Cloud Computing

Responding to CVE-2025-55182: Secure your React and Next.js workloads

Earlier today, Meta and Vercel publicly disclosed two vulnerabilities that expose services built using the popular open-source frameworks React Server Components (CVE-2025-55182) and Next.js to remote code execution risks when used for some server-side use cases. At Google Cloud, we understand the severity of these vulnerabilities, and our security teams have shared their recommendations to […]

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How CME Group builds a faster, smarter exchange on Cloud SQL

Editor’s note: The Chicago Mercantile Exchange (CME Group) has evolved from a nineteenth-century commodities exchange into one of the most advanced financial market infrastructures in the world. To support real-time trading and risk management at a global scale, the company launched a strategic partnership with Google Cloud. By migrating to Cloud SQL and adopting AI-powered

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Sanctioned but Still Spying: Intellexa’s Prolific Zero-Day Exploits Continue

Introduction  Despite extensive scrutiny and public reporting, commercial surveillance vendors continue to operate unimpeded. A prominent name continues to surface in the world of mercenary spyware, Intellexa. Known for its “Predator” spyware, the company was sanctioned by the US Government. New Google Threat Intelligence Group (GTIG) analysis shows that Intellexa is evading restrictions and thriving.  Intellexa

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Building Conversational Genomics

aside_block <ListValue: [StructValue([(‘title’, ‘D I S C L A I M E R’), (‘body’, <wagtail.rich_text.RichText object at 0x7fda04f1e670>), (‘btn_text’, ”), (‘href’, ”), (‘image’, None)])]> Modern genomics has made remarkable progress in automating the early stages of analysis. Sequencing technology continues to improve in both cost and throughput, and variant calling pipelines reliably identify millions of

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GKE Turns 10 Hackathon: Announcing the winners and highlights

The GKE Turns 10 Hackathon was an electrifying showcase of developer ingenuity! Building on the excitement from our initial announcement, the hackathon challenged participants to build powerful AI agents that interact with microservice applications using the robustness of Google Kubernetes Engine (GKE) and the intelligence of Google AI models like Gemini.  The goal was to

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Decoding high-bandwidth memory: A practical guide to GPU memory for fine-tuning AI models

We’ve all been there. You’ve meticulously prepared your dataset and written your training script. You hit run, and your excitement builds, only to be crushed by the infamous error: CUDA out of memory. This is one of the most common roadblocks in AI development. Your GPU’s High Bandwidth Memory (HBM), is the high-speed memory that

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