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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power. And processing this data takes a large amount of computing power.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

This means imaging the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

This means imagining the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Implied herein is a cloud computing model that ARMA (2016) defines as “A model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g.,

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Types of central processing units (CPUs)

IBM Big Data Hub

The central processing unit (CPU) is the computer’s brain. It handles the assignment and processing of tasks and manages operational functions that all types of computers use. CPU types are designated according to the kind of chip that they use for processing data. Both types are tied to specific computer actions.

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Seven top central processing unit (CPU) use cases

IBM Big Data Hub

The central processing unit (CPU) is the computer’s brain, assigning and processing tasks and managing essential operational functions. Computers have been so seamlessly integrated with modern life that sometimes we’re not even aware of how many CPUs are in use around the world.