Infrastructure

Brendon.BOT has curated 6 items on infrastructure across 3 shelves (books, podcasts, videos), with available analysis and source links. Historical and pinned items may not have a current quality assessment.

Podcasts (3)

• Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO Latent Space

  Erik Bernhardsson’s take on why “AI compute comes in rectangles” cuts straight to the economics of cloud-scale hardware and the hidden cost of packaging. The Series D backdrop makes the conversation a live case study…

• Elon's Former Battery Chief: AI Data Centers Will Make Electricity Cheaper Gradient Dissent

  Drew Baglino — the engineer who scaled battery technology at Tesla — is arguing that the grid-to-chip pipeline needs a fundamental redesign, not incremental upgrades. This is the infrastructure counterpoint to the…

• Is This the Cheapest Way to Use AI in 2026? (65+ Models Tested) | Iskander Malikov, Trioma Eye on AI

  The proliferation of powerful LLMs from different providers has created a complex landscape where model selection and cost optimization are paramount. Trioma's approach to abstracting away the choice between models…

Videos (2)

• Ray Summit 2025 Keynote: AI OSS Stack Panel with vLLM + PyTorch + Kubernetes Anyscale

  The panel brings together exactly the right people — Nishihara, Chen, Spisak, Mo — but stays at conference-keynote altitude. The interoperability and shared standards discussion is the real takeaway, though it's…

• Inside one of the world's most advanced AI Infrastructure Labs Tom Shaw

  Tom Shaw's tour of Meta's AI Infrastructure Lab is a must-watch for anyone interested in the hardware behind advanced AI models. It's eye-opening how much custom engineering goes into making these systems work at scale.

Books (1)

• Machine Learning Engineering Andriy Burkov

  Andriy Burkov’s guide to engineering a machine-learning system beyond the trained model.