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Google Cloud VMware Engine Easily lift and shift your VMware-based applications to Google Cloud without changes to your apps, tools, or processes. Includes all the hardware and VMware licenses to run in a dedicated VMware SDDC in Google Cloud.
Security teams in cloud are faced with an overwhelming amount of information to process in order to keep their environments secure. Keeping up with everything manually is a difficult, never-ending task where failure can have high consequences. Google Cloud Policy Intelligence helps enterprises understand and manage their policies to reduce their risk. By providing more visibility and automation, customers can increase security without increasing their workload.
Make every interaction count
Google Cloud's Tau Virtual Machines (VMs are designed to deliver exceptional price-performance for scale-out workloads. Leveraging the latest 3rd Generation AMD EPYC™ processors, Tau VMs offer up to 42% better price-performance compared to general-purpose VMs from other leading cloud providers. This makes them ideal for applications such as web servers, containerized microservices, media transcoding, and large-scale Java applications. Key Features and Functionality: - High Performance: Tau VMs provide up to 60 vCPUs per VM, with 4 GB of memory per vCPU, ensuring robust performance for demanding workloads. - Cost Efficiency: Offering up to 42% higher price-performance, Tau VMs enable significant cost savings for scale-out applications. - Architecture Choice: Customers can choose between x86-based VMs powered by AMD EPYC processors and Arm-based VMs powered by Ampere Altra processors, allowing flexibility to meet specific workload requirements. - Seamless Integration with Google Kubernetes Engine (GKE: Tau VMs are fully supported by GKE, facilitating optimized price-performance for containerized workloads. - Scalability: With predefined VM shapes and up to 32 Gbps networking bandwidth, Tau VMs are well-suited for horizontally scalable applications. Primary Value and User Benefits: Tau VMs address the need for high-performance, cost-effective solutions for scale-out workloads. By offering superior price-performance, they enable businesses to run demanding applications more efficiently, reducing total cost of ownership without compromising on performance. The flexibility in architecture choice and seamless integration with GKE further enhance their appeal for modern, cloud-native applications.
Vertex AI Search for Retail, now known as Vertex AI Search for Commerce, is a comprehensive solution designed to enhance digital commerce platforms by integrating Google-quality search, browsing, recommendations, and conversational commerce capabilities. This fully managed service leverages advanced artificial intelligence to understand user intent and context, delivering highly relevant and personalized shopping experiences that drive higher conversions and reduce search abandonment. Key Features and Functionality: - State-of-the-Art AI: Utilizes Google's expertise in AI to enable advanced query understanding and personalization, resulting in improved search and browse results, as well as recommendations, even for broad queries. - Optimized Results: Employs user interaction and ranking models to meet specific business goals, allowing customization of recommendations through page-level optimization, buy-it-again, and revenue optimization capabilities. - Fully Managed Service: Eliminates the need for data preprocessing, machine learning model training, load balancing, or manual infrastructure provisioning, as these are handled automatically. - Security and Compliance: Ensures data isolation with strong access controls and supports compliance with regulations such as the General Data Protection Regulation . Primary Value and User Solutions: Vertex AI Search for Commerce addresses the challenge of delivering relevant and personalized product discovery experiences in digital commerce. By leveraging advanced AI capabilities, it enhances search accuracy, provides personalized recommendations, and supports multimodal search inputs, including text and images. This leads to increased customer engagement, higher conversion rates, and reduced search abandonment, ultimately driving greater revenue for retailers.
Google Cloud's Media Translation API enables real-time translation of audio content directly from speech, facilitating seamless multilingual communication for applications such as live video chats, podcasts, and webinars. By leveraging Google's advanced machine learning technologies, the API ensures high accuracy and low-latency streaming translations, enhancing user engagement across diverse languages and regions. Key Features and Functionality: - Streaming Translation: Provides real-time translation during streaming audio input from microphones or prerecorded audio files, optimized for reduced latency. - Automatic Punctuation: Accurately punctuates translation results, including commas, periods, and question marks, for improved readability. - Enhanced Models: Offers specialized models tailored for specific audio use cases, such as video and phone calls, to optimize translation accuracy. - Language Support: Supports translation across 12 languages, enabling broad international reach. Primary Value and User Solutions: The Media Translation API addresses the challenge of real-time, accurate audio translation, allowing businesses and developers to integrate multilingual capabilities into their applications effortlessly. This enhances user experience by enabling instant communication across language barriers, facilitating global engagement, and expanding market reach. The API's low-latency streaming translation ensures that interactions remain fluid and natural, which is crucial for applications requiring immediate translation, such as customer support chatbots and interactive language learning tools.
Fully managed, code-free data integration at any scale.
Moving VMs to the cloud can deliver compelling benefits, but the mechanics of data and workload migration may strain limited IT resources.
BeyondCorp is a Zero Trust security framework modeled by Google that shifts access controls from the perimeter to individual devices and users. The end result allows employees to work securely from any location without the need for a traditional VPN.
Google Reviews
Priya B.
Senior HR Recruiter (Hiring for US Staffing Positions)Effective Security Monitoring and Threat Detection
Arpit S.
Business AnalystExceptional Performance for Large-Scale AI Training with Seamless Google Cloud Integration
Ananthi S.
Software Engineer | Full Stack Developer | AI Engineer (LLM Evaluation, RLHF, Fine-tuning) | PythonEasy to build conversational experiences with good integrations
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