Cloud & Infrastructure
Cloud & Infrastructure news today
20 stories from 5 sources in the last 48 hours, every one in English. Each links to its publisher.
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The open AI-native stack on Kubernetes: From open models to distributed inference and agents
Google Cloud Blog
Over the past decade, Kubernetes established itself as the standard for orchestrating microservices and containerized applications. Today, we're witnessing the next major architectural shift in distributed computing: AI workloads moving…
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A $60 billion fintech hired a 14-year-old. Its CEO explains why.
The New Stack
Ramp hired a 14-year-old intern after discovering an app he had built for fun that attracted attention from roughly a million people on Twitter. Co-CEO Eric Glyman discussed the hire during a November 5 interview with founder and editor of…
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Anthropic launches Fable 5.2 with a price cut and stronger coding scores
The New Stack
On Monday, Anthropic launched Claude Fable 5.2 and Mythos 5.2 , the latest versions of its duo of flagship models. Like before, Fable 5.2 will be available on all platforms today, including Amazon Web Services, Google Cloud, and Microsoft…
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Google claims its new AI software cuts inference latency by over 90% — but there’s a catch
The New Stack
Google’s eighth-generation TPU announcement on Monday included more than new chips, introducing TPU Sync , an open-source system designed to speed up AI inference by tackling a problem that worsens as context windows grow: moving data…
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Cursor and Google join OpenAI in giving coding agents a voice. Claude Code stays silent.
The New Stack
Two of the biggest players in the AI coding space are betting that developers want to talk to their agents while they work, with both announcing a two-way voice feature that lets users ask questions and give follow-up instructions without…
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Meta launches Muse Ember to take on Claude Haiku and GPT-6 Luna
The New Stack
Meta on Monday debuted Muse Ember , a smaller, more efficient multimodal member of its Muse model family. The company is clearly taking a similar approach to the other frontier labs, with a family of models that cover everything from…
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AWS Weekly Roundup: AgentCore Runtime V2, Amazon DynamoDB bulk put items, and more (November 9, 2026)
AWS News Blog
Most of the cost of adopting something new isn’t the new thing, it’s the move. Moving a Hive table to Apache Iceberg has typically meant weeks of engineering work. Last week, Amazon S3 Tables turned that into three steps: start, sync as…
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Fact-Checking at Scale: Building a More Accurate and Efficient Synopsis Factuality System
Netflix Tech Blog
By Shreya S Ramanujam , Yongce Li , Afshine Amidi , Sina Ghiassian , Benjamin Klein . Introduction Picture this — you’re home after a long day at work and can’t wait to catch up on Bridgerton. You log on to Netflix, search for “Bridgerton”…
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New survey finds enterprises trapped between legacy software and AI modernization
Google Cloud Blog
Throughout my career in cybersecurity and infrastructure protection — both in government and now at Google Cloud — I have consistently seen that friction between new and existing technology is often a barrier to progress. A new piece of…
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Cloud CISO Perspectives: Our security forecast for 2027
Google Cloud Blog
Welcome to the first Cloud CISO Perspectives for November 2026. Today, Chris Betz shares our security forecast for 2027, with insights from top leaders at Google, Google Cloud, and Mandiant. As with all Cloud CISO Perspectives, the…
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Why semantic layers will be essential for enterprise AI
The New Stack
AI can find your data. It can’t read your mind. AI agents can already reach into your CRM, your warehouse, and your ERP, and with standards like MCP , that list keeps growing. Access is solved. Understanding is not. An agent can retrieve…
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Real-time state has a cost your memory bill won’t show
The New Stack
Real-time applications often combine tools with distinct roles. A typical setup might use Kafka to handle events, Flink to process them, Redis to serve the latest state, and a database to maintain the system of record. Applications that…
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Our newest TPUs: 8tx and 8i Max, built for the agentic era
Google Cloud Blog
Editor’s note: This blog was originally published on News from Google . We first designed TPUs more than a decade ago motivated by Google’s internal demands, including voice recognition and language translation. Eight generations of TPUs…
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Now generally available: GKE dynamic slicing for higher resilience, and efficiency for TPUs
Google Cloud Blog
Running large-scale AI workloads on TPU and Google Kubernetes Engine (GKE) requires infrastructure that adapts as fast as your models change. Dynamic Slicing is generally available on GKE, which decouples logical TPU slice formation from…
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Introducing TPU Sync: Fast KV cache and weight transfer for inference and RL on TPU
Google Cloud Blog
As frontier AI evolves from stateless single-turn prompts to million-token agents, disaggregated serving, and continuous reinforcement learning (RL), the primary bottleneck in AI infrastructure has shifted from raw compute to orchestrating…
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Cloud Pathways, a distributed ML runtime for massive accelerator fleets, now GA
Google Cloud Blog
Today, we are thrilled to announce the general availability (GA) of Cloud Pathways ( Pathways on Cloud ) on Google Kubernetes Engine (GKE) as a core runtime pillar of the Google Cloud AI Hypercomputer . Originally engineered by Google…
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Launching the Vite Ecosystem Fund
Cloudflare Blog
Cloudflare is distributing the first $301,300 of the Vite Ecosystem Fund to 44 projects and maintainers across the Vite ecosystem. When VoidZero joined Cloudflare, we committed $1 million to strengthen the open source ecosystem around…
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Moving from AI adoption to an AI operating model: How Docusign engineering went beyond tool rollout
The New Stack
Docusign rolled out AI coding tools across its engineering teams, expecting them to help developers write code faster and do more. Initial enthusiasm was high, but early gains plateaued. By June 2025, Docusign had reached a sticking point…
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Scaling an autonomous agent from one team to fifty: A serverless-to-container decision framework
The New Stack
QA teams shipping complex products generate test failures around the clock. Every failure needs a bug ticket with steps, screenshots, repro rates, and regression labels. The manual process takes 10-15 minutes per failure. Multiply that by…
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Perplexity’s AI agents keep working after you close the tab
The New Stack
Perplexity’s new Teammates can coordinate multiple agents, remember where previous sessions left off, and keep working without another prompt. The challenge is keeping everything in sync, especially when agents are working at the same…