Amazon EKS
PulseAugur coverage of Amazon EKS — every cluster mentioning Amazon EKS across labs, papers, and developer communities, ranked by signal.
8 day(s) with sentiment data
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AWS launches Claude apps gateway for enterprise Anthropic model management
AWS has introduced a new gateway solution designed to help enterprises manage Anthropic's Claude models for their workforces. This gateway provides centralized control over authentication, model access, cost attribution…
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Amazon SageMaker AI integrates with EKS for enhanced AI workflows
Amazon SageMaker AI has introduced an add-on for Amazon EKS that enables interactive IDEs and JupyterLab environments to run directly on EKS clusters. This integration aims to streamline AI workflows for ML teams by all…
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AWS SageMaker AI Spaces integrates IDEs into EKS clusters
Amazon Web Services has introduced a new add-on for Amazon EKS called SageMaker AI Spaces. This feature allows data scientists to run interactive Integrated Development Environments (IDEs) like JupyterLab and Code Edito…
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OpenAI CFO shares AI finance lessons; nOps speeds agent delivery with AWS
OpenAI CFO Sarah Friar has outlined five key lessons learned from developing an AI-native finance function, emphasizing automation in forecasting and controls, and the importance of measuring AI return on investment. In…
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Deploy LLMs on Amazon EKS with vLLM: A Step-by-Step Guide
This article provides a step-by-step guide for deploying a Large Language Model (LLM) on Amazon EKS using vLLM. It highlights Gartner's prediction that 95% of AI deployments will use Kubernetes by 2028, emphasizing the …
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Amazon EKS with MCP: AI-Powered Kubernetes Management Guide
This article provides a comprehensive guide to setting up and managing Amazon Elastic Kubernetes Service (EKS) with a focus on AI-powered Kubernetes management using MCP. It details the core architecture, including the …
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KMCP simplifies AI agent tool exposure with Kubernetes controller
KMCP is a new Kubernetes controller designed to simplify the deployment and management of MCP (Model Communication Protocol) servers. These servers are often used to expose tools and services to AI agents, but tradition…
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Kimi K3 frontier model deployment on AWS requires heavy infrastructure
Deploying the open-weight frontier model Kimi K3 on AWS infrastructure, specifically SageMaker HyperPod and EKS, has been demonstrated. This deployment highlights the feasibility of running such advanced models on cloud…
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Moonshot AI releases Kimi K3, a 2.8T parameter open-weight MoE model
Moonshot AI has released Kimi K3, a 2.8 trillion parameter open-weight Mixture of Experts (MoE) model. This model, featuring Kimi Delta Attention and other architectural innovations, offers improved scaling efficiency a…
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AWS LLM Hosting: Bedrock vs. SageMaker vs. Self-Hosted Costs Compared
A comparison of running large language models (LLMs) on AWS reveals distinct cost and operational trade-offs between Bedrock, SageMaker Endpoints, and self-hosted solutions on EKS. For low-volume, high-quality tasks lik…
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Automate ML Model Training and Deployment from SageMaker to EKS
This article details an automated MLOps workflow for moving machine learning models from training to production on Amazon EKS. It utilizes Amazon SageMaker for model tuning, evaluation, and explainability, followed by A…
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Claude Code agents streamline AWS production triage with nested subagents
This article explores how Claude Code's subagent capabilities can be used to improve production triage in AWS environments. The author details how nested subagents can isolate verbose diagnostic tasks, preventing them f…
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AWS SageMaker HyperPod enables multi-turn RL training for enterprise agents
AWS has introduced a new infrastructure for training multi-turn reinforcement learning agents on Amazon SageMaker HyperPod. This system, leveraging Amazon Nova Forge, is designed to optimize agents for complex, multi-st…
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Amazon SageMaker AI launches new service for multi-turn reinforcement learning
Amazon SageMaker AI has introduced a new service for multi-turn reinforcement learning (MTRL) designed to train agents capable of handling complex, sequential tasks. This service aims to simplify the process of developi…
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Deploying ML Models on AWS EKS with Docker, Kubernetes, and Traefik
This article details the process of deploying machine learning models using MLOps practices on AWS Elastic Kubernetes Service (EKS). It covers the use of Docker for containerization, Kubernetes for orchestration, and Tr…
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Cara uses AWS AI to automate insurance brokerage operations
Cara, an AI-native solution built on AWS, is revolutionizing the insurance brokerage industry by automating complex back-office tasks. The platform leverages Amazon Bedrock to provide domain-specific AI capabilities, su…
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Mitigating RayServe Errors During EKS Upgrades with Lifecycle Alignment
This article details a strategy for preventing RayServe 5xx errors during Kubernetes (EKS) upgrades and node disruptions. The author explains how to align the lifecycles of Ray, Kubernetes, and Karpenter to eliminate dr…
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EKS graceful pod shutdown fix prevents 502 errors during deployments
A common issue with graceful pod shutdowns on Amazon EKS, leading to 502 errors during deployments, has been addressed. The problem arises from a timing discrepancy between Kubernetes removing a pod from service endpoin…
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AWS powers AI agents for XPeng, Kimi, and Cheetah Mobile
Amazon Web Services (AWS) is enabling companies like XPeng, Kimi, and Cheetah Mobile to integrate AI agents into their core business operations. XPeng has developed an internal AI coding and agentic work platform called…
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LiteLLM deployed on AWS EKS for unified LLM management
LiteLLM has been deployed on AWS EKS to address the complexities of managing multiple large language model providers. This unified gateway simplifies access to over 100 LLM providers, offering features like automatic sc…