Tag: AI workloads
Java 26 Arrives With AI Integration and a New Ecosystem Portfolio — What It Means for DevOps Teams
Tom Smith | | agentic development, Ahead-of-Time Object Caching, AI workloads, cloud-native Java, concurrency, Embabel, enterprise devops, G1 GC, Helidon, HPKE, HTTP/3, integrity by default, Java 26, Java Verified Portfolio, JavaFX, JavaOne 2026., JEP 500, JEP 516, JEP 517, JEP 522, JEP 524, JEP 525, JVM, JVP, LangChain4j, model integration, OCI, Oracle, Oracle Code Assist, PEM standardization, performance tuning, post-quantum JAR signing, security posture, startup performance, Structured Concurrency, supply chain, VS Code Java extension, ZGCOverview of Java 26 emphasizing performance, concurrency, security, HTTP/3, and the new Java Verified Portfolio—positioning the JVM as a supported infrastructure layer for enterprise AI workloads and easing DevOps modernization of large ...
From Cloud to Cognitive Infrastructure: How AI is Redefining the Next Frontier of SRE
Akash Thakur | | AI in DevOps, AI infrastructure, AI reliability, AI workloads, AI-driven SRE, cloud observability, cloud-native infrastructure, devops, GPU clusters, GPU utilization, hybrid AI systems, hybrid cloud, hybrid computing, intelligent operations, multi-cloud operations, site reliability engineering, SRE evolutionAs organizations embrace artificial intelligence (AI) workloads alongside traditional cloud systems, site reliability engineering (SRE) must evolve to manage an entirely new class of infrastructure — intelligent, hybrid and graphics processing unit ...
