Architecture Manufacturing Mitigation Security 
Pure Storage
NOVEMBER 17, 2021
High performance computing (HPC) workloads using electronic design automation (EDA) tools require a high magnitude of compute resources to run jobs in a 24/7 queue for design and manufacturing processes. Intellectual property (IP) for chip design and manufacturing is the crown jewel for semiconductor companies. Seamless Data Mobility.
Security Industry Association
FEBRUARY 2, 2023
In my old legacy enterprise resource planning systems deployments, we called this model a service-oriented architecture. Like all risks, they can be mitigated, but as the research advances, we must be as dynamic with risk mitigation as we are with digital innovation.
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Pure Storage
APRIL 30, 2024
A viable NDRP is an essential component of any corporate risk mitigation program because it allows for rapid recovery from incidents that could otherwise lead to crippling business disruptions. By minimizing downtime and ensuring a faster resumption of services, an NDRP helps mitigate financial losses.
Pure Storage
APRIL 30, 2024
A viable NDRP is an essential component of any corporate risk mitigation program because it allows for rapid recovery from incidents that could otherwise lead to crippling business disruptions. By minimizing downtime and ensuring a faster resumption of services, an NDRP helps mitigate financial losses.
Security Industry Association
APRIL 4, 2023
Security Design Standard : It was a privilege to share the speaker’s stage with Steve Van Till, Art Hushen, and Lee Odess at The Lounge to reveal our vision to increase the professionalism of our industry through developing a security design standard. If any of these concepts resonate with you, then please reach out and get involved.
Pure Storage
MAY 2, 2024
GPUs are generally faster than CPUs for deep learning tasks, but the specialized architecture of TPUs often allows them to be faster than GPUs. By processing large data sets and complex neural network architectures efficiently, TPUs enable more accurate and timely recommendations, enhancing user experience and engagement.
Pure Storage
MAY 2, 2024
GPUs are generally faster than CPUs for deep learning tasks, but the specialized architecture of TPUs often allows them to be faster than GPUs. By processing large data sets and complex neural network architectures efficiently, TPUs enable more accurate and timely recommendations, enhancing user experience and engagement.
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