Google Unveils Ironwood, Its ‘Most Powerful’ and ‘Energy-Efficient’ AI Chip to Date

Google unveils Ironwood, its most powerful TPU, for the age of inference, and Axion Arm VMs promising up to 2× better ...
Becker's Hospital Review

How do hospitals define ‘safe to deploy’ for AI?

Hospitals define safe to deploy for AI by ensuring clinical validation, bias mitigation, and ethical transparency before use in patient care.

3 steps to transition to a data-first future with cloud adoption

Successful adoption can typically follow in three stages: assess and plan, pilot and migrate, then operationalize and scale.

Google to launch 7th gen TPU Ironwood in coming weeks, stepping up challenge to Nvidia: report

Google said its seventh generation Tensor Processing Unit Ironwood, will be launched for public use in the coming weeks.

Cisco and Nvidia Reimagine the Data Center for the AI Era

Cisco and Nvidia are reinventing the data center for the AI era with new hardware, shared blueprints, and a vision for faster ...
IEEE

A Heuristic Big Data Processing Multi Task Efficient Deployment Method Based on QoS Aware Clustering and Bayesian Classification in Cloud Environment

Abstract: The efficient deployment of Big Data processing tasks in cloud environments is the basic core function of Big Data processing, which refers to the effective deployment of tasks to the ...