Julia Chase @chasejulia12
Account Development & Marketing Coordinator avesha.io Boston, MA Joined November 2013-
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Agents who watch themselves are coming to #Kubernetes. #EveryDecisionTraceable #NoMoreBlackBoxAI Each agent logs, monitors, and explains its actions. Real-time dashboards, root-cause analyses, and actionable insights come out-of-the-box.
EGS 1.14.0 is live! It supports cluster-aware inference endpoints, automatic bursting, customizable #GPU pricing, and beta AMD support - thus bringing frictionless, cost-smart #AI at scale. Read more from Uma Tammanagoudar: avesha.io/resources/blog… #Kubernetes #AIInfra #EGS
🌟 Avoid common pitfalls and master scalable #GPU solutions for your projects. 📅 Date: June 10, 2025 🕗 Time: 8 AM Pacific / 11 AM Eastern 🎯 Register Now: linkedin.com/events/gpuclou…
🚀 Unlock the power of #GPU Cloud Bursting with this exclusive LinkedIn Learning opportunity! Join industry experts John Jiang, PhD and Prabhu Navali for a 3-part series packed with insights and lessons learned from the best in the field. linkedin.com/events/gpuclou…
Welcome to Avesha's 1st LinkedIn Live Session Neo Cloud Unleashed-Revolutionizing #AI Inference with Cloud Bursting (Ep 1/3) Welcome to the 1st episode of our three-part LinkedIn Live series exploring the transformative potential of Neo Cloud in the era of AI-driven innovation!
🗓️Date & Time: June 10, 2025 ⏰Duration: 45 minutes 📢Speakers: John Jiang, PhD, Architect for Digital & Smart Transformation and Prabhu Navali, VP Product & Architecture at Avesha Platform: LinkedIn Live avesha.io/events/gpu-bur…
Paging through alerts at 3 a.m.? Dashboards only point at problems; they never fix them. We plugged agents for #IncidentTriager and #RootCauseAnalyzer into Avesha's Agentic Studio. Detection time drops to minutes. The agents propose fixes before a human even looks. #AI #AIAgents
@AveshaSystems is changing that with KubeAgents — an AI-native SRE layer that detects, diagnoses & auto-heals incidents before humans even wake up. From root cause to rollback, it's autonomous resiliency in action. #AI #SRE #DevOps #Kubernetes linkedin.com/feed/update/ur…
Part 3: Running #multicluster apps? Upgrade, kick the tires, and tell us what you think. full release notes in the blog. avesha.io/resources/blog…
6 Personas. One Mission. Evolve engineering from reactive to autonomous - always with humans in the loop. #AutonomousInfrastructure #HumanInTheLoop #AIOps #DevOps #SRE #AIInfrastructure avesha.io/contact-us
Static scaling won’t cut it. Learn how intelligent GPU orchestration boosts AI performance 3×—even in constrained environments. Read the whitepaper: avesha.io/resources/whit… #GPUOrchestration #IntelligentScaling #AIOptimization #Kubernetes #AIOps #LLM
Avesha uniquely connects #applications, #infrastructure, and #operations into one intelligent control fabric to achieve faster modernization, safer operations, and #AI-ready scale for the enterprise. For more details: avesha.io/contact-us
🙌🙌🙌 Avesha team True that! We’re the first to bring #ReinforcementLearning to #Kubernetes – and it’s changing the game for pod scaling, right-sizing and efficiency. #AIOps #SmartScaler See how: 🔗avesha.io/resources/whit…
#AI at the #Edge - Join the conversation! In the @thenewstack article thenewstack.io/emerging-edge-… Cheng Wu explores how edge computing is redefining cloud infrastructure, enabling faster, more intelligent workloads.
ICYMI- the scaling benchmark results of Avesha #SmartScaler vs. traditional #HPA for #inferenceendpoints — 85% larger batch sizes and 70% more tokens per batch. Faster. Smarter. Efficient. Better Performant. Always Available. Hands-Free performance tuning of AI infrastructure #AI
🚀 AI #Bursting, Redefined. Avesha’s #KubeBurst lets you instantly scale #GPU workloads from datacenter to cloud—on-demand, securely, and seamlessly. No rearchitecting. No downtime. Just #ElasticAI infrastructure, when and where you need it. 👉Learn more: avesha.io/products/kubeb…
Take a minute to check out Cheng Wu & Raj Nair's paper on optimizing #ML workloads with Elastic #GPU Service (EGS): up to 44% improved throughput! Dynamic resource allocation is the future of ML #infrastructure. #MLOps #AI #ResourceOptimization Dive in: linkedin.com/pulse/optimize…
Excited to share Cheng Wu & Raj Nair's paper on optimizing #ML workloads with Elastic #GPU Service (EGS): up to 44% improved throughput! 📈 Dynamic resource allocation is the future of ML #infrastructure. #MLOps #AI #ResourceOptimization Dive in: linkedin.com/pulse/optimize…
Happy Holidays from Avesha! 🎄 This year, we launched #ElasticGPUService (EGS), became a #GartnerCoolVendor 2024, and delivered solutions like #KubeSlice & #SmartScaler for better performance & cost efficiency. Thanks to our #customers, #partners, and #community! Here's to 2025!

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