
Customization & Fine-tuning
Configure LLM settings, retrieval parameters, and multimodal parsing pipelines to optimize for your specific environment.
Deployment & Training
Deploy AskHPC solution. Provide training for administrators and key users to ensure effective utilization.
Continuous Improvement
Ongoing monitoring, performance tuning, knowledge base updates, and integration of new features based on feedback.
Ready to Transform Your HPC Support?
Schedule a personalized strategy session to explore how AskHPC can empower your users and accelerate scientific discovery.
Ready to Get Started?
Book Your Free Consultation.
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Lets Discuss Your Needs
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