Today, we are excited to announce the launch of .NET 10, the most productive, modern, secure, intelligent, and performant release of .NET yet. It’s the result of another year of effort from thousands of developers around the world. This release includes thousands of performance, security, and functional improvements across the entire .NET stack-from languages and developer tools to workloads-enabl
Lambda Internal Extensions で Lambdaのチューニングに役立つ情報を取得する - Qiita
Lambdaのチューニング AWS Lambda 関数を使用するためのベストプラクティスにも詳しく書かれていますが、 Lambdaのチューニングにはそのスコープごとに３つの視点でみて行く必要があります。 他のAWSサービスとの統合方法やシステム要件などの俯瞰したアーキテクチャ的な視点 SQSを用いた非同期実装 EventBridgeを用いたイベントドリブン実装 StepFunctionsを用いたワークフロー構築 継続的改善のための可観測性向上、X-Ray, CloudWatch Metrics(Logs), External Extensions フロントキャッシュ etc. AWS Lambdaサービス機能としてのチューニング Provisioned Concurrencyによる暖機 Memory設定 VPC設定 Containerの利用 EFSの利用 etc. プログラミングコードとし
A typical PyTorch training program on 8 GPUs with 4 dataloaderworkers per GPU would create at least processes.A naive use of PyTorch dataset and dataloader can easilyreplicate your dataset's RAM usage by 40 times. This issue has probably affected everyone who has done anything nontrivial with PyTorch.In this post, we will explain why it happens, and how to avoid the 40x RAM usage. All code example
Introduction: These Aren’t the JSONs You’re Looking For JSON (JavaScript Object Notation) was designed as a simple, lightweight, and human-readable data interchange format, often positioned as a more accessible alternative to XML. It has become the de facto standard for web APIs and system integration. However, while the specification itself is straightforward, different programming languages and
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Announcing .NET 10 - .NET Blog
Demystify RAM Usage in Multi-Process Data Loaders
JSON is not JSON Across Languages | Dochia CLI Blog