Damit Tesla wirklich einen Güterbahnhof und weitere Lagerflächen für seine Gigafactory Berlin bekommt, muss der Bebauungsplan angepasst werden. (Gigafactory Berlin, Elektroauto)
Quelle: Golem
Die US-Regierung sieht Twitter als Wiederholungstäter bei Datenschutzverstößen und Elon Musk will sich das Geld für die Übernahme nun anders besorgen. (Twitter, Börse)
Quelle: Golem
Gartner® named Google as a Leader in the 2022 Magic Quadrant™ for Cloud AI Developer Services report. This evaluation covered Google’s language, vision and structured data products including AutoML, all of which we deliver through Google Cloud. We believe this recognition is a reflection of the confidence and satisfaction that customers have in our language, vision, and AutoML products for developers. Google remains a Leader for the third year in a row, based upon the completeness of our vision and our ability to execute. Developers benefit in many ways by using Cloud AI services and solutions. Customers recognize the advantages of Google’s AI and ML services for developers, such as Vertex AI, BigQuery ML, AutoML and AI APIs. In addition, customers benefit from the pace of progress in the field of Responsible AI and actionable ethics processes applied to all customer and partner solutions leveraging Google Cloud technology, as well as our core architecture including the Vertex AI platform, vision, conversational AI, language and structured data, and optimization services and key vertical industry solutions. We believe that our ‘Leader’ placement validates this vision for AI developer tools. Let’s take a closer look at some of the report findings.ML tools purpose-built for developersGoogle’s machine learning tools have been built by developers, for developers, based on the groundbreaking research generated from Google Research and DeepMind. This developer empathy drives product development, which supports the developer community to achieve deep value from Google’s AI and ML services. An example of this is the unification of all of the tools needed for building, deploying and managing ML models into one ML platform, Vertex AI, resulting in accelerated time to production. They also cite BigQuery ML, AutoML for language, vision video and tabular data) and prebuilt ML APIs (such as speech and translation) as having high utility for developers at all levels of ML expertise to build custom AI and quickly infuse AI into their applications. Leading organizations like OTOY, Allen Institute for AI and DeepMind (an Alphabet subsidiary) choose Google for ML, and enterprises like Twitter, Wayfair and The Home Depot shared more about their partnership with Google in their recent sessions at Google Next 2021.Responsible AI principles and practicesResponsible AI is a critical component of successful AI. A 2020 study commissioned by Google Cloud and the Economic Intelligence Unit highlighted that ethical AI does not only prevent organizations from making egregious mistakes, but that the value of responsible AI practices for competitive edge, as well as talent acquisition and retention are notable. At Google, we not only apply our ethics review process to first party platforms and solutions, to ensure that our services design-in responsible AI from the outset, we also consult with customers and partners based on AI principles to deliver accountability and avoid unfair biases. In addition, our best-in-class tools provide developers with the functionality they need to evaluate fairness and biases in datasets and models. Our Explainable AI tools such as model cards provide model transparency in a structured, accessible way, and the What-If Tool is essential for developers and data scientists to evaluate, debug and improve their ML models. Clear and understandable product architectureGoogle Cloud’s investment in our ML product portfolio has led to a comprehensive, integrated and open offering that spans breadth (across vision, conversational AI, language and structured data, and optimization services) and depth (core AI services, with features such as Vertex AI Pipelines and Vertex Explainable AI built on top). Industry-specific solutions tailored by Google for retail, financial services, manufacturing, media and healthcare customers, such as Recommendations AI, Visual Inspection AI, Media Translation, Healthcare Data Engine, add another layer leveraging this foundational platform to help organizations and users adopt machine learning solutions more easily. At Google Cloud, we refuse to make developers jump through hoops to derive value out of our technology; instead, we bring the value directly to them by ensuring that all of our AI and ML products and solutions work seamlessly together. To download the full report, click here. Get started on Vertex AI and talk with our sales team.Disclaimer:Gartner, Magic Quadrant for Cloud AI Developer Services, Van Baker, Arun Batchu, Erick Brethenoux, Svetlana Sicular, Mike Fang, May 23, 2022.Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.Related ArticleForrester names Google Cloud a leader in AI InfrastructureGoogle Cloud named a Leader in The Forrester Wave™: AI Infrastructure, Q4 2021 reportRead Article
Quelle: Google Cloud Platform
Heimnetze sind Inseln mit einer schmalen und einsamen Anbindung zum Internet. Warum eine Öffnung dieser strengen Isolation sinnvoll ist. Von Jochen Demmer (Heimvernetzung, WLAN)
Quelle: Golem
Das Tape-Archiv eines BBS mit Schwarzkopien aus den 90ern lädt Google-Entwickler Tavis Ormandy zum Retro-Hacking ein. (Reverse Engineering, Linux)
Quelle: Golem
Every site starts with an idea. WordPress Starter is a new, beautifully pared-back plan designed to put that idea center stage. For just $5/month.
