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InfoQ Reading List

Uber Moves Beyond CPU Cores with Performance-Aware Scheduling for Stateful Workloads

Uber has introduced Normalized Compute Units (NCUs) to make CPU allocation more consistent across its highly heterogeneous server fleet.

By Craig Risi

How Anthropic Redesigned Source Control for AI-Driven Development

Anthropic recently detailed how it migrated its monorepo from Git to Scion. Scion is a source control system that moves repository operations to the server side and uses content-addressed storage and tiered caches for agent and CI workloads. The design sacrifices offline independence for less local data and shared infrastructure.

By Eran Stiller

Presentation: Serving LLMs at Scale: The Hidden KV Cache Advantage

Khawaja Shams shares a distributed systems perspective on scaling LLM inference stacks efficiently. He discusses practical strategies for optimizing GPU utilization, managing KV cache memory cliffs, leveraging tiered storage, reducing tail latency, and implementing disaggregated prefill and decode architectures to improve overall fleet performance, cost economics, and availability.

By Khawaja Shams

AWS Shows Use of AI Agents to Triage Linux Kernel CVEs

Engineers from Amazon Web Services (AWS) have described how the team that maintains the Linux kernel for EC2 infrastructure handles kernel CVEs. The process combines an automated filter, an AI agent and human review. The team also argues that it needs to move to newer long-term-support (LTS) kernels, as older branches collect fixes that are never backported.

By Matt Saunders

Cloudflare and VoidZero Introduce tsrs: An AI-Generated Rust Port of TypeScript

Cloudflare, VoidZero and Max Schwenk announced tsrs, an experimental Rust port of the TypeScript compiler, built with the TypeScript team's involvement. Cloudflare claims up to 8x faster checking and 70% less memory than TypeScript 7.0, though one test against 7.1 beta showed 2.7x. It lacks watch mode and a language server, and exits with code 2 on type errors.

By Daniel Curtis

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