AI Infrastructure
The compute, inference, and platforms underneath AI.
AI infrastructure is the compute, inference, networking, and data foundation that AI systems run on — from GPUs and model-serving platforms to the pipelines that move data through them at scale.
7 episodes
- Tuning GPU Performance with AI Agents | AMD’s Anush Elangovan on ROCm 10
- The First Fully Autonomous AI Attack is Coming | Kristin Lovejoy
- Gemini 3 & Robot Dogs: Inside Google DeepMind's AI Experiments | Paige Bailey
- The Critical Infrastructure Behind the AI Boom | Cisco CPO Jeetu Patel
- Beyond Transformers: How Liquid AI Is Rethinking LLM Architecture | Maxime Labonne
- AI's Two Extremes – Foundations & The Frontier | Databricks’ Denny Lee
- AI Infrastructure & the Evolution of RAG | Weaviate's Bob van Luijt
Explainers on this topic
- When an Open Model Beats a Frontier API on Cost
- Centralizing Data Before AI: Why the Lake Doesn't Save You
- What AI Actually Costs the Environment
- The Switching Cost in AI Hardware Is Software
- Small Language Models in Production
Terms on this topic
- Compound AI Systems
- Data Sovereignty
- Edge AI
- Inference
- Mixture of Experts (MoE)
- Quantization
- Transformer
Guests on this topic
Anush ElangovanKristin LovejoyPaige BaileyJeetu PatelMaxime LabonneDenny LeeBob van Luijt