From Zero to Infinity: How AI-Powered Hedge Funds Build Cloud-Native AI Platforms on Kubernetes
基于Kubernetes构建云原生AI平台，利用Fluid和JuiceFS实现弹性分布式缓存，解决AI对冲基金面临的数据访问和计算扩展性挑战，实现高性能自动扩展。
Project Setup and Practice - ASP.NET Core, C#, Redis, Distributed Caching
Learn to set up a cloud-ready project using Docker for distributed caching in ASP.NET Core. Practice implementing IDistributedCache interface and explore key concepts like async operations and cache keys.
The Journey Along the Way to Data Locality on Cloud for AI/ML
Explore data locality in Kubernetes clusters, its impact on AI applications, and the balance between cost savings and performance optimization. Learn best practices and case studies for local and distributed caching.
ModelMesh: Scalable AI Model Serving on Kubernetes
Explore scalable AI model deployment on Kubernetes using ModelMesh, a multi-model serving backend for KServe. Learn about its architecture, monitoring, and new features for efficient, high-density model serving.
Polyglot Programming with Oracle GraalVM Enterprise and Coherence
Explore polyglot programming using Oracle GraalVM Enterprise and Coherence, enhancing application performance and interoperability across multiple programming languages.
Hazelcast 5.1 - The Hitchhiker's Guide
Explore Hazelcast's ecosystem beyond distributed caching, delving into advanced concepts like CRDTs, HyperLogLog, CP Subsystem, and real-time stream processing.
Fast Reliable Swift Builds with Buck
Discover how Buck, a high-performance build tool, enables fast and reliable Swift builds for iOS. Learn about declarative builds, distributed caching, and scaling mobile development at Uber.
Where is My Cache? Architectural Patterns for Caching Microservices by Example
Explore architectural patterns for distributed caching in microservices: Embedded, Client-Server, Kubernetes Sidecar, and Proxy Caching. Learn pros and cons to optimize your system's performance.
Supercharge Your Performance - Optimus Cirrus Platform
Discover how Optimus Cirrus platform revolutionizes code compilation, reducing build times from hours to seconds through advanced caching and parallelization techniques, enhancing developer productivity at Morgan Stanley.
How to Scale .NET Apps with Distributed Caching
Explore distributed caching to enhance .NET app scalability, remove bottlenecks, and improve performance. Learn key features, use cases, and hands-on examples for efficient data management.
Key Learnings from Building a Distributed Cache Platform at Spotify
Explore key insights from Spotify's journey in building a cloud-based distributed cache service, addressing challenges and achieving scalability for millions of requests per second.
Elegant Builds at Scale with Gradle 3.0
Scaling build infrastructure with Gradle 3.0 for large projects: standardization, dependency management, caching, multi-language builds, and advanced IDE integration.
Exploring Distributed Caching for Faster GPU Training with NVMe, GDS, and RDMA
Discover how to optimize GPU training performance through distributed caching techniques, leveraging NVMe storage, GDS, and RDMA networks for enhanced data access and reduced GPU wait times.
Accelerating Machine Learning Serving with Distributed Caches
Explore distributed caching strategies to optimize ML serving, reduce latency, and improve throughput in inference pipelines. Gain practical insights for implementation.
Distributed Caching for Generative AI: Optimizing LLM Data Pipeline on the Cloud
Optimize LLM data pipelines on the cloud using distributed caching. Explore I/O challenges, best practices, and real-world applications to enhance efficiency in AI workloads and model training.
Distributed Cache with .NET Microservices: Implementation and Strategies
Implement distributed caching with Redis in microservices architecture, focusing on synchronization, eviction policies, and consistency for improved performance and scalability.