Akshay's Expedition Logs

Deep dives into distributed systems, ML infrastructure, and the architectures that make AI at scale actually work

GenAI
Distributed Systems

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Why Your AI Images Look Pixelated — Quantization, Distillation & Inference
GenAI
14 min read•2026-03-18

Why Your AI Images Look Pixelated — Quantization, Distillation & Inference

I spent 18 minutes generating an image that looked like a bad oil painting. Here's the exact threshold where quantization breaks down — and why distilled models can't use negative prompts.

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Recent Posts

Production Ray: Patterns, Mistakes, and Lessons
Distributed Systems
•2026-03-15

Production Ray: Patterns, Mistakes, and Lessons

The final part of our Ray deep dive: five production patterns that work, five mistakes that hurt, and a debugging playbook for distributed ML systems.

Running AI Image Generation Locally on Apple Silicon
GenAI
•2026-03-08

Running AI Image Generation Locally on Apple Silicon

I ran three AI image models locally on a Mac Mini M4 Pro. Real benchmarks, real failures, and a routing guide for when to use Klein, Dev, or Qwen.

When Nodes Die: Ray's Fault Tolerance
Distributed Systems
•2026-03-06

When Nodes Die: Ray's Fault Tolerance

How Ray detects failures, retries tasks, recovers actors, and reconstructs lost objects—plus production patterns for building resilient distributed ML pipelines.