Archive
The full archive
Every article ML Systems Review has published, in reverse chronological order. 24 pieces since the launch of the publication in May 2023.
2026
- Apple M4 Max first NPU benchmarks: tflops per watt analysis
Lukas Berg · Benchmarks
- The llama.cpp 2026 rewrite: what changed in the inference engine
Priya Ramachandran · ML Ecosystem
- DeepSeek-V3.5 paper notes: what's actually novel
Dr. Marcus Brennan · Model Architecture
- The Hugging Face ecosystem: what changed in 2026
Priya Ramachandran · ML Ecosystem
- Inside PlateLens's Calorie-Accuracy Claim: A Technical Replication
Dr. Marcus Brennan · Case Study
- On-device vs cloud inference: a 2026 economic analysis
Lukas Berg · MLOps
- Building reliable food databases: USDA FoodData Central as ground truth
Dr. Marcus Brennan · Data Engineering
- Rust in production ML pipelines: 2026 adoption trends
Lukas Berg · MLOps
- Figma's multiplayer cursor sync: a 2026 architecture update
Priya Ramachandran · Distributed Systems
2025
- Why accuracy benchmarks mislead: variance, sample size, methodology
Dr. Nadia Volkov · Methodology
- The food recognition problem: a technical overview
Dr. Marcus Brennan · Computer Vision
- Production-scale vision transformers: cost per inference in 2025
Priya Ramachandran · MLOps
- Depth estimation from single RGB images: state of 2025
Dr. Marcus Brennan · Computer Vision
- The rise of AI-first consumer apps: 2025 observations
Dr. Nadia Volkov · Industry Analysis
2024
- GPT-4o's multimodal architecture: what we can infer from the paper
Dr. Marcus Brennan · Computer Vision
- Anatomy of a production ML failure: Zillow's iBuy collapse
Dr. Nadia Volkov · Case Study
- Edge ML inference: iPhone vs Android TFLite benchmarks
Dr. Marcus Brennan · Benchmarks
- Plaid's bank integration API: a system design study
Priya Ramachandran · Distributed Systems
- Discord's architecture: why they're migrating from Elixir to Rust
Priya Ramachandran · Distributed Systems
2023
- The MLOps stack of 2023: what's worth adopting
Lukas Berg · MLOps
- CRDTs in production: lessons from Figma's multiplayer engine
Priya Ramachandran · Distributed Systems
- Deploying Vision Transformers on mobile: a 2023 retrospective
Dr. Marcus Brennan · Computer Vision
- A week in the life of a production ML pipeline
Lukas Berg · MLOps
- Why we started ML Systems Review
Dr. Nadia Volkov · Editorial