Building a Scaleable Deep Learning Serving Environment for Keras Models Using NVIDIA TensorRT Server and Google Cloud
Google unveils second-generation TPU chips to accelerate machine learning | VentureBeat
Google AI Research Introduces Byte-Stream Sequence Models For Efficient Sequence Modeling For On-Device Machine Learning ML - MarkTechPost
Coolingzone.com - Google tuns data center cooling over to AI to reduce energy usage by 40 percent
Google Cloud TPU Details Revealed
DeepMind AI Reduces Google Data Centre Cooling Bill by 40%
Google's TPU Chip Helped It Avoid Building Dozens of New Data Centers | WIRED
Machine learning workflow | AI Platform | Google Cloud
Google launches Google.ai site, announces powerful new Google Cloud TPUs
Google Cloud Platform (GCP) for Machine Learning & AI | by crossML engineering | crossML Blog | Medium
Why AI and machine learning are drifting away from the cloud - Protocol
Introduction to Machine Learning on Google Cloud Platform - Whizlabs Blog
Google's AutoML And BigQuery ML: The Rise Of One-Click Hyperscale Machine Learning
Google Has Built Its Own Custom Chip for AI Servers | Data Center Knowledge | News and analysis for the data center industry
The Best Way to Host Machine Learning Models on the Web
Google Cloud Platform Connectivity | Enterprise Cloud Knowledge Center
Hardware Recommendations for Machine Learning / AI | Puget Systems
Multi-Cloud Machine Learning with data from on-premises and training with Google Cloud Vertex platform (Part 1 of 2) - Virtualize Applications
When Push Comes To Shove, Google Invests Heavily In GPU Compute
Google uses AI to cut data centre energy use by 15% | Energy efficiency | The Guardian
Tensor Processing Unit - Wikipedia
Google's Cloud Platform will get GPU machines in early 2017 | TechCrunch
Serving Machine Learning models with Google Vertex AI | by Sascha Heyer | Google Cloud - Community | Medium
Google just gave control over data center cooling to an AI | MIT Technology Review
