Taras Tsugrii

Anyscale 🤝GKE Through our continued collaboration with the Google Kubernetes Engine (GKE) team, we’re advancing the experience to scale Ray and Kubernetes in the cloud. This work includes: Label Selectors for improved scheduling: https://lnkd.in/gUZ8iVUW New Features for AI Scaling: https://lnkd.in/gAGSMiir Enhanced TPU Support: https://lnkd.in/gsKDvwpv

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"Pull all siloed AI projects into a one-page chart. Focus on the ones aligned with strategic goals, pause the rest, assign owners, remove roadblocks, and make clear what business value each delivers." – Julian Tang, AI Champion, BlackRock In this Pure Storage–sponsored episode of the #AIinBusinessPodcast, Julian Tang joins Emerj Artificial Intelligence Research Editorial Director Matthew DeMello to break down how enterprises can operationalize AI, align projects with strategy, and accelerate measurable outcomes. Retail and CPG leaders can uncover actionable frameworks to integrate AI into workflows, prioritize initiatives, and unlock ROI with greater clarity and speed. Listen to the full episode to discover actionable strategies for aligning AI projects with business goals and accelerating real results: https://lnkd.in/dxxHiDGU #EnterpriseAI #AIGovernance #AIWorkflow

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In-memory databases are the architectural backbone of real-time AI. They’re a necessary advantage for memory-intensive workloads that rely on instant access to context. Modern systems like Redis blend durability, multi-model flexibility (JSON, vectors, time-series), and tiered storage to deliver the speed of memory with the reliability of disk. The result? Real-time analytics, instant personalization, and AI systems that actually feel intelligent. Here’s how we deliver the speed of memory with the reliability of disk: https://lnkd.in/gSm65kdB

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In this post, we demonstrate how to integrate Amazon SageMaker HyperPod with Anyscale platform to address critical infrastructure challenges in building and deploying large-scale AI models. The combined solution provides robust infrastructure for...

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Learn how to scale sub-second latency queries from RAM to cloud storage using serverless functions, and navigate the real-world challenges of managing AWS Lambda at scale. Watch Liz Fong-Jones's talk from GOTO Chicago 2024. https://lnkd.in/deVWYY5d

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Learn how the Model Context Protocol and community efforts around tools like Argo CD are making AI-powered infrastructure a reality. By Alexander Matyushentsev, thanks to Cloud Native Computing Foundation (CNCF) and Akuity

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RoleBasedGroup is a Kubernetes API written in Go for orchestrating distributed stateful AI inference workloads with multi role collaboration and built in service discovery, treating inference services as role based groups rather than isolated workloads. More: https://ku.bz/-sFQ3PwFR

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kgateway is a Kubernetes-native, Envoy-based API gateway that routes, secures, and governs billions of API and AI requests across clouds. More: https://ku.bz/Rr7TvVnfN

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