- 369 profiles
- 302 categories
Featured Products
All Products & Services
Google Cloud Data Transfer is designed to allow users to transfer data to the cloud quickly and securely.
AlloyDB for PostgreSQL A fully managed PostgreSQL-compatible database service for your most demanding enterprise workloads. AlloyDB combines the best of Google with PostgreSQL, for superior performance, scale, and availability.
Cloud Functions for Firebase is a serverless framework that enables developers to run backend code in response to events triggered by Firebase and Google Cloud services. By supporting JavaScript, TypeScript, and Python, it allows for the creation of scalable and secure applications without the need to manage servers. Key Features: - Event-Driven Execution: Functions can be triggered by various Firebase services, including Realtime Database, Firestore, Authentication, and Analytics, allowing for responsive and dynamic application behavior. - Serverless Environment: Automatically scales computing resources to match usage patterns, eliminating the need for server management and ensuring optimal performance. - Security: Keeps application logic private and secure, preventing client-side tampering and ensuring that code executes as intended. - Multi-Language Support: Supports development in JavaScript, TypeScript, and Python, providing flexibility for developers to use their preferred programming languages. - Integration with Firebase Services: Seamlessly integrates with other Firebase features like Firebase Hosting and Cloud Storage, enabling a cohesive development experience. Primary Value and Solutions: Cloud Functions for Firebase simplifies backend development by automating the execution of server-side code in response to specific events, such as database changes, user authentication events, or file uploads. This serverless approach allows developers to focus on building features without the overhead of managing infrastructure. By handling tasks like sending notifications, processing data, and integrating with third-party services, it enhances application responsiveness and scalability, ultimately improving user engagement and satisfaction.
Service Catalog Control and make internal enterprise solutions easily discoverable.
Sole-tenant nodes in Google Compute Engine provide dedicated physical servers exclusively for your project's virtual machines . This setup ensures that your VMs do not share host hardware with VMs from other projects, offering enhanced security and compliance by maintaining physical isolation. Sole-tenant nodes support the same features as standard Compute Engine VMs, including transparent scheduling and block storage, while adding an extra layer of hardware isolation. Key Features and Functionality: - Dedicated Hardware: Each sole-tenant node is a physical server allocated solely to your project, ensuring that only your VMs run on that hardware. - Flexible VM Provisioning: You can provision multiple VMs of various machine types on a single node, optimizing resource utilization. - CPU Overcommit: Over-provision virtual CPU resources by up to two times, allowing for efficient use of host CPUs and cost optimization. - Live Migration: Maintain VM uptime during host maintenance events through live migration capabilities. - Node Affinity Labels: Control VM placement using affinity labels to group or separate workloads based on your requirements. Primary Value and Problem Solved: Sole-tenant nodes address the need for physical isolation in cloud environments, which is crucial for organizations with strict compliance, regulatory, or security requirements. By providing dedicated hardware, they eliminate the "noisy neighbor" effect, ensuring consistent and predictable performance for sensitive workloads. Additionally, they facilitate easier management of software licenses that require per-core or per-processor licensing, as you have full visibility and control over the underlying hardware.
Blocks makes creating 3D models easy, powerful, and fun
Yu-Track Enterprise is an IT platform that allows you to know and manage in real time the behaviour of your workforce. Plan the routes, schedule the visit to your customers and obtain the most important KBI's with which to organize your sales strategy.
Gemma 3n is a generative AI model optimized for deployment on everyday devices such as smartphones, laptops, and tablets. It introduces innovations in parameter-efficient processing, including Per-Layer Embedding (PLE) parameter caching and the MatFormer architecture, which collectively reduce computational and memory demands. The model supports audio, text, and visual inputs, enabling a wide range of applications from speech recognition to image analysis. Key Features and Functionality: - Audio Input Handling: Processes sound data for tasks like speech recognition, translation, and audio analysis. - Multimodal Capabilities: Handles visual and text inputs, facilitating comprehensive understanding and analysis of diverse data types. - Vision Encoder: Incorporates a high-performance MobileNet-V5 encoder to enhance the speed and accuracy of visual data processing. - PLE Caching: Utilizes Per-Layer Embedding parameters that can be cached to local storage, reducing memory usage during model execution. - MatFormer Architecture: Employs the Matryoshka Transformer architecture, allowing selective activation of model parameters to decrease computational costs and response times. - Conditional Parameter Loading: Offers the flexibility to load specific parameters dynamically, such as those for vision and audio, optimizing memory usage based on task requirements. - Extensive Language Support: Trained in over 140 languages, enabling broad linguistic capabilities. - 32K Token Context Window: Provides a substantial input context, allowing for the processing of large datasets and complex tasks. Primary Value and User Solutions: Gemma 3n addresses the challenge of deploying advanced AI capabilities on resource-constrained devices by offering a model that balances performance with efficiency. Its parameter-efficient design ensures that users can run sophisticated AI applications without compromising device performance or battery life. The model's support for multiple input modalities—audio, text, and visual—enables developers to create versatile applications that can interpret and generate content across various data types. By providing open weights and licensing for responsible commercial use, Gemma 3n empowers developers to fine-tune and deploy the model in diverse projects, fostering innovation in AI applications across different platforms and devices.
Mandiant responds to the world's largest breaches. We combine our frontline expertise and deep understanding of global attacker behavior to respond to breaches and help organizations prepare their defenses and operations against compromise.
Google Reviews
Verified User in Information Technology and Services
Centralized Security Monitoring with Initial Complexity
Ethan J.
Fast, High-Quality Image Generation That Follows Detailed Prompts
AMOL J.
Google Tensorflow Enterprise Scalable and Reliable Workfolw
About
What is Google?
Organize the world’s information and make it universally accessible and useful.