They are designed for data centers and can be stacked to build “machine learning supercomputers” called TPU pods. A TPU pod contains 64 TPUs and provides up to 11.5 petaflops.

It is now certified to run its in-memory calculation engine on Google's Cloud Platform (GCP). ThoughtSpot also added new integration between its products and the Google Cloud Machine Learning Engine.

REDWOOD CITY, Calif., July 23, 2018 (GLOBE NEWSWIRE) -- Sumo Logic, the leading cloud-native, machine data analytics platform that delivers cont ...

Google this week announced a new cloud-based Machine Learning platform for developers or businesses that’ll allow users to access the company’s artificial intelligence technology, reports ...

Assisted by Atos, IGM is now using Microsoft Azure and Google Cloud Platform (GCP) for its operations. The migration from a legacy data center to the cloud will enable IGM to scale resources instantly ...

Machine learning predictions and system updates in real-time. ... AWS Kinesis or GCP Dataflow, to move streaming data (users' activities). The second part is a streaming computation engine, ...

Vertex AI: Enhanced support for generative AI and integration with other GCP services: Machine Learning Platforms: Amazon SageMaker: New capabilities including a web-based interface, ...

Google today announced the beta launch of Cloud AI Platform Pipelines, a service designed to deploy robust, repeatable AI pipelines along with monitoring, auditing, version tracking, and ...