LLM Infrastructure
Model selection, hosting, fine-tuning, cost optimization, and scaling LLM-powered systems in production.
Running large language models in production requires careful infrastructure planning—from model selection and hosting to fine-tuning, cost optimization, and GPU provisioning. Explore practical guides on building reliable, scalable LLM infrastructure that balances performance, cost, and latency for real-world applications.
464 articles in this category

Building a Vertical AI Agent for Student Conduct: Fair Process, Efficient Administration
Student conduct processes must be fair, educational, and timely. A purpose-built AI agent can streamline administration while maintaining the procedural integrity these processes demand.

Building a Vertical AI Agent for Registrar Services: Accuracy, Efficiency, and Service
The registrar's office is the keeper of the academic record—a responsibility that demands accuracy while serving students efficiently. A purpose-built AI agent can achieve both.

University Finance AI Agent: From Transactions to Strategy
University finance offices process thousands of transactions while striving to be strategic partners. A purpose-built AI agent can handle routine processing so finance professionals can focus on analysis and guidance.

Building a Vertical AI Agent for Accreditation: Evidence That's Always Ready
Accreditation reviews are high-stakes and evidence-intensive. A purpose-built AI agent can maintain continuous evidence readiness so reviews become demonstrations of quality rather than documentation scrambles.

Higher Education Technology Trends for 2026
Technology is reshaping higher education at unprecedented speed. Here are the key trends driving change in 2026 and beyond.

Building a Vertical AI Agent for Student Services: More Time for Students Who Need It Most
Student services teams want to help every student thrive. A purpose-built AI agent can handle routine inquiries so staff can focus on students with complex needs.

The Future of Our Students: How AI Can Unlock a Fair, Faster Path to Success
An optimism-forward roadmap for how governed, agentic AI—delivered on institutional terms—can personalize learning, expand equity, and convert coursework into portable skills and credentials for every higher-ed student.

Alabama State University × ibl.ai: Building “Jarvis for Educators” — A Data-Aware AI for Student Success
Alabama State University and ibl.ai are building a “Jarvis for educators” — a governed, data-aware agentic AI layer that unifies learning, advising, and administrative systems to enable earlier interventions, equitable support, and scalable student success across campus.

University Events AI Agent: Seamless Experiences, Less Admin
Universities run thousands of events annually. A purpose-built AI agent can handle logistics so event staff can focus on creating memorable experiences.

Building a Vertical AI Agent for Enrollment Optimization: What Universities Need to Know
Enrollment management is one of the most complex functions in higher education. A purpose-built AI agent can transform how institutions predict, plan, and optimize their enrollment pipelines.

Digital Marketing for Higher Education: Complete Guide 2026
Digital marketing is essential for enrollment success. Here's your comprehensive guide to strategies, channels, and AI innovations for higher education marketing.

Higher Education Marketing Trends for 2026
Higher education marketing is being transformed by AI, personalization, and changing student expectations. Here are the trends shaping enrollment marketing.

AI Agents for Financial Aid: Helping More Students Afford College
Financial aid offices are overwhelmed, especially during peak seasons. AI agents help more students navigate aid while counselors focus on complex situations.

Building a Vertical AI Agent for Policy Management: Current Policies, Consistent Application
University policies govern everything from academics to conduct. A purpose-built AI agent can keep policies current and help stakeholders understand and apply them consistently.

Building a Vertical AI Agent for Graduate Education: Supporting the Scholarly Journey
Graduate education involves extended, personalized journeys. A purpose-built AI agent can support both students and programs through the milestones that matter.

Salesforce Education Cloud Alternatives: Simpler, More Affordable Options for 2026
Salesforce Education Cloud is powerful but complex and expensive. Explore alternatives that deliver better ROI, faster implementation, and AI-native capabilities for higher education.

ibl.ai Weekly Update — Week of December 15, 2025
Weekly platform update for the week of December 15, 2025, featuring Flagged Prompts governance, LTI Administration, MCP Configuration, Proactive Notifications, seven new mentors, embedded chatbox sizing, in-chat message persistence for Canvas, screenshare and voice transcript sync, image-aware answers, and OAuth-linked MCP servers.

OpenAI o3 and o4-mini for Education: Reasoning Models in AI Tutoring
OpenAI's o-series models bring advanced reasoning capabilities to education. Here's how o3 and o4-mini can transform STEM tutoring and complex problem-solving.

Best Learning Analytics Platforms for Higher Education 2026
Data-driven insights are transforming education. Here's your guide to the best learning analytics platforms for understanding student behavior, predicting outcomes, and improving learning.

AI Agents for University Accreditation: Evidence That's Always Ready
Accreditation demonstrates quality. AI agents maintain evidence continuously so institutions can focus on actual improvement, not documentation scrambles.

Proctoring Without the Panic: Agentic AI That’s Fair, Private, and Explainable
A practical guide to ethical, policy-aligned online proctoring with ibl.ai’s agentic approach—LTI/API native, privacy-first, explainable, and deployable in your own environment so faculty get evidence, students get clarity, and campuses get trust.

Empire State University x ibl.ai: A Multi-Campus Partnership for Human-Centered AI Teaching
Empire State University and ibl.ai have launched a SUNY-wide, multi-campus partnership to empower faculty-led innovation in AI teaching—using ibl.ai to create human-centered, outcome-aligned learning experiences across six campuses while maintaining full institutional ownership of data, models, and pedagogy.

Fort Hays State University Runs ibl.ai by ibl.ai to Power an Outcome-Aligned Social Work Program
Fort Hays State University and ibl.ai have partnered to power an outcome-aligned Social Work program using ibl.ai—a faculty-controlled, LLM-agnostic platform that connects program learning outcomes, curriculum design, and field experiences into a unified, data-informed framework for student success and accreditation readiness.

ibl.ai + Morehouse College: MORAL AI (Morehouse Outreach for Responsible AI in Learning)
ibl.ai and Morehouse College have partnered to launch MORAL AI—a pioneering, values-driven initiative empowering HBCU faculty to design responsible, transparent, and institution-controlled AI mentors that reflect their pedagogical goals, protect privacy, and ensure equitable access across liberal arts education.