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NSA’s ‘Secret War on Encryption’ Exposed
September 9, 2013
Documents made public by former intelligence analyst Edward Snowden reveal that the National Security Agency (NSA) has thwarted or circumvented many of the privacy safeguards of the Internet as part of a highly classified program codenamed Bullrun... Read more…
Cloud Providers Want Government Stamp of Approval
September 28, 2012
The GSAs FedRAMP program has cloud providers looking to receive government endorsement. Read more…
Can Service Providers Curb Privacy Concerns?
August 1, 2012
Is there any way to guarantee the security of cloud-based data? A security provider attempts to reduce vulnerabilities and increase confidence with auditing and compliance services. Read more…
Cloud Computing for Spies?
January 26, 2012
US intelligence agencies look to cloud computing to promote better cross-agency communication without compromising security. Read more…
Quantum Computing Holds Key to Perfect Cloud Security
January 23, 2012
Blind quantum computing protocol preserves the privacy of user data in the cloud. Read more…
Europeans Go Local for Cloud
January 17, 2012
Citing privacy concerns, European countries move to strengthen domestic cloud markets. Read more…
NSF Funds Multi-University Project on Cloud Trustworthiness
October 19, 2010
The National Science Foundation has granted $3 million to three American universities as they seek to unravel the complex relationship between cloud security and privacy in the context of service-level agreements. Read more…
Computers Without Borders
October 23, 2008
The cloud may be the ultimate form of globalisation: vast virtualised computer systems and electronic services know no borders. Read more…
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Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer
The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.
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How to Save 80% with TotalCAE Managed On-prem Clusters and Cloud
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
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