Run Serverless Workloads on Any Infrastructure with OpenFunction
OpenFunction实现跨云无服务器工作负载:解耦FaaS和BaaS,加速函数启动,支持WebAssembly,构建网关API。探讨自动驾驶应用案例及最新路线图。
Empowering Developers with Open Source: Lessons from WasmEdge
开源社区构建经验分享：创建包容文化、促进参与、建立开发者计划、应对挑战，以及从成功项目中汲取经验教训，助力开发者在开源生态系统中贡献和成长。
Develop, Build and Deploy Lightweight AI Services with WebAssembly
使用WebAssembly开发轻量级AI服务,实现高效推理。学习创建PyTorch和TensorFlow函数,扩展大语言模型,以及使用K8s等工具进行部署。
Containerd Project Update and Deep Dive - Latest Features and Ecosystem Developments
深入探讨containerd最新更新,包括沙盒API、传输服务等新功能,以及生态系统扩展、Kubernetes集成等内容。了解容器运行时的前沿发展和实践应用。
The State and Future of WebAssembly in Dapr
探讨WebAssembly在Dapr中的应用历史和未来发展,介绍如何利用Dapr的中间件组件和绑定API实现自定义处理流水线,连接外部资源进行高效处理。
Enabling Zero Code Observability for Financial Applications Using WebAssembly
利用WebAssembly实现金融应用的零侵扰可观测性,通过协议解析方法和可定制插件,克服复杂系统和敏感协议带来的挑战,实现全面监控而不影响性能。
Running LLMs in the Cloud - Approaches and Best Practices
探索云端大语言模型部署策略：比较Python、原生运行时和WebAssembly方法，分析各自优缺点，助您选择最佳实施方案，优化资源效率和可移植性。
Running LLMs in the Cloud - Best Practices and Deployment Approaches
探索云端大语言模型部署策略：Python解决方案、原生运行时和WebAssembly。了解各方法优缺点，获取实用建议，选择最佳部署策略。
Self-Hosted LLM Agent on Your Own Laptop or Edge Device
探索如何在个人设备上部署开源LLM代理，实现隐私保护、定制化和成本控制。使用WasmEdge和Rust构建高性能AI服务，无需复杂依赖，适用于各种平台。
WebAssembly on the Server - Exploring Server-Side Applications and Integration
探讨WebAssembly在服务器端的应用,包括与容器工具的集成、用例分析,以及在LLM等领域的潜力,展示其作为安全高效的云原生技术的优势。
New Advances for Cross-Platform AI Applications in Docker
Explore innovative methods for enhancing cross-platform GPU/AI workloads in containers, focusing on Docker's WebGPU integration for flexible GPU utilization and portable LLM inference applications.
Running LLMs in the Cloud - Approaches and Best Practices
探讨在云原生环境中部署大语言模型的最佳实践，比较Python、原生运行时和WebAssembly三种方法的优缺点，为开发者提供实用建议和清晰路线图。
sa.FIRE Cloud4Health Studio Demonstration
Explore sa.FIRE Studio's interface, ontology, policy creation, retrieval, and revocation in this Cloud4Health demonstration by Dr Lu Fan.
Abstracting TEE Silicon Implementations with Shims
Explore TEE silicon abstraction using shims, covering Anarchs, WebAssembly, runtime portability, and trusted computing. Learn deployment strategies and how to contribute to this innovative technology.
Improve Vulnerability Management with OCI Artifacts - It Is That Easy
Learn to enhance vulnerability management using OCI artifacts. Discover how to efficiently utilize SBOMs, signed attestations, and open-source tools for improved supply chain security at scale.
Leveraging the Linux Kernel for Building a Zero-Trust Environment Without a Service Mesh
Explore an innovative approach to zero-trust security using a Linux kernel module for mTLS and access control, avoiding service mesh complexities while maintaining strong workload identities and traffic encryption.
Evidence: Business Intelligence as Code - An Open Source Project Overview
Discover how Evidence transforms business intelligence through markdown and SQL, featuring DuckDB WebAssembly integration, interactive filters, and multi-source data connections.
Real-Time Analytics and Built-In Machine Learning Models With a Single Database
Explore real-time analytics and machine learning with HTAP databases. Learn to leverage SQL for model building and discover tools for efficient data infrastructure in this hands-on webinar.
The Future of Data Pipelines with Atomic Wasm Transformations - Evolving Role of Data Engineers
Explore atomic Wasm transformations in data pipelines and their impact on data engineering roles, focusing on innovative approaches to data processing and workflow optimization.
AI Everywhere: Open Source and WebAssembly in Democratizing LLM Access
Explore how WebAssembly and open-source technologies are revolutionizing accessibility to Large Language Models, making AI more democratic and widely available.
Introduction to DuckDB: An In-Process Analytical Database Management System
Discover DuckDB's powerful analytical database system, featuring in-process execution, multi-language support, and efficient data processing capabilities for handling large datasets on a single laptop.