Like the WordPress Pro plan (more on that below), WordPress Starter brings you the fastest WordPress managed hosting on the planet. Unlimited site traffic. And a revolutionary price.
Make Your Mark
From building your audience with a blog. To sharing your business, design, expertise, or experiences with the world. If you’re looking to make your work visible, and make it visual, the Starter plan has you covered.
Let’s take a look at the details.
Put Your Stamp on It – with a Custom Domain
WordPress Starter unlocks custom domains – the ability to make your site’s address on the web your own.
So instead of your web address looking like this:
My-site.wordpress.com
You can put your stamp on it, and make it look like this:
My-site.com
It’s the artist’s signature that separates a Picasso from a print.
If you want to own a piece of the web, a custom domain makes a powerful statement. And your first year of domain registration is on us.
Make It Visual. Make It Visible.
Photos and images can really set your site apart. Making it visual goes a long way to making it visible.
Starter gives you a big boost in storage – a roomy 6GB for all your photos and images. So you’ll never need to think twice about adding visual flavor to every post. And every page.
From Visible to Profitable – with Simple Payments
As your site and audience grows, WordPress Starter has everything you need to start taking payments from your site visitors.
Simple payments – included with Starter – bring you three ways to do exactly that:
The Donations Form block gives you a simple way to accept tips and donationsThe Premium Content block opens up the option to sell one-off, monthly, or yearly premium contentThe Payment Button block gives you a fast way to take payments and set up subscriptions with Stripe
Track Your Success – with Google Analytics
Finally, Starter opens up an integration with Google Analytics. If you’re ready to dive a little deeper than the default WordPress.com stats, connecting your site to GA opens the door to a world of information.
Who’s visiting your site, who’s coming back for more, and which content is really resonating with them is the tip of the iceberg.
WordPress Starter vs. WordPress Pro
So what’s the difference between WordPress Starter and the recently announced WordPress Pro plan?
WordPress Starter
WordPress Starter unlocks custom domains and the space to make your site beautifully visual and visible. It does that with a big boost in storage for your images – from 1GB on the free plan to 6GB on Starter. It also includes simple payments to get you started selling content, donations, and subscriptions. And with its Google Analytics integration, you’ll always be able to dig deep on what’s resonating with your audience, so you can double down on your success.
And with Starter, you’ll never have to worry about site traffic. Because traffic is unlimited.
Starter is a solid place to land if you want a great looking, blazing fast blog or website with simple payments baked in, but don’t want or need to dig deeper into design customization, interactivity, or integrations.
Starter costs just $5/month.
WordPress Pro
WordPress Pro unlocks access to over 50,000 plugins and themes – an infinite, open library of ways to customize the features, interactivity, integration and design of your home on the web. Whatever your ambitions.
Pair that with:
Everything included with Starter50GB of storage for images, audio, and videosA full range of ecommerce and payment tools (with even lower processing fees of just 2.9% +30¢), including the full power of WooCommerce out of the boxAdvanced SEO, design, and social media toolsBeautiful premium themesGoogle Analytics integrationAutomated one-click backupsSFTP and database accessA free custom domain for your first yearUnlimited user adminsThe ability to earn ad revenue from your sitePremium expert support by email and live chat And a lot more than we could comfortably fit into this paragraph.
Which gives you the raw power to build and grow any site, store, and audience you can think of. Whether you’re starting out, or you’re a seasoned WordPress publisher.
