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TensorFlow Enterprise Reliability and performance for AI applications with enterprise-grade support and managed services.
Cloud Tools for Eclipse is a Google-sponsored open source plugin that supports Google Cloud Platform development inside the Eclipse IDE
A cloud service that manages the wireless communications of devices transmitting in the Citizens Broadband Radio Spectrum (CBRS) band, in order to prevent harmful interference to higher-priority users.
AI is pervasive today, from consumer to enterprise applications. With the explosive growth of connected devices, combined with a demand for privacy/confidentiality, low latency and bandwidth constraints, AI models trained in the cloud increasingly need to be run at the edge.
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.
Fully managed development environments built to meet the needs of security-sensitive enterprises. It enhances the security of development environments while accelerating developer onboarding and productivity, including a native integration with Duet AI.
Get access to startup experts, your Google Cloud and Firebase costs covered up to $200,000 USD (up to $350,000 USD for AI startups) over 2 years, technical training, business support, and Google-wide offers. To receive benefits, you must have an active Google Cloud account.
sofia-ml is a suite of fast incremental algorithms for machine learning (sofia-ml) that can be used for training models for classification, regression, ranking, or combined regression and ranking, intended to aid researchers and practitioners who require fast methods for classification and ranking on large, sparse data sets.
Enable customers to find and purchase your solutions on multiple cloud providers, direct or through your channel.
Google Reviews
Sonu P.
Mechanical Engineer at Parvati Engineering WorksUseful when I need targeted results
Harshul S.
IT & Networking Professional | Cybersecurity & Firewall Specialist | Expert in Networking, System Administration & Technical Support | CompTIA Security+ | JNCIA-Junos CertifiedSeamless, Mature SDK That Streamlines ML Development, Deployment, and Monitoring
Naina Y.
Easy Image Creation and Editing
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