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Sektör analizi: GKE Security Blueprint Joins Growing List of Cloud AI Frameworks

<img src="https://res.infoq.com/news/2026/07/google-gke-ai-security-blueprint/en/headerimage/generatedHeaderImage-1784570060139.jpg"/>Google Cloud has published a new blueprint setting out how organisations should secure artificial intelligence workloads running on Google Kubernetes Engine, arguing that the shift from prototype to production has outpaced traditional security models. The document sets out a three layer approach covering infrastructure, model integrity and application security. By Matt Saunders Maestro News, gelişmeyi Maestro Dev ekseninde — yazılım, yapay zekâ, bulut ve ürün teslimatı — özgün dilde yeniden çerçeveliyor.

Maestro News Editörü22 Temmuz 2026 08:003 dk okumaGüncellendi: 22 Temmuz 2026 13:57

AEO özet yanıt

Özetle: <img src="https://res.infoq.com/news/2026/07/google-gke-ai-security-blueprint/en/headerimage/generatedHeaderImage-1784570060139.jpg"/>Google Cloud has published a new blueprint setting out how organisations should secure artificial intelligence workloads running on Google Kubernetes Engine, arguing that the shift from prototype to production has outpaced traditional security models. The document sets out a three layer approach covering infrastructure, model integrity and application security. By Matt Saunders Maestro News, gelişmeyi Maestro Dev ekseninde — yazılım, yapay zekâ, bulut ve ürün teslimatı — özgün dilde yeniden çerçeveliyor.

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Sektör analizi: GKE Security Blueprint Joins Growing List of Cloud AI Frameworks

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“<img src="https://res.infoq.com/news/2026/07/google-gke-ai-security-blueprint/en/headerimage/generatedHeaderImage-1784570060139.jpg"/>Google Cloud has published a new blueprint setting out how organisations should secure artificial intelligence workloads running on”

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“<img src="https://res.infoq.com/news/2026/07/google-gke-ai-security-blueprint/en/headerimage/generatedHeaderImage-1784570060139.jpg"/>Google Cloud has published a new blueprint setting out how organisations should secure artificial intelligence workloads running on”

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Sektör analizi: Accelerating automotive innovation with C4A-metal and Panasonic Automotive vSkipGen

