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AI infrastructure

Cartoon of an oversized GPU processing machine waiting for a single data block from a narrow feed while its billing meter keeps turning.
AI

GPU Cost Optimization: Find the Waste Before Buying More

GPU cost optimization starts with useful work, latency and paid capacity. A measurement-led review of data stalls, inference sizing, sharing and cost attribution separates removable spend from capacity gains.

By Julien Laurenceau, 4 months2026-06-14 ago
AI

Tesla’s .SMOL Format Shows Why Most Enterprise Data Lakes Are Architecturally Wrong

When Tesla published patent WO2024073080 describing a new file format internally called “.smol”, the headline was simple: 4x reduction in IOPS for AI training. Most people read this as a hardware story. It isn’t. It’s a data architecture story. And it exposes a structural weakness in how most enterprise data Read more

By Julien Laurenceau, 9 months2026-02-11 ago
data

🚨 MinIO goes into maintenance mode

MinIO has just announced that the open source project is now in maintenance-only mode: no new features, no regular PR review, only best-effort community support.If your data lake, AI workloads or internal S3-compatible storage rely on MinIO, this is no longer a theoretical risk: it is an operational one. Over Read more

By Julien Laurenceau, 10 months2025-12-15 ago

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