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.
595 articles in this category
The AI Governance Mirage: Why Enterprises Are Building Control Planes From Scratch
72% of enterprises believe they have adequate AI governance. VentureBeat's Q1 2026 research says most don't. Here's what the organizations getting it right are doing differently.
How Enterprise Teams Are Replacing AI Chatbots with Autonomous Agent Architectures in 2026
The Stanford AI Index 2026 confirmed what enterprise leaders are learning the hard way: autonomous agents now outperform expectations, but most organizations are still buying chatbots. Here's what the shift to agentic architecture actually looks like in practice.
From Chatbots to Agents: How Enterprise Organizations Are Deploying Autonomous AI in 2026
Gartner projects 40% of enterprise apps will embed autonomous AI agents by end of 2026 — up from less than 5% in 2025. Here is what that transition actually looks like in production, and what organizations need to build it right.
Sovereign AI Agents for Government: Why Federal Agencies Are Choosing Infrastructure They Own
Federal agencies building sovereign AI infrastructure — owning their code, choosing their LLMs, deploying on their own networks — are creating strategic compounding advantages that per-seat SaaS subscriptions cannot match.
The Governance Gap: Why Enterprise AI Agents Succeed or Fail in Production
Most enterprise AI pilots fail in production for operational reasons, not technical ones. This is what governance-first agent deployment actually looks like in 2026.
Why Enterprise AI Is Moving from Per-Seat Licensing to Agentic Operating Systems
Per-seat AI licensing is breaking at enterprise scale. Organizations are moving to agentic AI operating systems — platforms they own, deploy anywhere, and scale without per-seat cost penalties.
Coffee with Crow: Building A Future Where Everyone Can Work with AI
A panel featuring former U.S.
A Student-First, AI-Native Vision for the Future
A senior leader from Western Governors University (WGU) presented a comprehensive vision for how AI can fundamentally transform higher education from a provider-centered model to a learner-centered one.
But What are You Doing for YOUR Kids?
This panel, moderated by Patrick Methvin (Gates Foundation), brought together education leaders who are also parents -- Dacia Toll (CourseMojo), Michael Sorrell (Paul Quinn College), and Stephen Jull (Teach for All) -- to explore the disconnect betwe
Why Enterprise AI Integration Keeps Failing — And How MCP Fixes the Architecture
Most enterprise AI deployments fail at the integration layer, not the AI layer. The Model Context Protocol (MCP) is changing the architecture — and why it matters for every organization deploying AI at scale.
Career-Connected Learning
This panel on career-connected learning featured CEOs from four education companies -- James Rhyu (Stride), Jamie Candee (Edmentum), Krishna Kumar (Simplilearn), and Steve Daly (Instructure) -- moderated by Tony Won (Reach Capital).
AI is the New Key to Unlocking the American Dream
This panel brought together Taylor Stockton (DOL Chief Innovation Officer), Josh Allen (Walmart Academy), and Naria Santa Lucia (Microsoft Elevate) to discuss AI's impact on the labor economy and workforce.
Coffee with Crow: The AI Roadmap Ahead: Pro Human Learning & Work
ASU President Michael Crow moderates a conversation with will.i.
State Chiefs on Leadership — Aimee Guidera (ASU+GSV)
Former Virginia education secretary Aimee Guidera joins a candid ASU+GSV 2026 panel of state education chiefs on system leadership, reform, and hard-won lessons.
State Chiefs on Leadership — Angélica Infante-Green
Rhode Island commissioner Angélica Infante-Green joins a candid ASU+GSV 2026 panel of state education chiefs on system leadership, reform, and lessons learned.
Turning Goals Into Scalable Systems: Statewide Career Navigation in Action
This panel explored the practical challenges of building statewide career navigation systems that actually reach students.
From Content to Conversation
Victor Riparbelli, CEO and co-founder of Synthesia, presented the evolution of AI video from simple avatar-based content creation to interactive "Video Agents" that transform learning from passive consumption to two-way conversation.
Clear Eyes, Full Hearts, Can't Lose... Texas Education Policy
This panel showcased Texas as a national model for place-based education partnerships, featuring F. Mike Miles (Houston ISD superintendent), Todd Williams (Commit Partnership), Jeff Edmonson (Ballmer Group), and Anne Wicks (Bush Institute) as moderator.
Multiple Choice... What's Love Got to Do With It?
A panel moderated by Michelle Rhee explores the state of school choice in America, featuring perspectives from charter school advocates, operators, and a Chicago-based leader confronting anti-choice political forces.
Accelerator Announcement with Jonathan Hage
Jonathan Hage announced the launch of "Launched," described as the world's first true education innovation marketplace.
Beg, Borrow or Steal…A New American Talent System for an AI Disrupted World
Moderated by Jon Schnur (America Achieves), this panel examined how the U.S.
Beyond the Novelty: Evaluating AI-Powered Career Navigation Tools
A five-person panel moderated by Rowan Trollope (BrightBound) explored how AI-powered career navigation tools can reduce inequalities rather than reinforce them.
Disagreeing Better
Harvard Kennedy School professor Julia Minson presented the core ideas from her new book "How to Disagree Better," arguing that persuasion fundamentally does not work and that the real goal of constructive disagreement should be getting the other per
FUSION with Michael Moe
GSV founder Michael Moe delivers the opening keynote of the 17th annual ASU-GSV Summit, framing education's transformation through the lens of "fusion" -- the convergence of man and machine, learning and earning, physical and digital.