Kaseya

MAY 13, 2021

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

CIO

JULY 5, 2023

SustainableIT.org recently released its first set of IT-based environmental, social and governance standards to provide CIOs with precise technical guidance about how to reduce greenhouse gas emissions and reduce energy consumption. What the bigger cloud providers can do is negotiate better contracts with clean energy providers. “By

Sustainability 130

Sustainability Artificial Inteligence Technical Review Data Center 130

CIO

JULY 28, 2023

JLL, for instance, provides facilities management services for many cloud and data center operators. To counteract that, JLL has targeted commercial segments that are experiencing high growth, such as cloud and data center operators, which require lots of square footage.

Real Estate 208

Real Estate Artificial Inteligence Generative AI Data Center 208

d2iq

FEBRUARY 6, 2023

Another project entitled “ DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes ” takes in configuration details and creates a cluster on Google cloud that runs predefined deep-learning-enabled image analysis pipelines managed by Kubernetes.

Blockchain 64

Blockchain Healthcare Artificial Inteligence Energy 64

Perficient

MAY 11, 2023

Security : Azure DevOps offers enterprise-grade security and compliance features, including role-based access control, multi-factor authentication, and audit trails. Built on top of Kubernetes, it provides robust security, compliance, and monitoring capabilities, as well as features and tools to enhance the development process.

Weak Development Team 69

Weak Development Team Azure Software Review DevOps 69

O'Reilly Media - Ideas

JUNE 11, 2019

Last year we began tracking startups building specialized hardware for deep learning and AI for training and inference as well as for use in edge devices and in data centers. We already have specialized hardware for inference (and even training—TPUs on the Google Cloud Platform). Source: Ben Lorica.

Artificial Inteligence 105

Artificial Inteligence Tools Machine Learning Open Source 105