Docker vs SGLang

Docker Launches Cloud Sandboxes, Extending Secure AI Agent Isolation Beyond the Laptop

Docker, Inc.®, the trusted platform for building software in the agentic era, today announced Docker Cloud Sandboxes, a new solution for secure, isolated AI agent execution that enables complex agentic workflows to continue running in the cloud long after a developer's laptop shuts down.

Sparse Attention in GLM-5.3 und ihre Auswirkungen auf DRAM-Speicher

Dieser Artikel analysiert die Auswirkungen von Sparse-Attention-Mechanismen, insbesondere DeepSeek Sparse Attention (DSA), die im GLM-5.3-Modell von Z.ai verwendet werden, auf den adressierbaren Gesamtmarkt (TAM) für DRAM-Speicher, einschließlich HBM und NAND. Es wird erklärt, dass Sparse Attention zwar KV-Cache-Speicher und Bandbreite während der Attention-Operation reduziert, jedoch nicht den Gesamtspeicherbedarf, da die Top-k-Auswahl den vollständigen Kontext im HBM erfordert. Der Artikel diskutiert Systemoptimierungen wie HiSparse, das KV-Cache auf Host-DRAM auslagert, um Kapazitätsengpässe zu überwinden. Er enthält auch detaillierte Leistungs- und Kostenvergleiche für das Serving von GLM-5.3 auf verschiedenen Hardware-Plattformen (GB200, GB300, MI355X) mit Inferenz-Engines wie Dynamo-SGLang, Dynamo-TRT-LLM und ATOM, wobei Kosteneffizienz und Interaktivitäts-Kompromisse hervorgehoben werden. Die Analyse umfasst einen tiefen Einblick in die Architektur von GLM-5, einschließlich Lightning Indexer, MLA-Konfiguration und Post-Training-Pipeline.

• GLM-5.3 verwendet DeepSeek Sparse Attention (DSA) mit einem Lightning Indexer für die Top-k-Token-Auswahl.
• Sparse Attention reduziert den Gesamtspeicherbedarf nicht, da der vollständige Kontext im HBM benötigt wird.
• HiSparse, ein hierarchisches Speichersystem, lagert KV-Cache auf Host-DRAM aus, um den Durchsatz bei hoher Nebenläufigkeit zu verbessern.

GitHub Copilot for C# Developers: Setup, Techniques, and Tradeoffs

This technical blog post provides a comprehensive guide to using GitHub Copilot in C# development environments, covering setup in VS Code and Visual Studio, and explaining the three distinct tools: inline suggestions, Copilot Chat, and Agent Mode. It offers practical techniques to improve suggestion quality, such as writing clear comments and using descriptive naming. The author evaluates both pros, like speed on boilerplate code and learning aid, and cons, including over-reliance, confidently wrong suggestions, and SQL injection risks when patterns from existing code are reflected. The post emphasizes critical review of generated code and provides strategies for using Copilot effectively in coding interviews. It concludes that the real skill is reading generated code critically, not just generating it quickly.

• GitHub Copilot includes inline suggestions, Chat, and Agent Mode.
• Setup requires installing the GitHub Copilot extension in VS Code or Visual Studio.
• Techniques like clear comments and descriptive naming improve suggestion quality.

Cloud Run Sandboxes Enable Sub-Second Python in Google Apps Script

This developer article introduces a new architecture that connects Google Apps Script (GAS) with Google Cloud Run Sandboxes, which use gVisor micro-virtualization, to enable deterministic sub-second execution of Python and Bash scripts directly from Google Workspace. The solution overcomes GAS's standard limits (6-minute timeout, V8 JS only) by offloading compute to a Cloud Run Gen2 service that runs code in an isolated gVisor sandbox. The author provides an open-source implementation (GitHub repository) and documents an 8-axis test suite that verifies security properties like SSRF protection, environment variable isolation, read-only filesystem, and network egress blocking. Practical use cases include rendering Seaborn heatmaps from spreadsheet data directly into Google Sheets, with latencies of 200-450 ms. The article also compares this approach to Gemini Managed Agents, highlighting trade-offs in latency, cost, and persistence. The architecture leverages Google Cloud's free tier to minimize costs, with scale-to-zero when idle.

• Cloud Run Sandboxes use gVisor to execute arbitrary Python and Bash code in 200-450 ms from Google Apps Script via REST calls.
• The proposed architecture blocks SSRF to metadata server, masks host environment variables, enforces read-only filesystem, and forbids network egress by default.
• An 8-axis test suite verified 100% pass rate for security and functionality, including crash resistance and infinite loop handling.