Microsoft Commits Maia to Multi-Gigawatt Inference, and Its Efficiency Metric Draws Questions
Microsoft will scale its Maia accelerator family to multi-gigawatt deployments from 2027, making it the primary inference system for its own product…
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Microsoft will scale its Maia accelerator family to multi-gigawatt deployments from 2027, making it the primary inference system for its own product…
Instagram Direct migrated its Android UI from the legacy Android View system to Jetpack Compose, creating an AI-native UI codebase that is easier fo…
GitHub migrated more than 800,000 lines of Copilot runtime code from TypeScript and Node.js to Rust in about 14.5 weeks using AI-assisted developmen…
Google has published benchmarks for GKE Pod snapshots, reporting up to 89% lower startup latency and a 70B model loading in 37 seconds. The feature…
Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedba…
Cloudflare redesigned the in-memory representation of its Big Pineapple DNS cache, reducing the per-entry footprint by 56% and freeing roughly 100 T…
Cloudflare has replaced its static X25519 guess for origin TLS handshakes with per-origin measurement. HelloRetryRequests on scanned origins fell fr…
AWS has extended Lambda SnapStart to container image functions, which hold up to 10 GB against 250 MB for zip archives. Teams previously chose betwe…
NVIDIA Personal AI Router (PAIR), now available in beta, lets you combine the inference capacity of multiple computers on your local network and aut…
Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn ho…
Onur Satici explains how Vortex, an open-source columnar file format under the Linux Foundation, revolutionizes high-throughput data loading. He det…
Shopify's engineering introduced gisting, a novel technique for compressing long LLM prompts into a smaller set of learned "gist" tokens, improving…
Asgaut Mjølne Söderbom and Ola Hast discuss the evolution of their software engineering practices past continuous deployment and pair engineering. T…
Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing fro…
David Chisnall discusses how the CHERI hardware architecture redefines pointer safety to solve isolation and sharing challenges. He explains how CHE…
JEP 401, integrated into JDK 28, introduces value objects. These new class instances feature final fields, altered behavior for equality checks, and…
Laurence Tratt discusses yk, an open-source meta-tracing JIT compiler framework. He shares how to automatically speed up C-based language interprete…
GitHub redesigned GitHub Issues navigation using a client-side architecture that combines caching, predictive prefetching, and service workers to re…
The latest release of Android Studio, Quail 2, now stable, expands Gemini/AI Agent Mode inside the IDE by enabling multiple AI conversations in para…
DoorDash has developed Entity Cache, a transparent proxy caching platform built on Envoy and Valkey to reduce redundant service-to-service requests…
Ruth Linehan explains how migrating high-performance caching services from Kotlin to Rust shattered internal preconceptions around delivery velocity…
Adding cloud regions changes latency and cost in ways simple math can't capture. This article presents a framework from multiple launches: decompose…
Uber introduced a high-throughput financial ledger processing system designed to handle hot account write contention at scale. Using 250ms batching,…
Shopify introduced GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution. The redesign improves larg…
n fan-out microservice architectures, slow-but-completing requests accumulate across services and drive p99 latency far higher than per-service metr…
Gunnar Morling, technologist at Confluent and Java Champion, shares his experiences with building high-performance applications in Java, especially…
Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. T…
iOS performance engineering often defaults to a mental model where performance is a property of a component. Performance is instead an emergent beha…