As the automotive landscape accelerates toward software-defined vehicles, Cockpit Domain Controllers (CDCs) are becoming the core of next-generation in-cabin experiences. The ability to rapidly develop, test, and validate CDC software in a flexible, hardware-independent environment is critical for innovation and time-to-market. However, physical hardware constraints and the requirement for high-performance graphics present significant challenges for global development teams. Panasonic Automotive’s vSkipGen™ addresses these challenges as a next-generation CDC virtualization platform, now validated on Google Cloud’s C4A-metal, our Axion bare-metal offering. By integrating Panasonic Automotive’s advanced Unified HMI™ remote GPU offload technology with support for Android Automotive OS (AAOS) and Android SDV, vSkipGen delivers a robust, cloud-native solution for cockpit software development and validation — empowering teams to innovate without hardware limitations. At Google Cloud, we provide workload-optimized infrastructure to help ensure the right resources for every task. Similar to the entire Axion virtual machine family, C4A-metal instances are built on Google Cloud’s custom Arm-based Axion architecture. C4A-metal offers 96 vCPUs, two DDR5 memory configurations (384GB and 768GB), and up to 100Gbps of networking bandwidth. It also provides full support for Google Cloud Hyperdisk, including Balanced, Extreme, Throughput, and ML types. And like the rest of the bare metal portfolio, C4A-metal is powered by Titanium, a key component for multi-tier offloads and security that is foundational to our infrastructure. High performance for demanding workloads C4A-metal is particularly well-suited for complex tasks such as creating digital twins of vehicle cockpits where performance must accurately mirror real-world behavior. Traditionally, the transition to software-defined vehicles has relied on expensive and scarce physical prototypes; C4A-metal overcomes this by offering the high performance and hardware-level access of bare metal with the scalability of the cloud. Panasonic Automotive leverages C4A-metal to bypass traditional hardware bottlenecks, enabling their teams to execute complex virtualization tasks and accelerate the development of next-generation cockpit software. "Google Cloud’s Axion Bare Metal has been a game-changer for our vSkipGen™ platform. By providing scalable, high-performance Arm-based infrastructure, C4A-metal allows our teams to develop and test production-intent software in the cloud with behavior that closely matches target automotive hardware. This cloud-to-car bit parity reduces dependence on costly physical prototypes, improves validation efficiency, increases test coverage and accelerates time-to-market for next-generation cockpit platforms.” - Andrew Poliak, CTO, Panasonic Automotive Systems America. By leveraging vSkipGen and Unified HMI on C4A-metal, automotive manufacturers can now build, test, and validate full AAOS stacks in a hardware-independent, cloud-native environment, moving from physical dependency to scalable digital twins. Figure 1: Unified HMI solution overview How vSkipGen works: Virtualizing the cockpit with Cuttlefish Panasonic Automotive’s vSkipGen acts as a digital twin for physical CDC hardware. To provide a hardware-agnostic environment for Android virtual machines, vSkipGen uses components of Android Cuttlefish. At its core, vSkipGen leverages a cloud-optimized Virtual Machine Monitor (VMM) built on crosvm (the open-source, security-focused VMM originally developed for Chrome OS) which utilizes Linux KVM (Kernel-based Virtual Machine) for hardware-assisted virtualization. The VMM backend is implemented in Rust for enhanced security, scalability, and performance. By running the full stack on C4A-metal (see Figure 2), Panasonic lets developers boot a full AAOS image in the cloud, which behaves exactly like the software running in a physical vehicle. The platform virtualizes all essential peripherals, such as the audio, GPU, sensors, cameras, Controller Area Network (CAN), Bluetooth, and Wi-Fi, using the VirtIO standard. This VirtIO-native approach allows developers to interact with the virtual devices exactly as they would with the physical hardware. Furthermore, vSkipGen seamlessly connects with automotive simulators and software-in-the-loop (SiL) environments for comprehensive scenario and edge-case validation, enabling teams to conduct software validation and run automated test suites without needing early access to physical prototypes. Figure 2: vSkipGen Cockpit virtualization architecture Figure 3: Remote GPU rendering flow Accelerating graphics on the go with Unified HMI High-performance graphics is central to the modern driving experience, but rendering it in a virtual environment can be challenging. Panasonic’s Unified HMI solves this by decoupling HMI rendering from specific hardware. A lightweight Unified HMI component operates outside the VM to offload OpenGL ES commands (the specific data being rendered) from the Cuttlefish instance to GPU-equipped compute resources on Google Cloud, which handle the workloads with hardware acceleration. The rendered UI is then streamed to any standard browser using low-latency WebRTC. This helps ensure that global development teams can experience high-fidelity visuals in real time, regardless of their location. Unified HMI establishes a unified virtual display layer across multiple Electronic Control Units (ECUs) and virtual machines, allowing applications to render to different displays from anywhere within the system. Benefits for software-defined vehicle development With C4A-metal and Panasonic Automotive’s vSkipGen, manufacturers building software-defined vehicles can: Build and validate AAOS-based software in the cloud using Cuttlefish before physical hardware is available Use industry-standard VirtIO to emulate critical CDC devices for robust, production-grade validation Stream interactive cockpit experiences to any browser to support distributed engineering teams Run multiple isolated CDC instances in parallel to support large-scale automated testing and CI/CD pipelines Reduce cost and environmental impact by minimizing the need for expensive physical hardware prototypes, supporting sustainable development practices Enjoy a future-ready architecture built on open standards, crosvm, and Rust for enhanced security, performance, and long-term adaptability Get started C4A-metal is generally available worldwide; please refer to the public documentation for additional information. Panasonic Automotive’s vSkipGen with Unified HMI for Google Cloud will soon be available for evaluation access. To explore how these solutions can help you speed up cockpit software development, contact the team at vSkipGenSupport@panasonicautomotive.com. Disclaimer All trademarks, tradenames, and service marks used herein are the property of their respective owners. Maestro News, gelişmeyi Maestro Dev ekseninde — yazılım, yapay zekâ, bulut ve ürün teslimatı — özgün Türkçe dilde yeniden çerçeveliyor.

22 Temmuz 2026 14:423 dk okuma