Pro is $15/month, billed annually.
Spoiler: There’s Another Reason We Called It Starter
We called the new plan WordPress Starter because it gives you an affordable way to get a beautiful site started and shipped. But that’s not the only reason.
Coming soon, we’ll be introducing a range of add-ons that pair with Starter to give you an extra boost. It’s an a la carte way to add just what you need to Starter. And nothing you don’t.
Stay tuned for more updates on that. In the meantime, we’d love to hear what’s important to you in the comments.
Questions? We’ve Got Answers
Compare every feature for the Starter and Pro plansWordPress Starter (support documentation)WordPress Pro (support documentation)
Quelle: RedHat Stack
We’re continuing to expand our global footprint — and we’re doing it rapidly. In 2020, we announced our plans to launch a new cloud region to help accelerate the economic recovery and growth of Spain. Today, we’re excited to announce that our new Google Cloud region in Madrid is officially open. Designed to help meet the growing technology needs of Spanish businesses, the new Madrid region (europe-southwest1) provides low-latency, highly available cloud services with high international security and data protection standards — all on the cleanest cloud in the industry. The new Madrid region joins our network of 33 regions throughout the globe, helping local Spanish businesses connect with users everywhere. You can join us at our region celebration on May 25 here. A cloud built for SpainGoogle Cloud’s global network of regions is the cornerstone of our cloud infrastructure, enabling us to deliver high-performance, low-latency, sustainable cloud-based services and products to support our customers across the globe.Built in partnership with Telefónica, the new Madrid region offers Google Cloud’s unique global infrastructure locally, creating new opportunities for digital transformation across various industries and making it easier for organizations at any stage of their cloud journey to securely deliver faster, more reliable customer experiences. Accelerating digital transformation also requires cloud services that meet regulatory compliance and digital governance requirements. In particular, highly regulated sectors like government, healthcare, and financial services need additional controls to store data and run workloads locally. “We welcome the Cloud capabilities that the Google Cloud region is bringing to Spain. It is especially important for the alignment with the security levels that public sector organizations demand and as required in the National Security Scheme. They must take advantage of a cloud that is offered locally with the highest security guarantees. The collaboration with hyperscalers is key. It is also essential to continue advancing with best practices adoption, training, security configurations and supervision” Luis Jimenez, Subdirector del Centro Criptológico NacionalHaving a new region in Madrid helps remove these barriers to cloud adoption, allowing both Spanish businesses and government entities to meet their availability, data residency, and sustainability needs in Spain while also accelerating their digital transformation. The Madrid region is launching with three cloud zones to prevent service interruptions, and our standard set of products, including Compute Engine, Google Kubernetes Engine, Cloud Storage, Persistent Disk, CloudSQL, and Cloud Identity. . Customers will also get access to smarter analytics capabilities, AI and ML solutions, and application modernization tools that allow them to unleash the full potential of cloud computing. At the same time, customers will benefit from controls that enable them to maintain the highest security, data residency, and compliance standards, especially those that deal with specific data storage requirements. “In DIA Group we have always been committed to seeking innovative solutions to improve our customers’ experience while respecting the trust they place on us every day. For this reason we have decided to rely on the new Google Cloud region in Madrid for some of our most critical workloads like our store operations (orders, inventory, product stock, etc). This will guarantee our customers a low-latency service while managing their data within the national borders, as well as optimized performance.” – Carlos Valero, Chief Information Officer, Grupo DIA”Offering our customers low-latency services while keeping workloads and data management safe, is vital for us. The availability of the new Google Cloud region in Madrid represents a great step forward that will allow us to achieve our goals and meet the expectations of our customers by offering them a premium user experience without neglecting data security and residency.” – Carmen Lopez Herranz, CTO, BBVAGoing beyond with a transformation cloudAt Google Cloud, we’re constantly working to help customers across various industries achieve what was once considered impossible, reinvent themselves, and transform the way they serve their customers using digital technology — all on the cleanest cloud in the industry.Our transformation cloud is helping businesses become: Smarter: Google Cloud lets you leverage data for deeper insights with a unified platform that makes it easy to