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

IBM Big Data Hub

Beyond artificial intelligence (AI) , deep learning drives many applications that improve automation , including everyday products and services like digital assistants, voice-enabled consumer electronics, credit card fraud detection and more. Deep learning requires a tremendous amount of computing power.

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The convergence of HPC and AI: Driving innovation at speed  

IBM Big Data Hub

Many industries rely on high-performance computing (HPC) to achieve this goal. For example, HPC offers high levels of computational power and scalability, crucial for running performance-intensive workloads. In the era of gen AI and hybrid cloud, IBM Cloud® HPC brings the computing power organizations need to thrive.

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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. There are approximately 7.8

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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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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.”