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Software modernization: solutions, strategies, and examples.

BMC

And modernizing software and applications is a critical part of any successful digital transformation. After all, legacy software applications and technologies limit your organization’s ability to enable a digital-first user experience and business operations. Digital transformation requires being proactive. Let’s get started!

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Introducing the NetScaler Community: A learning resource for all

Citrix

Application architectures are becoming more complex, and so is application delivery and security. Major League Baseball hits a home run with Citrix Five hot topics for the manufacturing supply chain. This week we announced that the NetScaler name is back ! Related Stories It’s True: NetScaler is back! .

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Electronic Design Automation (EDA) Challenges and How Pure Helps Solve Them

Pure Storage

With this growth comes challenges around the core processes involved in semiconductor chip manufacturing. When manufacturers face challenges, so do supply chains, which makes meeting these challenges critical. Chip shortages are forcing manufacturers to speed up EDA workloads to accelerate the chip design process. What Is EDA?

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Call for Volunteers: SIA Standards and Technology Committees, Advisory Boards and Working Groups

Security Industry Association

Our goal with the Audio and Intelligent Communications Subcommittee is to help grow this technology segment by providing valuable business insights into the role of audio in safety and security applications. Join the AG-01 update initiative and contribute to the modernization of architectural graphics for security.

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Boosting the Power of EDA Workloads on Modern Data Platform

Pure Storage

Hyperscale cloud providers like Amazon, Google, and Microsoft—along with consumer computing companies like Apple—are heavily focused on building proprietary processor designs specific to their needs, while other manufacturers like Intel, AMD, and Qualcomm are all focusing on delivering sub-10 nm Application Specific Integrated Circuits (ASICs).

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TPUs vs. GPUs: What’s the Difference?

Pure Storage

TPUs are specialized processors designed by Google for AI applications built with TensorFlow. Their processing efficiency for tensor operations enables faster model training times, reduced infrastructure costs, and improved performance, all of which help drive advancements in AI research and applications. What Is a TPU? What Is a GPU?

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TPUs vs. GPUs: What’s the Difference?

Pure Storage

TPUs are specialized processors designed by Google for AI applications built with TensorFlow. Their processing efficiency for tensor operations enables faster model training times, reduced infrastructure costs, and improved performance, all of which help drive advancements in AI research and applications. What Is a TPU? What Is a GPU?