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AI workloads are growing more complex in terms of compute and data, and technologies like Kubernetes and PyTorch can help build production-ready AI systems to support them. Robert Nishihara from Anyscale recently spoke at KubeCon + CloudNativeCon North America 2025 Conference about how an AI compute stack comprising Kubernetes, PyTorch, VLLM and Ray technologies can support these new AI workloads.
Reddit has rebuilt its core backend, migrating Comments, Accounts, Posts, and Subreddits from a legacy Python monolith to Go microservices. The migration improves performance, halves critical write latency, and modernizes the platform for future scalability while preserving correctness across multiple datastores.
Amazon announced support for the Agent-to-Agent (A2A) protocol in Amazon Bedrock AgentCore Runtime, enabling communication between agents built on different frameworks. The protocol allows agents developed with Strands Agents, OpenAI Agents SDK, LangGraph, Google ADK, or Claude Agents SDK to "share context, capabilities, and reasoning in a common, verifiable format."
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Joe Cassavaugh about building a sustainable solopreneur game development business, the importance of authenticity over conventional wisdom, and learning from both successes and failures in the digital content marketplace.
At the Ignite conference, Microsoft unveiled the Cobalt 200 ARM processors, boasting a remarkable 50% performance boost. Engineered with advanced AI simulations and robust security features, it supports high-density workloads with 132 cores. As the next-gen solution for Azure, Cobalt 200 sets a new standard in efficiency and power, enhancing cloud capabilities for diverse applications.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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KubeCon NA 2025 - Robert Nishihara on Open Source AI Compute with Kubernetes, Ray, PyTorch, and vLLM
AI workloads are growing more complex in terms of compute and data, and technologies like Kubernetes and PyTorch can help build production-ready AI systems to support them. Robert Nishihara from Anyscale recently spoke at KubeCon + CloudNativeCon North America 2025 Conference about how an AI compute stack comprising Kubernetes, PyTorch, VLLM and Ray technologies can support these new AI workloads.
By Srini PenchikalaReddit Migrates Comment Backend from Python to Go Microservice to Halve Latency
Reddit has rebuilt its core backend, migrating Comments, Accounts, Posts, and Subreddits from a legacy Python monolith to Go microservices. The migration improves performance, halves critical write latency, and modernizes the platform for future scalability while preserving correctness across multiple datastores.
By Leela KumiliAmazon Adds A2A Protocol to Bedrock AgentCore for Interoperable Multi-Agent Workflows
Amazon announced support for the Agent-to-Agent (A2A) protocol in Amazon Bedrock AgentCore Runtime, enabling communication between agents built on different frameworks. The protocol allows agents developed with Strands Agents, OpenAI Agents SDK, LangGraph, Google ADK, or Claude Agents SDK to "share context, capabilities, and reasoning in a common, verifiable format."
By Vinod GojePodcast: Authenticity Over Convention: Lessons from 16 Years of Solo Game Development
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Joe Cassavaugh about building a sustainable solopreneur game development business, the importance of authenticity over conventional wisdom, and learning from both successes and failures in the digital content marketplace.
By Joe CassavaughMicrosoft's Azure Cobalt 200 ARM Chip Delivers 50% Performance Boost
At the Ignite conference, Microsoft unveiled the Cobalt 200 ARM processors, boasting a remarkable 50% performance boost. Engineered with advanced AI simulations and robust security features, it supports high-density workloads with 132 cores. As the next-gen solution for Azure, Cobalt 200 sets a new standard in efficiency and power, enhancing cloud capabilities for diverse applications.
By Steef-Jan Wiggers