get value from structured or unstructured data, regardless of where it resides. Open: Google Cloud’s commitment to multicloud, hybrid cloud, and open source provides the freedom to choose the right solutions, allowing developers to build and innovate faster, in any environment. Connected: Digital transformation isn’t just about technology — it’s about people and culture. In an era where work can happen anywhere, Google Cloud provides the tools needed to be more innovative, productive, and make faster decisions, together. Trusted: Google Cloud offers strong security capabilities and a zero-trust architecture to help protect data, applications, and infrastructure against potential threats. We also provide specific offerings and work closely with local partners to help address digital sovereignty requirements emerging from both customers and policymakers.In addition to the launch of our new Madrid cloud region, we’re making other commitments that will pave the way for new business innovations and development in Spain. TheGrace Hopper subsea cable landed in September 2021 in Bilbao, connecting Spain and the UK with the United States for increased performance and greater support using the same network that powers Google infrastructure and products. We’re also helping people develop new skills that will enable society to champion cloud technology and growth in the future. Google has already helped to train more than 1 million people with our Grow with Google program in Spain, and we have future plans to open a center of excellence for cybersecurity in Malaga and support the creation of theAI Lab Granada, in collaboration with Indra Minsait in the coming years. For more details about the Madrid region, head to our cloud locations page, where you’ll find updates on the availability of additional services and regions.Related ArticleThe new Google Cloud region in Columbus, Ohio is openGoogle Cloud’s Columbus, Ohio region is now open, bringing a second region to the midwest, for a total of 33 regions across the globe.Read Article
Quelle: Google Cloud Platform
We’re excited to announce Confidential Computing on the latest Google Compute Engine N2D and C2D Virtual Machines. At Google Cloud, we’re constantly striving to deliver performance improvements and feature enhancements. Last November, we announced the general availability of general-purpose N2D machine types running on 3rd Gen AMD EPYC™ processors. Then, in February, we announced the general availability of compute-optimized C2D machine types running on the same 3rd gen processors. Today, we are excited to announce that both of these new N2D and C2D machine types now offer Confidential Computing. By default, Google Cloud keeps all data encrypted, in-transit between customers and our data centers, and at rest. We believe the future of computing will increasingly shift to private, encrypted services where users can be confident that their data is not being exposed to cloud providers or their own insiders. Confidential Computing helps make this future possible by keeping data encrypted in memory, and elsewhere outside the CPU, while it is being processed – all without needing any code changes to applications.General Purpose Confidential VMs on N2DThe first product in Google Cloud’s Confidential Computing portfolio was Confidential VM. A Confidential VM is a type of Compute Engine VM that helps ensure that your data and applications stay private and encrypted even while in use.Today, Confidential VMs are available in Preview on general-purpose N2D machine types powered by 3rd Gen AMD EPYC processors. We worked closely with the AMD Cloud Solution engineering team to help ensure that the VM’s memory encryption doesn’t interfere with workload performance. N2D VMs are a great option for both general-purpose workloads and workloads that require larger VM sizes and memory ratios. General-purpose workloads that require a balance of compute and memory, like web applications and databases, can benefit from N2D’s performance, price, and wide array of features. Compute-Optimized Confidential VMs on C2DWe’re also optimizing Confidential Computing for more types of workloads. Today, Confidential VMs are also available in Preview on compute-optimized C2D machine types. C2D instances provide the largest VM sizes within the compute-optimized VM family and are optimized for memory-bound workloads such as high-performance databases and high-performance computing (HPC) workloads. Adding the compute-optimized machine family to our Confidential Computing portfolio gives you the ability to optimize performance-intensive workloads while maintaining confidentiality and can expand which of your workloads can easily switch to be confidential. Early FindingsYellowDog, a cloud workload management company, is an early user of the new Confidential VMs in the C2D VM family.