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@shurup gave ๐Ÿพ to Spotlight on SIG Architecture: API Governance , 1ย week, 4ย days ago.
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@laura_garcia shared a post, 1ย week, 5ย days ago
Software Developer, RELIANOID

๐Ÿš€ ๐—ฆ๐—–๐—”๐—Ÿ๐—˜ ๐Ÿฎ๐Ÿฏ๐˜… โ€“ ๐—ฆ๐—ผ๐˜‚๐˜๐—ต๐—ฒ๐—ฟ๐—ป ๐—–๐—ฎ๐—น๐—ถ๐—ณ๐—ผ๐—ฟ๐—ป๐—ถ๐—ฎ ๐—Ÿ๐—ถ๐—ป๐˜‚๐˜… ๐—˜๐˜…๐—ฝ๐—ผ

๐Ÿ“… March 5โ€“8, 2026 | ๐Ÿ“ Pasadena, California SCALE 23x โ€“ Southern California Linux Expo is back โ€” North Americaโ€™s largest community-run open source conference! Four days of: ๐Ÿ”น Open source innovation ๐Ÿ”น DevOps & cloud-native deep dives ๐Ÿ”น Cybersecurity insights ๐Ÿ”น Hands-on technical workshops ๐Ÿ”น Real commu..

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@laura_garcia shared a post, 1ย week, 6ย days ago
Software Developer, RELIANOID

Weโ€™re heading to Big Data & AI World 2026

Weโ€™re heading to Big Data & AI World 2026 ๐Ÿ“ 4โ€“5 March 2026 | London Part of Tech Show London 2026, this event brings together data and AI leaders focused on responsible, scalable AI and measurable business outcomes. At RELIANOID, we enable secure, high-performance infrastructures ready for AI-driven..

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FAUN.dev()

Realtime Prompting Guide

OpenAI shipsgpt-realtimeand declares GA for theRealtime API. It's a speech-to-speech model that tightens instruction-following, steadiestool calling, and lifts voice fidelity. Latency drops. True realtime agents become possible. The release prescribesprompt skeletons,JSON envelopetool outputs,sessio.. read more ย 

Realtime Prompting Guide
Kueue is a Kubernetes-native job queueing and workload management system designed for large-scale, mixed compute environments such as AI/ML training, batch workloads, and HPC workflows. Instead of scheduling individual Pods, Kueue operates at the job level, deciding when a job should run based on resource quotas, fair-sharing policies, cluster availability, and workload priorities.

Kueue integrates tightly with Kubernetes, working alongside the default scheduler rather than replacing it. It provides features such as all-or-nothing (gang) admission, workload preemption, quota-based sharing across teams or tenants, and support for advanced frameworks like JobSet and Ray. Its goal is to help Kubernetes clusters run efficiently under heavy load while ensuring that critical, latency-sensitive, or large training jobs receive the resources they need without starving lower-priority workloads.