Google Distributed Cloud air-gapped appliance has been made generally available. This configuration brings Google’s cloud and AI capabilities to edge environments. That enables real-time processing of local data.
Google Distributed Cloud brings customers’ software stack from public cloud environments to on-premises environments. In this way, most Google Cloud services can also run on-premises.
For highly secure environments
The new configuration, “air-gapped appliance,” brings Google’s AI capabilities to these local environments. This new offering allows businesses and public services that need to meet strict security requirements to explore AI possibilities. The configuration works without connecting to Google Cloud or an internet connection.
For example, as an illustration, the offering has received Level 5 accreditation, allowing the U.S. Department of Defense to use the service for unclassified but sensitive information. Other scenarios for which the service can be used include disaster recovery and industrial automation. The offering has additionally been made resistant to extreme conditions. For example, extreme heat, shock and vibration should not be a problem by meeting MIL-STD-810H requirements.
Vertex AI
Capabilities now becoming available for Google Distributed Cloud include translation, speech, and optical character recognition (OCR), which converts text in photos into text that is readable by machines. Machine learning is additionally possible through Google’s deep learning container.
That offering is complemented by Infrastructure-as-a-Service services such as computing, networking, and storage, as well as Google Cloud services such as data transfer and data analytics capabilities. This means the Vertex AI platform can be run on-premises.