“At YellowDog, we believe there should be no barriers to adopting secure cloud computing. YellowDog tested workloads across tens of thousands of cores using the new Google C2D VMs running on 3rd Gen AMD EPYC processors.We were truly impressed to discover that the Confidential VMs’ provisioning times were fantastic and the C2D VMs ran with no discernible difference in performance when enabling and disabling Confidential Computing,” said Simon Ponsford, CTO at YellowDog. “We at YellowDog recommend that anyone running secure workloads in Google Cloud enable the Confidential Computing feature by default.”Expanding Confidential Computing availabilityWe are expanding the availability of Confidential Computing, and Confidential VMs are now available in more regions and zones than before, anywhere N2D or C2D machines are available. Confidential N2D VMs and Confidential C2D VMs are available today in regions around the globe including us-central1 (Iowa), asia-southeast1 (Singapore), us-east1 (South Carolina), us-east4 (North Virginia), asia-east1 (Taiwan), and europe-west4 (Netherlands). The underpinnings of Confidential VMsConfidential N2D and C2D VMs with 3rd Gen AMD EPYC processors utilize AMD Secure Encrypted Virtualization (SEV). With the AMD SEV feature, Confidential VMs offer high performance for demanding computational tasks, while keeping VM memory encrypted with a dedicated per-VM instance key that is generated and managed by the processor. These keys are generated by the processor during VM creation and reside solely within it, making them unavailable to Google or other VMs running on the host. We’re currently supporting SEV on 3rd Gen AMD EPYC processors but will bring more advanced capabilities in the future.PricingConfidential N2D and C2D VMs with 3rd Gen AMD EPYC processors are offered at the same price as the previous generation Confidential N2D VMs. You can also take advantage of cost savings with spot pricing. To learn more, visit Confidential VM pricing. Ongoing Confidential Computing InvestmentToday’s announcement comes off the heels of the review that the Google Cloud Security team, Google Project Zero, and the AMD firmware and product security teams collaborated on of the technology and firmware that powers AMD Confidential Computing technology. Google Cloud and AMD are committed to securing sensitive workloads and shaping future Confidential Computing innovations. Getting StartedUpgrading your existing Confidential N2D VMs to use 3rd Gen AMD EPYC processors is easy. If you already use Confidential N2D machines or are just getting started, you can use the latest hardware by simply selecting “AMD Milan or later” as the CPU platform.To create a Confidential C2D VM, choose the C2D option when creating a new VM and check the box under “Confidential VM service” in the Google Cloud Console.With Confidential Computing, you can protect your data and run your most sensitive applications and services on N2D and C2D VMs.Related ArticleN2D VMs with latest AMD EPYC CPUs enable on average over 30% better price-performanceCompute Engine N2D VMs with 3rd Generation AMD EPYC processors deliver, on average, over 30% better price-performance compared to prior g…Read Article
Quelle: Google Cloud Platform
As a provider of software and services for global enterprises, Google Cloud understands that the quality and security of products is instrumental in maintaining trust among our customers. We are committed to providing products and services that help our customers meet their quality management objectives, ultimately helping organizations to meet their regulatory and customer requirements. At the heart of this commitment is our robust quality management system (QMS), a process-based approach that aims to achieve high standards of quality in all stages of the product or service lifecycle and which leverages our ISO 9001:2015 certification.In our new Quality Management System paper, we share the quality management principles and practices we follow that help us establish a defined and consistent process to continually monitor, manage, and improve the quality of our products and services. As with ISO 9001, Google Cloud’s QMS is predicated on seven quality management principles. These principles include: Customer focus: Through feedback collected from our customers, we have noted that they value security, speed, reliability, and productivity. At Google, we believe this is achieved by following defined practices for effective software development processes and customer communications. Therefore, Google focuses on Systems Development Lifecycle (SDLC) and Cloud Platform Support (CPS) as key components of our QMS.Leadership: Google’s quality policy is the foundation of its quality management program and is managed by Google’s Vice President of Security Engineering. The policy commits to controlling and maintaining the quality of Google Cloud products and related software development processes, limiting Google’s exposure to the risks arising from product quality issues, promoting continual improvement, and maintaining compliance with customer, legal and regulatory requirements.Engaging with people: We believe that for an effective and efficient QMS, it is important to involve people with diverse perspectives and different backgrounds, including our customers and our employees, and to respect and support them as individuals through recognition, empowerment, and learning opportunities. Google involves them from the first stage of the QMS context setting by gathering their requirements and feedback. Process approach: Google Cloud’s QMS uses the Plan-Do-Check-Act (PDCA) approach to process planning. We have defined four key process groups to achieve