

Google Cloud Tools for PowerShell lets you script, automate, and manage your Windows workloads running on Cloud Platform. Using PowerShell’s powerful scripting environment, customize your cloud workflows using the Windows tools you're already familiar with.

Workflows Combine Google Cloud services and APIs to build reliable applications, process automation, and data and machine learning pipelines. New customers get $300 in free credits to spend on Workflows. All customers get 5,000 steps and 2,000 external API calls per month, not charged against your credits.

Google's Deep Learning Containers are pre-configured Docker images designed to streamline the development and deployment of deep learning models. These containers come equipped with popular machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, along with their dependencies, enabling data scientists and developers to focus on model development without the hassle of environment setup. Key Features and Functionality: - Pre-configured Environments: Each container includes essential deep learning frameworks and libraries, ensuring compatibility and reducing setup time. - Scalability: Seamless integration with Google Cloud services allows for efficient scaling of training and inference tasks. - Flexibility: Support for various hardware accelerators, including GPUs and TPUs, enhances performance for computationally intensive tasks. - Portability: Consistent environments across development, testing, and production stages facilitate smoother transitions and deployments. Primary Value and Problem Solved: Deep Learning Containers address the complexities associated with setting up and managing deep learning environments. By providing ready-to-use, optimized containers, they eliminate the need for manual installation and configuration of machine learning frameworks and dependencies. This accelerates the development process, ensures consistency across different stages of model deployment, and allows teams to allocate more resources toward innovation and model refinement rather than infrastructure management.

Cloud Datastore is a highly scalable NoSQL database for your applications. Cloud Datastore automatically handles sharding and replication, providing you with a highly available and durable database that scales automatically to handle your applications' load.

Service mesh is a powerful abstraction that's become increasingly popular to deliver microservices and modern applications. In a service mesh, the service mesh data plane, with service proxies like Envoy, moves the traffic around and the service mesh control plane provides policy, configuration, and intelligence to these service proxies. Traffic Director is GCP's fully managed traffic control plane for service mesh. With Traffic Director, easily deploy global load balancing across clusters and VM instances in multiple regions, offload health checking from service proxies, and configure sophisticated traffic control policies.

Gemma 3 270M is a compact, text-only model within the Gemma family of generative AI models, designed to perform a variety of text generation tasks such as question answering, summarization, and reasoning. With 270 million parameters, it offers a balance between performance and efficiency, making it suitable for applications with limited computational resources. Key Features and Functionality: - Text Generation: Capable of generating coherent and contextually relevant text for tasks like summarization and question answering. - Function Calling: Supports function calling, enabling the creation of natural language interfaces for programming functions. - Wide Language Support: Trained to support over 140 languages, facilitating multilingual applications. - Efficient Deployment: Its relatively small size allows for deployment on devices with limited computational power. Primary Value and User Solutions: Gemma 3 270M provides developers with a versatile and efficient AI model for text-based applications. Its support for function calling allows for the development of natural language interfaces, enhancing user interaction with software systems. The model's wide language support enables the creation of applications that cater to a global audience. Additionally, its compact size ensures that it can be deployed on devices with limited resources, making advanced AI capabilities accessible in various environments.

Scalable, cloud-native firewall service Fully distributed, cloud-native, firewall service delivers granular control, including micro-segmentation without network re-architecting.

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Cloud Composer A fully managed workflow orchestration service built on Apache Airflow. New customers get $300 in free credits to spend on Composer or other Google Cloud products during the first 90 days.


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