#LateNcy

The Problem We Were Actually Solving We needed to distinguish between real treasure spawns...

AI placement latency is not the problem most teams think they are managing. The default framing...

The Problem We Were Actually Solving Our Treasure Hunt Engine indexes 1.2 TB of JSON event...

The Problem We Were Actually Solving Our treasure hunt engine was a Node.js microservice...

It was 3:17 AM when the pager screamed. Our Rust-based treasure-hunt matchmaking service had been...

In 2025 we inherited the public facing search index for Hytales treasure hunt system. The index...

The Problem We Were Actually Solving We werent just chasing p99 latency; we were solving a...

The Problem We Were Actually Solving I was tasked with optimizing the scaling of our...

How I Built a KV-Cache Control Plane for LLM Inference — With Real Benchmark Results LLM...

The Akamai State of AI Inference report captures real data from the field that describes how AI inference is being built and scaled in production today.

TL;DR: Our frame-based defect detector ran at 31ms on a Jetson Orin Nano, and the production line...

Vercel’s upgraded CDN connection pooling speeds up proxying to external backends by up to 60%, cutting latency for both low-traffic and high-traffic apps.

Montréal (yul1) is now part of Vercel’s global edge network, improving latency for users in Central Canada

You can now view live model performance metrics for latency and throughput on Vercel AI Gateway on the website and via REST API.

From Dev.to - ai: How to Lower Transcription Latency in Voice AI Systems: Practical Tips

From Dev.to - machinelearning: Gemini 3.1 Flash-Lite is now generally available on Gemini Enterprise Agent Platform

After returning from AWS Summit London 2026 I was doing some research on running AI/ML workload in...

ONNX Runtime's QNN execution provider silently routes unsupported ops to the CPU. Your eval set passes. Production latency triples. Here's the three CI assertions that catch it before merge.