our quality management objectives, which are: Leadership and planning processes, Operational processes for software design and development, Evaluation and monitoring processes, and Improvement processes. By managing the inputs, activities, controls, outputs, and interfaces of these processes, we can establish and maintain system effectiveness.Improvement: Our proactive approach to quality management can help improve quality and expand business opportunities, enabling entire organizations to optimize operations and enhance performance. Evidence-based decision making: To help align our QMS with our business strategy, we collate and analyze pertinent information from internal and external sources to determine the potential impact on our context and subsequent strategy. Relationship management: Google directly conducts the data processing activities that are behind providing our services. However, we may engage some third-party suppliers to provide services related to customer and technical support. In such cases, our vendor onboarding processes (which includes consideration of the vendor’s requirements of Google) can facilitate streamlined supply chain integration.In a highly competitive, rapidly changing, and increasingly regulated environment, where quality is an integral part of top management agenda, Google holds its products and services to the highest standards of quality, enabling customers to transform their business through quality and become the quality leaders of tomorrow. You can learn more about Google Cloud’s quality management system by downloading the whitepaper.Related ArticleAnnouncing PSP’s cryptographic hardware offload at scale is now open sourceWe’re making the PSP Security Protocol for offloading encryption to network interface cards open source today. Here’s why.Read Article
Quelle: Google Cloud Platform
Microsoft is committed to the responsible advancement of AI to enable every person and organization to achieve more. Over the last few months, we have talked about advancements in our Azure infrastructure, Azure Cognitive Services, and Azure Machine Learning to make Azure better at supporting the AI needs of all our customers, regardless of their scale. Meanwhile, we also work closely with some of the leading research organizations around the world to empower them to build great AI.
Today, we’re thrilled to announce an expansion of our ongoing collaboration with Meta: Meta has selected Azure as a strategic cloud provider to help accelerate AI research and development.
As part of this deeper relationship, Meta will expand its use of Azure’s supercomputing power to accelerate AI research and development for its Meta AI group. Meta will utilize a dedicated Azure cluster of 5400 GPUs using the latest virtual machine (VM) series in Azure (NDm A100 v4 series, featuring NVIDIA A100 Tensor Core 80GB GPUs) for some of their large-scale AI research workloads. In 2021, Meta began using Microsoft Azure Virtual Machines (NVIDIA A100 80GB GPUs) for some of its large-scale AI research after experiencing Azure’s impressive performance and scale. With four times the GPU-to-GPU bandwidth between virtual machines compared to other public cloud offerings, the Azure platform enables faster distributed AI training. Meta used this, for example, to train their recent OPT-175B language model. The NDm A100 v4 VM series on Azure also gives customers the flexibility to configure clusters of any size automatically and dynamically from a few GPUs to thousands, and the ability to pause and resume during experimentation. Now, the Meta AI team is expanding their usage and bringing more cutting-edge machine learning training workloads to Azure to help further advance their leading AI research.
In addition, Meta and Microsoft will collaborate to scale PyTorch adoption on Azure and accelerate developers' journey from experimentation to production. Azure provides a comprehensive top to bottom stack for PyTorch users with best-in-class hardware (NDv4s and Infiniband). In the coming months, Microsoft will build new PyTorch development accelerators to facilitate rapid implementation of PyTorch-based solutions on Azure. Microsoft will also continue providing enterprise-grade support for PyTorch to enable customers and partners to deploy PyTorch models in production on both cloud and edge.
“We are excited to deepen our collaboration with Azure to advance Meta’s AI research, innovation, and open-source efforts in a way that benefits more developers around the world,” Jerome Pesenti, Vice President of AI, Meta. “With Azure’s compute power and 1.6 TB/s of interconnect bandwidth per VM we are able to accelerate our ever-growing training demands to better accommodate larger and more innovative AI models. Additionally, we’re happy to work with Microsoft in extending our experience to their customers using PyTorch in their journey from research to production.”
By scaling Azure’s supercomputing power to train large AI models for the world’s leading research organizations, and by expanding tools and resources for open source collaboration and experimentation, we can help unlock new opportunities for developers and the broader tech community, and further our mission to empower every person and organization around the world.
Quelle: Azure
